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学术引用:基于计算机科学领域学者空间的中国学者引用分析。

ScholarCitation: Chinese Scholar Citation Analysis Based on ScholarSpace in the Field of Computer Science.

作者信息

Su Hanting, Fan Zhuoya, Cao Chen, Zhang Yi, Wang Shuo, Meng Xiaofeng

机构信息

Web and Mobile Data Management Lab, Information School, Renmin University of China, Beijing, China.

出版信息

Front Big Data. 2019 Nov 26;2:41. doi: 10.3389/fdata.2019.00041. eCollection 2019.

Abstract

Citation analysis is one of the most commonly used methods in academic assessments. Up to now, most of academic assessments are based on English literature, ignoring the fact that the role of Chinese papers in academic assessments has become increasingly indispensable. Therefore, to give full play to the role of Chinese literature in academic assessments is an urgent task of current academic circle. Based on Chinese academic data from ScholarSpace, i.e., 82826 Chinese computer science journal papers, we conduct a comprehensive assessment of academic influence from the perspectives of fields, journals and institutions, in order to achieve a better understanding of the development of Chinese computer literature in the past 60 years. We find that Chinese scholars tend to cite papers in English, discover evolution trend of fields, journals and institutions, and call on journals, institutions, and scholars to strengthen their cooperation.

摘要

引文分析是学术评估中最常用的方法之一。到目前为止,大多数的学术评估都是基于英文文献,而忽略了中文论文在学术评估中的作用已变得越来越不可或缺这一事实。因此,充分发挥中文文献在学术评估中的作用是当前学术界的一项紧迫任务。基于来自ScholarSpace的中国学术数据,即82826篇中国计算机科学期刊论文,我们从领域、期刊和机构的角度对学术影响力进行了全面评估,以便更好地了解中国计算机文献在过去60年中的发展情况。我们发现中国学者倾向于引用英文论文,发现了领域、期刊和机构的发展趋势,并呼吁期刊、机构和学者加强合作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ea1/7931932/92d732bb447e/fdata-02-00041-g0001.jpg

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