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fdata-02-00041_ScholarCitation: Chinese Scholar Citation Analysis Based on ScholarSpace in the Field of Computer Science.xml

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NIAID Data Ecosystem2026-03-11 收录
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https://figshare.com/articles/dataset/fdata-02-00041_ScholarCitation_Chinese_Scholar_Citation_Analysis_Based_on_ScholarSpace_in_the_Field_of_Computer_Science_xml/11946696
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资源简介:
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.

引文分析是学术评价中最常用的方法之一。迄今为止,多数学术评价均以英文文献为基础,却忽视了中文论文在学术评价中的作用已愈发不可或缺。因此,充分发挥中文文献在学术评价中的价值,是当前学术界亟待完成的重要任务。本研究基于ScholarSpace平台的中文学术数据——即共计82826篇中文计算机科学期刊论文——从学科、期刊与机构三个维度对学术影响力展开全面评估,以期更深入地洞悉过去60年间中国计算机领域学术文献的发展脉络。研究发现:中国学者更倾向于引用英文文献;本研究梳理了学科、期刊与机构的演进趋势;同时呼吁期刊、科研机构及学者加强协作。
创建时间:
2020-03-06
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