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Data-enhanced revealing of trends in Geoscience
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作者 Yu Zhao Meng Wang +6 位作者 Jiaxin Ding Jiexing Qi Lyuwen Wu Sibo Zhang Luoyi Fu Xinbing Wang Li Cheng 《Journal of Data and Information Science》 CSCD 2024年第3期29-43,共15页
Purpose:This article presents an in-depth analysis of global research trends in Geosciences from 2014 to 2023.By integrating bibliometric analysis with expert insights from the Deep-time Digital Earth(DDE)initiative,t... Purpose:This article presents an in-depth analysis of global research trends in Geosciences from 2014 to 2023.By integrating bibliometric analysis with expert insights from the Deep-time Digital Earth(DDE)initiative,this article identifies key emerging themes shaping the landscape of Earth Sciences①.Design/methodology/approach:The identification process involved a meticulous analysis of over 400,000 papers from 466 Geosciences journals and approximately 5,800 papers from 93 interdisciplinary journals sourced from the Web of Science and Dimensions database.To map relationships between articles,citation networks were constructed,and spectral clustering algorithms were then employed to identify groups of related research,resulting in 407 clusters.Relevant research terms were extracted using the Log-Likelihood Ratio(LLR)algorithm,followed by statistical analyses on the volume of papers,average publication year,and average citation count within each cluster.Additionally,expert knowledge from DDE Scientific Committee was utilized to select top 30 trends based on their representation,relevance,and impact within Geosciences,and finalize naming of these top trends with consideration of the content and implications of the associated research.This comprehensive approach in systematically delineating and characterizing the trends in a way which is understandable to geoscientists.Findings:Thirty significant trends were identified in the field of Geosciences,spanning five domains:deep space,deep time,deep Earth,habitable Earth,and big data.These topics reflect the latest trends and advancements in Geosciences and have the potential to address real-world problems that are closely related to society,science,and technology.Research limitations:The analyzed data of this study only contain those were included in the Web of Science.Practical implications:This study will strongly support the organizations and individual scientists to understand the modern frontier of earth science,especially on solid earth.The organizations such as the surveys or natural science fund could map out areas for future exploration and analyze the hot topics reference to this study.Originality/value:This paper integrates bibliometric analysis with expert insights to highlight the most significant trends on earth science and reach the individual scientist and public by global voting. 展开更多
关键词 GEOSCIENCES Research trends BIBLIOMETRICS Expert knowledge Global voting
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Trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022
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作者 Qiang-Qiang Fu Le Ma +5 位作者 Xiao-Min Niu Hua-Xin Zhao Xu-Hua Ge Hua Jin De-Hua Yu Sen Yang 《World Journal of Gastrointestinal Oncology》 SCIE 2024年第6期2842-2861,共20页
BACKGROUND Gastrointestinal neoplasm(GN)significantly impact the global cancer burden and mortality,necessitating early detection and treatment.Understanding the evolution and current state of research in this field i... BACKGROUND Gastrointestinal neoplasm(GN)significantly impact the global cancer burden and mortality,necessitating early detection and treatment.Understanding the evolution and current state of research in this field is vital.AIM To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research,focusing on key contributors,institutions,and thematic evolution.METHODS This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the"bibliometrix"R package,VOSviewer,and CiteSpace.The analysis focused on the distribution of publications,contributions by institutions and countries,and trends in keywords.The methods included data synthesis,network analysis,and visualization of international collaboration networks.RESULTS This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration.It highlights the United States'critical role in advancing this field,with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute.The last five years,substantial advancements have been made,representing nearly 45%of the examined literature.Publication rates have dramatically increased,from 20 articles in 2002 to 112 in 2022,reflecting intensified research efforts.This study underscores a growing trend toward interdisciplinary and international collaboration,with the Journal of Clinical Oncology standing out as a key publication outlet.This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks.CONCLUSION This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis.This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy,ultimately enhancing worldwide patient care. 展开更多
关键词 Gastrointestinal neoplasms Bibliometric analysis Risk assessment Network analysis Research trends
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Global research trends and hotspots in overweight/obese comorbid with depression among children and adolescents: A bibliometric analysis
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作者 Ya-Qi Wang Tao-Tao Wu +2 位作者 Yan Li Shi-En Cui Ying-Shuai Li 《World Journal of Psychiatry》 SCIE 2024年第8期1267-1284,共18页
BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.... BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.Childhood and adolescence represent critical periods for physical and psychological development,during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.AIM To evaluate the relationship between ODCA,we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.METHODS From 2004 to 2023,articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection.Bibliometric analysis of relevant publications,including countries/regions,institutions,authors,journals,references,and keywords,was conducted using the online bibliometric analysis platforms,CiteSpace,VOSviewer,and bibliometrix.RESULTS Between 2004 and 2023,a total of 1573 articles were published on ODCA.The United States has made leading contributions in this field,with Harvard University emerging as the leading contributor in terms of research output,and Tanofsky being the most prolific author.The J Adolescent Health has shown significant activity in this domain.Based on the results of the keyword and reference analyses,inequality,adverse childhood experiences,and comorbidities have become hot topics in ODCA.Moreover,the impact of balancedrelated behavior and exploration of the biological mechanisms,including the potential role of key adipocytokines and lipokines,as well as inflammation in ODCA,have emerged as frontier topics.CONCLUSION The trend of a significant increase in ODCA publications is expected to continue.The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment. 展开更多
关键词 Children Adolescents OVERWEIGHT OBESITY DEPRESSION Bibliometric analysis Research trends
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Research hotspots and trends in transcranial magnetic stimulation for cognitive impairment:A bibliometric analysis from 2014 to 2023
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作者 Qi Zhang Peng-Peng Zhu +1 位作者 Lun Yang Ai-Song Guo 《World Journal of Psychiatry》 SCIE 2024年第10期1592-1604,共13页
BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcrani... BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcranial magnetic stimulation,a noninvasive neuromodulation technique,is frequently employed to treat cognitive impairment in neuropsychiatric disorders.AIM To analyzed the state of international research on neuromodulation methods for treating cognitive impairment between 2014 and 2023,with the aim of exploring the state of research worldwide and the most recent developments in this particular area.METHODS Articles and reviews pertaining to neuromodulation methods for cognitive impairment were examined using the web of science database between January 2014 and December 2023.Publications,nations,organizations,writers,journals,citations,and keywords data from the identified studies were systematically analyzed using the CiteSpace 6.3.R1 software.RESULTS A total of 2371 documents with 11750 authors and 9461 institutions,with some cooccurrences,were retrieved.The quantity of yearly publications is showing an increasing trend.The United States and China have emerged as important contributors.Among the institutes,Harvard University had the highest number of publications,while Rossi S an author who is frequently cited.Initially,the primary keywords included human motor cortex,placebo-controlled trials,and serotonin reuptake inhibitors.However,the emphasis gradually moved to substance use disorders,supplementary motor areas,neural mechanisms,and exercise.CONCLUSION The use of neuromodulation techniques to treat cognitive impairment has drawn interest from academics all around the world.This study revealed hotspots and new trends in the research of transcranial magnetic stimulation as a cognitive impairment rehabilitation treatment.These findings are hold significant potential to guide further research and thus promote transcranial magnetic stimulation as a treatment method for cognitive impairment. 展开更多
关键词 Transcranial magnetic stimulation Cognitive impairment Bibliometric analysis HOTSPOTS Research trends
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Global Scientific Trends in Research Related to Diabetic Sarcopenia from 1993 to 2023: A Bibliometric Analysis
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作者 Qing Yang Yuan Zhao +2 位作者 Han Lu Yaolei Cha Lijie Yang 《Journal of Biosciences and Medicines》 2024年第3期204-222,共19页
Objectives: In this study, bibliometric approach was used to explore the literature in the field of research related to Diabetic Myasthenia Gravis in order to identify the current research progress in Diabetic Myasthe... Objectives: In this study, bibliometric approach was used to explore the literature in the field of research related to Diabetic Myasthenia Gravis in order to identify the current research progress in Diabetic Myasthenia Gravis related research and to help the researchers to predict the future hotspots in the field of research and to provide reference for the research. Methods: Literature related to diabetic sarcopenia published from 1993 to 2023 since the inception of the repository was extracted from the Web of Science Core Collection (WoSCC) and bibliometric analyses were performed. We have analysed the published literature of the last approximately almost 30 years, as well as publication and citation analyses from different countries, institutions, journals and authors. For keywords, we performed co-occurrence, clustering, timeline view and citation burst analysis. Results: On the basis of 1564 publications, we found a continuous increase in the number of publications and citations, especially in the last six years. The United States is the most representative country, and Seoul National University (SNU) is the most representative institution. The most popular journal in the field is Diabetes Care;Fukui, Michiaki is the most prolific author, leading many studies related to diabetic sarcopenia. The most frequently cited reference was a revised European consensus on the definition and diagnosis of sarcopenia;the most cited keywords were related to physiological factors of diabetes, sarcopenia and related conditions, such as “insulin resistance”, “skeletal muscle”, “body composition”, “risk” and “prevalence”. Conclusion: With more and more studies on the relationship between diabetic sarcopenia, this study presents the current status and trend of research related to diabetic sarcopenia over the past nearly 30 years through the visualization software CiteSpace. It can help researchers identify potential collaborators and partner institutions, hotspots and research frontiers in the field of diabetic sarcopenia. However, our work is only based on the English language literature in the WoSCC database, and for future studies, we recommend that researchers explore the literature from multiple databases to enhance the scope of their research. 展开更多
关键词 DIABETES SARCOPENIA BIBLIOMETRICS Research trends Citespace
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Hotspots and research trends of Piwi-interacting RNAs from 2006 to 2023 based on bibliometric analysis
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作者 Lu Shen Zhe-Zhong Zhang +1 位作者 Shi-Liang Chen Ting-Yu Weng 《Medical Data Mining》 2024年第3期33-45,共13页
Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stabi... Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies. 展开更多
关键词 PIRNA research trends bibliometric analysis VOSviewer CITESPACE
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Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022 被引量:1
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作者 Ren-Chun Du Yao-Bin Ouyang Yi Hu 《World Journal of Gastroenterology》 SCIE CAS 2023年第22期3561-3573,共13页
BACKGROUND Recently,artificial intelligence(AI)has been widely used in gastrointestinal endoscopy examinations.AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive ... BACKGROUND Recently,artificial intelligence(AI)has been widely used in gastrointestinal endoscopy examinations.AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive diseases using bibliometric analysis.METHODS Relevant publications from the Web of Science published from 1990 to 2022 were extracted using a combination of the search terms“AI”and“endoscopy”.The following information was recorded from the included publications:Title,author,institution,country,endoscopy type,disease type,performance of AI,publication,citation,journal and H-index.RESULTS A total of 446 studies were included.The number of articles reached its peak in 2021,and the annual citation numbers increased after 2006.China,the United States and Japan were dominant countries in this field,accounting for 28.7%,16.8%,and 15.7%of publications,respectively.The Tada Tomohiro Institute of Gastroenterology and Proctology was the most influential institution.“Cancer”and“polyps”were the hotspots in this field.Colorectal polyps were the most concerning and researched disease,followed by gastric cancer and gastrointestinal bleeding.Conventional endoscopy was the most common type of examination.The accuracy of AI in detecting Barrett’s esophagus,colorectal polyps and gastric cancer from 2018 to 2022 is 87.6%,93.7%and 88.3%,respectively.The detection rates of adenoma and gastrointestinal bleeding from 2018 to 2022 are 31.3%and 96.2%,respectively.CONCLUSION AI could improve the detection rate of digestive tract diseases and a convolutional neural network-based diagnosis program for endoscopic images shows promising results. 展开更多
关键词 Bibliometric analysis Artificial intelligence ENDOSCOPY PUBLICATIONS Research trends
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Automated writing evaluation(1995-2022):Research trends and implications 被引量:1
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作者 ZHANG TINGYU LEI LEI 《语言测试与评价》 2023年第1期61-88,123,共29页
Automated writing evaluation is the use of computer programs to evaluate essays written in an educational setting.This study aims to evaluate the state of the art and the trends of automated writing evaluation researc... Automated writing evaluation is the use of computer programs to evaluate essays written in an educational setting.This study aims to evaluate the state of the art and the trends of automated writing evaluation research.A total of 206 automated writing evaluation-related publications published in 88 journals between 1995 and 2022 were used as the data in our study.Bibliometric methods were employed to identify the publication trends,venues for publication,productive authors,highly cited articles,seminal works,and the most frequently explored topics across the past decades.The findings show that automated writing evaluation has become a fast-growing interdisciplinary area of interest.In addition,this line of research has witnessed a growing interest in topics pertaining to the latest technology,the perception of children,the teachers’feedback,and complex tasks.Implications of our study for future research are also discussed. 展开更多
关键词 automated writing evaluation research trends bibliometric analysis
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Information Extraction Based on Multi-turn Question Answering for Analyzing Korean Research Trends
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作者 Seongung Jo Heung-Seon Oh +2 位作者 Sanghun Im Gibaeg Kim Seonho Kim 《Computers, Materials & Continua》 SCIE EI 2023年第2期2967-2980,共14页
Analyzing Research and Development(R&D)trends is important because it can influence future decisions regarding R&D direction.In typical trend analysis,topic or technology taxonomies are employed to compute the... Analyzing Research and Development(R&D)trends is important because it can influence future decisions regarding R&D direction.In typical trend analysis,topic or technology taxonomies are employed to compute the popularities of the topics or codes over time.Although it is simple and effective,the taxonomies are difficult to manage because new technologies are introduced rapidly.Therefore,recent studies exploit deep learning to extract pre-defined targets such as problems and solutions.Based on the recent advances in question answering(QA)using deep learning,we adopt a multi-turn QA model to extract problems and solutions from Korean R&D reports.With the previous research,we use the reports directly and analyze the difficulties in handling them using QA style on Information Extraction(IE)for sentence-level benchmark dataset.After investigating the characteristics of Korean R&D,we propose a model to deal with multiple and repeated appearances of targets in the reports.Accordingly,we propose a model that includes an algorithm with two novel modules and a prompt.A newly proposed methodology focuses on reformulating a question without a static template or pre-defined knowledge.We show the effectiveness of the proposed model using a Korean R&D report dataset that we constructed and presented an in-depth analysis of the benefits of the multi-turn QA model. 展开更多
关键词 Natural language processing information extraction question answering multi-turn Korean research trends
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Research trends of machine learning in traditional medicine:a big-data based tenyear bibliometric analysis
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作者 Wen-Cai Liu Meng-Pan Li +6 位作者 Hai-Yue Huang Jing-Jie Min Tao Liu Ming-Xuan Li Wei-Jie Liao Hui Ying Jun-Bo Tu 《Traditional Medicine Research》 2023年第7期1-10,共10页
Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to anal... Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to analyze publications on machine learning in traditional medicine by using bibliometric methods and explore global trends in the field.Methods:Relevant research on machine learning in traditional medicine extracted from the Web of Science Core Collection database.Bibliometric analysis and visualization were performed using the Bibliometrix package in R software.Global trends,source journals,authorship,and thematic keywords analysis were performed in this study.Results:From 2012 to 2022,a total of 282 publications on machine learning in traditional medicine were identified and analyzed.The average annual growth rate of the publications was 13.35%.China had the largest contribution in this field(53.9%),followed by the United States(32.6%).IEEE Access had the largest number of published articles,with a total of 15 articles.Calvin Yu-Chian Chen,Xiao-juan Hu and Jue Wang were the main researchers in this field.Shanghai University of Traditional Chinese Medicine and University of California,San Francisco were the main research institutions.Conclusion:This study provides information on research trends in machine learning in traditional medicine to better understand research hotspots and future developments in this field.According to current global trends,the number of publications in this field will gradually increase.China currently dominated the field.Applied research of machine learning techniques may be the next hot topic in this field and deserves further attention. 展开更多
关键词 bibliometric analysis machine learning traditional medicine Web of Science research trends
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Trends in Domestic Soundscape Research: Knowledge Graph Analysis Based on Cite Space
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作者 Jinlin TENG Yutao ZHENG +1 位作者 Feiping CHEN Hua LI 《Meteorological and Environmental Research》 CAS 2023年第2期35-41,共7页
The development of soundscape has a history of over 20 years to this day. Based on the CNKI database, a contact graph of authors in the field of soundscape is drawn using Cite Space software, and the number of core au... The development of soundscape has a history of over 20 years to this day. Based on the CNKI database, a contact graph of authors in the field of soundscape is drawn using Cite Space software, and the number of core authors in the field of soundscape is determined to be 30. Based on the number of papers and the evolution of keywords over the years, the development of soundscape research is divided into three stages: exploration stage(1995-2006), pre development stage(2007-2015), and post development stage(2016-present). The research direction is divided into three categories: soundscape perception, soundscape evaluation, and soundscape design. According to various graph analysis, with the continuous development of science and technology, soundscape research fields and methods are gradually diversified, and fields such as soundscape evaluation, soundscape, landscape architecture, soundscape perception and sound stroll have gradually become hot spots in soundscape research. 展开更多
关键词 Cite Space Research trends SOUNDSCAPE Soundscape evolution
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Trends in research on osteoarthritis of the knee in conventional medicine:a bibliometric analysis based on big data from 1990-2022
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作者 Zhu-Ce Shao Shu-Xiong Bi 《TMR Integrative Medicine》 2023年第6期1-10,共10页
Background:Osteoarthritis of the knee(KOA)is a chronic degenerative disease.KOA is a growing concern due to its high incidence and the pain and other burdens it places on patients.Traditional medicine is a health care... Background:Osteoarthritis of the knee(KOA)is a chronic degenerative disease.KOA is a growing concern due to its high incidence and the pain and other burdens it places on patients.Traditional medicine is a health care model with a long history that includes nature-based treatments,psycho-psychological types of treatments,and more.Traditional medicine is also more effective in diagnosing and treating KOA,and it has never stopped researching KOA.There are no bibliometric studies analyzing articles on the traditional medical diagnosis and management of KOA.This study aimed to comprehensively analyze and analyze the general trends in the study of KOA in traditional medicine from a bibliometric perspective.Methods:All articles reporting on KOA and traditional medicine from 1 January 1990 to 01 November 2022 were obtained from the Web of Science Core.Some software such as CiteSpace,VOS Viewer and Scimago Graphica were used to analyse the publications,which included authors,citations,journals,references,countries where studies were published,institutions and research keywords.The final visualisations were produced using this data.Results:A total of 769 articles were searched.Peijian Tong was identified as the most contributing and published author in the field,and medicine was identified as the most reputable journal in the field of traditional medicine and osteoarthritis of the knee.China is a global leader in the field and a centre of collaboration in the field,with a major concentration of traditional medicine in Asia,which is consistent with the evidence that traditional medicine originated in Asia.According to the data,“osteoarthritis”,“knee osteoarthritis”,“pain”,and“knee”and“hip”were identified as hot keywords for research in this area.Conclusions:The results of this bibliometric study provide a snapshot of the current state of clinical research in the treatment of KOA in traditional medicine and are well placed to envisage future hotspots and possible trends,and may help to provide researchers with more than enough information with a view to guiding the cutting edge of research in this field and the infinite possibilities for the future. 展开更多
关键词 knee osteoarthritis traditional medicine BIBLIOMETRICS visualized study research trends big data
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An Analysis of the Research Trends in Blended Learning Methods in Teaching College English Reading Courses
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作者 Ling Liang 《Journal of Contemporary Educational Research》 2023年第8期41-52,共12页
Curtis J.Bonk defined blended learning as a combination of face-to-face and computer-assisted online learning instruction since it was gradually formed after the emergence of the Internet[1,2].Breen pointed out that b... Curtis J.Bonk defined blended learning as a combination of face-to-face and computer-assisted online learning instruction since it was gradually formed after the emergence of the Internet[1,2].Breen pointed out that blended learning is a learning method that combines online and offline learning activities and resources[3].The blended learning approach is popular in school and e-learning.Moreover,it is one of the important trends in promoting higher education reform in the coming years.Therefore,it has attracted the attention of international researchers[4].In this paper,42 articles in Scopus(established by international institutions)and 30 articles in CNKI(found by Chinese mainland institutions)on the query of“college English reading blended learning”in the field of education were analyzed.Furthermore,CiteSpace software was used to analyze the research hotspots and trends with the keyword clusters and citations that occurred in the last two decades(1999 to 2022)to foresee future research prospects. 展开更多
关键词 Research trend Blended learning College English reading courses SCOPUS CNKI
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Hotspots and trends of environmental,social and governance(ESG)research:a bibliometric analysis
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作者 Guochao Wan Ahmad Yahya Dawod +1 位作者 Somsak Chanaim Siva Shankar Ramasamy 《Data Science and Management》 2023年第2期65-75,共11页
This study examines paper-level metrics in the literature on topics related to environmental,social and governance(ESG)to provide a research agenda for hotspots and trends.Based on 755 papers on ESG in the Web of Scie... This study examines paper-level metrics in the literature on topics related to environmental,social and governance(ESG)to provide a research agenda for hotspots and trends.Based on 755 papers on ESG in the Web of Science Core Collection database from 2004 to 2021,we use VOSviewer and CiteSpace to present a bibliometric review of publications,citation structure,authors,universities,countries,journals,and keywords on the topic.Additionally,the philosophy of the ESG system,factors affecting ESG,the financial outcomes of ESG,the association between ESG and corporate social responsibility(CSR),and ESG investing are presented as research hotspots.Furthermore,three research trends are identified:research on the influencing factors and economic consequences of ESG in the context of emerging markets,mechanism analysis of ESG’s impact on the capital market,and further research on ESG information disclosure and ESG ratings.Our study enriches ESG theory and provides new paths for researchers and practitioners. 展开更多
关键词 Environmental social and governance(ESG) Bibliometric analysis HOTSPOTS Research trends VOSviewer CiteSpace
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Research status and hotspots of tight junctions and colorectal cancer:A bibliometric and visualization analysis
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作者 Hui-Min Li Yin Liu +5 位作者 Meng-Di Hao Xiao-Qing Liang Da-Jin Yuan Wen-Bin Huang Wen-Jie Li Lei Ding 《World Journal of Gastrointestinal Oncology》 SCIE 2024年第8期3705-3715,共11页
BACKGROUND Colorectal cancer(CRC)is the third most common cancer worldwide and the second leading cause of cancer-related death.Over the past two decades,numerous researchers have provided important evidence regarding... BACKGROUND Colorectal cancer(CRC)is the third most common cancer worldwide and the second leading cause of cancer-related death.Over the past two decades,numerous researchers have provided important evidence regarding the role of tight junction(TJ)proteins in the occurrence and progression of CRC.The causal relationship between the presence of specific TJ proteins and the development of CRC has also been confirmed.Despite the large number of publications in this field,a bibliometric study to review the current state of research and highlight the research trends and hotspots in this field has not yet been performed.AIM To analyze research on TJs and CRC,summarize the field’s history and current status,and predict future research directions.METHODS We searched the Science Citation Index Expanded database for all literature on CRC and TJs from 2001-2023.We used bibliometrics to analyze the data of these papers,such as the authors,countries,institutions,and references.Co-authorship,co-citation,and co-occurrence analyses were the main methods of analysis.CiteSpace and VOSviewer were used to visualize the results.RESULTS A total of 205 studies were ultimately identified.The number of publications on this topic has steadily increased since 2007.China and the United States have made the largest contributions to this field.Anticancer Research was the most prolific journal,publishing 8 articles,while the journal Oncogene had the highest average citation rate(68.33).Professor Dhawan P was the most prolific and cited author in this field.Co-occurrence analysis of keywords revealed that“tight junction protein expression”,“colorectal cancer”,“intestinal microbiota”,and“inflammatory bowel disease”had the highest frequency of occurrence,revealing the research hotspots and trends in this field.CONCLUSION This bibliometric analysis evaluated the scope and trends of TJ proteins in CRC,providing valuable research perspectives and future directions for studying the connection between the two.It is recommended to focus on emerging research hotspots,such as the correlations among intestinal microbiota,inflammatory bowel disease,TJ protein expression,and CRC. 展开更多
关键词 Colorectal cancer Tight junctions Bibliometric analysis Research trends Hot spots
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Visual Analysis of Domestic and Foreign Building Brick Skin Research Based on Citespace
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作者 LIU Xingnian LI Haiying 《Journal of Landscape Research》 2024年第2期47-50,共4页
With the progress of the times and the leap of science and technology,the application of brick materials and the research on the brick skin in modern architectural design have shown a dual-track development trend of r... With the progress of the times and the leap of science and technology,the application of brick materials and the research on the brick skin in modern architectural design have shown a dual-track development trend of returning to tradition and innovation.Based on the core collection database resources of Web of Science and the CiteSpace visual analysis tool,this paper constructed and analyzed the spatio-temporal map of keyword co-occurrence network,cluster structure,mutation phenomenon,time course and regional distribution map of building brick skin research.The study revealed that in recent years,the research on brick materials has spanned the study of single material properties and extensively involved in the broad world of construction,especially in the integration of green energy-saving technology,the innovation of fine construction technology of brick skin,and the frontier exploration of digital technology in brick masonry,which has shown particularly significant research vitality and development potential. 展开更多
关键词 CITESPACE Building brick skin Trend of research hotspot Research review
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Visual Analysis of Remote Sensing Monitoring of Soil Salinization
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作者 Honglei LI Chong DU Xuege WANG 《Meteorological and Environmental Research》 2024年第4期39-43,48,共6页
Soil salinization seriously restricts the development of agricultural production,the sustainable use of land resources,and the stability of the ecological environment.In order to objectively reveal the research status... Soil salinization seriously restricts the development of agricultural production,the sustainable use of land resources,and the stability of the ecological environment.In order to objectively reveal the research status of soil salinization,CiteSpace software was used to conduct data mining and quantitative analysis on research papers on soil salinization from 2008 to 2023 in China National Knowledge Infrastructure(CNKI)and Web of science databases.The data sources were transformed into visual graphs by reproducing clustering statistics from aspects such as publication volume,authors,keywords,and publishing institutions.In addition,this paper also combined the actual needs and cutting-edge hotspots in relevant research in China,and proposed and analyzed the limitations and future development trends of soil salinity monitoring research in China.This has important practical significance for comprehensively grasping the current research status of salinization,further clarifying and sorting out the research ideas of salinization monitoring,enriching the remote sensing monitoring methods of saline soil,and solving the actual problems of soil salinization in China. 展开更多
关键词 Soil salinization Trend research Remote sensing monitoring Bibliometric analysis CITESPACE
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Trend analysis of stroke risk research based on three-dimensional metrics
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作者 Ze-Guo Shao Yang Lu +6 位作者 Xin-Yue Wang Jie Ma Chen-Di Yuan Fei Wang Qi Sang Wen-Ting Xu Xu Yang 《Biomedical Engineering Communications》 2024年第3期12-22,共11页
This study comprehensively analyzes the status,characteristics,focal points,and evolving trends of global research on“stroke risk analysis”over the past four years(2020–2023),aiming to provide insights for directin... This study comprehensively analyzes the status,characteristics,focal points,and evolving trends of global research on“stroke risk analysis”over the past four years(2020–2023),aiming to provide insights for directing future research endeavors.By utilizing the Newcastle-Ottawa Scale,63 high-quality research papers were selected and subjected to a systematic literature review.In terms of research methods,stroke risk analysis research has evolved from clinical trials(e.g.,establishing control groups,using authoritative scales)towards statistical and data analysis methods(e.g.,decision tree analysis).Regarding research factors,early studies primarily focused on pathological factors associated with hemorrhagic and ischemic stroke,such as hypertension,hyperlipidemia,and diabetes.Recent research from the past two years indicates a shift towards emerging factors,including temperature conditions,air quality,and Corona Virus Disease 2019(COVID-19).In terms of application domains,stroke research covers a broad range of fields but mainly focuses on exploring risk factors,interventions during diagnosis and treatment stages,and rehabilitation,with clinical diagnosis,treatment,and drug intervention studies being predominant.While the research landscape is becoming increasingly diversified and comprehensive,there remains a need for more comprehensive and in-depth studies on novel topics,as well as integrated applications of research methods,presenting ample opportunities for exploring dependent variables in future stroke. 展开更多
关键词 stroke risk systematic literature review research trends
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Plant Root Research Methods and Trends 被引量:2
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作者 张博文 《Agricultural Science & Technology》 CAS 2017年第12期2295-2298,2302,共5页
The root system is an important organ that plants absorb nutrients from the soil, and can synthesize the vital substances necessary for the plant. However, the study on root system is burdened with great challenges du... The root system is an important organ that plants absorb nutrients from the soil, and can synthesize the vital substances necessary for the plant. However, the study on root system is burdened with great challenges due to its underground roots. In order to further explore the research methods and techniques of plant roots, the research mainly reviewed the research methods of root system, and summarized the methods of conventional root research, such as digging method, core drilling method, container method and isotope method. The progress of CT scan method, ground penetrating radar, special environmental culture method, nucle- ar magnetic resonance method and CCD three-dimensional imaging method were reviewed. Prospects for plant root research were made according to the trends of root research methods usincl hiqh-end technolo.qy at home and abroad. 展开更多
关键词 Root system Research methods In situ observation 3u reconstruction Research trends
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Understanding Research Trends in Android Malware Research Using Information Modelling Techniques 被引量:1
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作者 Jaiteg Singh Tanya Gera +3 位作者 Farman Ali Deepak Thakur Karamjeet Singh Kyung-sup Kwak 《Computers, Materials & Continua》 SCIE EI 2021年第3期2655-2670,共16页
Android has been dominating the smartphone market for more than a decade and has managed to capture 87.8%of the market share.Such popularity of Android has drawn the attention of cybercriminals and malware developers.... Android has been dominating the smartphone market for more than a decade and has managed to capture 87.8%of the market share.Such popularity of Android has drawn the attention of cybercriminals and malware developers.The malicious applications can steal sensitive information like contacts,read personal messages,record calls,send messages to premium-rate numbers,cause financial loss,gain access to the gallery and can access the user’s geographic location.Numerous surveys on Android security have primarily focused on types of malware attack,their propagation,and techniques to mitigate them.To the best of our knowledge,Android malware literature has never been explored using information modelling techniques.Further,promulgation of contemporary research trends in Android malware research has never been done from semantic point of view.This paper intends to identify intellectual core from Android malware literature using Latent Semantic Analysis(LSA).An extensive corpus of 843 articles on Android malware and security,published during 2009–2019,were processed using LSA.Subsequently,the truncated singular Value Decomposition(SVD)technique was used for dimensionality reduction.Later,machine learning methods were deployed to effectively segregate prominent topic solutions with minimal bias.Apropos to observed term and document loading matrix values,this five core research areas and twenty research trends were identified.Further,potential future research directions have been detailed to offer a quick reference for information scientists.The study concludes to the fact that Android security is crucial for pervasive Android devices.Static analysis is the most widely investigated core area within Android security research and is expected to remain in trend in near future.Research trends indicate the need for a faster yet effective model to detect Android applications causing obfuscation,financial attacks and stealing user information. 展开更多
关键词 Android security research trends latent semantic analysis VULNERABILITIES MALWARE machine learning CLUSTERING
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