摘要
[目的/意义]本文通过分析我国学者在CNS期刊上的发文现状及特征变化,以期对未来的研究发展提出建议,并为我国科研实力的进一步提升提供参考借鉴。[方法/过程]以Web of Science中1994–2019年间中国学者在CNS期刊上发表的论文为研究对象,借助可视化软件ITGInsight洞察历史变迁,并从合作国家、合作机构、合作作者、合作主题4个角度进行深入挖掘和透视。[结果/结论]合作国家从少数几个开始向全球发散;参与合作发文的中国机构逐渐丰富,外国机构由发散到集中;核心作者由单一领域到多领域、从单个团队到多个团队变化,团队间的交流也愈加频繁;主题丰富度实现了从零散到稀疏再到密集的变化。我国的科学研究取得了不可忽视的重大成就,但仍存在追求热点学科、缺少原创性成果等问题。
[Objective/Significance]This paper aims to provide suggestions for future research and development,and provide reference for the further improvement of China’s scientific research strength by analyzing the status quo and characteristic changes of the papers published in CNS journals by Chinese scholars.[Methods/Process]In this paper,the papers that Chinese published on CNS journals from 1994 to 2019 in web of science as the research object.With the visualization software ITGInsight,this paper can insight into the historical changes,and conduct in-depth exploration and perspective from the four perspectives of cooperative countries,cooperative institutions,cooperative authors and cooperative themes.[Results/Conclusions]It is found that the partnering countries started with a few and spread globally;the Chinese institutions participating in the cooperative publishing are blooming,and the foreign institutions are concentrated and agglomerated from all aspects;from the author’s point of view,the core author from a single field to multiple fields,from a single team to multiple teams,and the communication between teams is also more frequent;the theme richness changes from scattered to sparse to dense.China’s scientific research has made great achievements,but there still exist some problems such as the pursuit of hot subjects and the lack of original achievements.
作者
汪雪锋
于苗苗
韦华楠
刘玉琴
WANG Xuefeng;YU Miaomiao;WEI Huanan;LIU Yuqin(School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China;School of Journalism&Publishing,Beijing Institute of Graphic Communication,Beijing 102600,China)
出处
《情报工程》
2021年第3期3-17,共15页
Technology Intelligence Engineering
基金
富媒体数字出版内容组织与知识服务重点实验室开放基金项目“文本和图像语义关联技术研究”(ZD2019-10/05)。
