The Chinese urban system is currently experiencing a fundamental shift, as it moves from a size-based hierarchy to a network-based system. Contemporary studies of city networks have tended to focus on economic interac...The Chinese urban system is currently experiencing a fundamental shift, as it moves from a size-based hierarchy to a network-based system. Contemporary studies of city networks have tended to focus on economic interactions without paying sufficient attention to the issue of knowledge flow. Using data on co-authored papers obtained from China Academic Journal Network Publishing Database （CAJNPD） during 2014-2016, this study explores several features of the scientific collaboration network between Chinese mainland cities. The study concludes that： （1） the spatial organization of scientific cooperation amongst Chinese cities is shifting from a jurisdiction-based hierarchical system to a networked system; and （2） several highly intra-connected city regions were found to exist in the network of knowledge, and such regions had more average internal linkages （14.21） than external linkages （8.69）, and higher average internal linkage degrees （14.43） than external linkage degrees （10.43）; and （3） differences existed in terms of inter-region connectivity between the Western, Eastern, and Central China regional networks （the average INCD of the three regional networks were 109.65, 95.81, and 71.88）. We suggest that China should engage in the development of regional and subregional scientific centers to achieve the goal of building an innovative country. Whilst findings reveal a high degree of concentration in those networks - a characteristic which reflects the hierarchical nature of China＇s urban economic structure - the actual spatial distribution of city networks of knowledge flow was found to be different from that of city networks based on economic outputs or population.展开更多
[目的/意义]通过文献调研梳理合著论文作者贡献度评价方法,总结研究不足及未来发展方向,为后续开展科技人才评价相关研究提供参考。[研究设计/方法]在Web of Science、Springe Link和CNKI等学术平台检索2010-2023年间发表的合著论文作...[目的/意义]通过文献调研梳理合著论文作者贡献度评价方法,总结研究不足及未来发展方向,为后续开展科技人才评价相关研究提供参考。[研究设计/方法]在Web of Science、Springe Link和CNKI等学术平台检索2010-2023年间发表的合著论文作者贡献度评价方法的研究文献,从传统评价方法、基于作者贡献声明的评价方法和基于科研产出的评价方法三个方面对文献进行归纳梳理。[结论/发现]合著论文作者贡献度评价方法已经取得了丰富的研究成果,但仍存在一些不足之处。未来的研究应从多方面出发考虑,进一步探索作者研究领域、作者学术关键词等学术背景因素对合著论文参与程度的影响,深入挖掘引文语义特征关系,以及加强对新模型及机器学习、深度学习算法的应用。[创新/价值]揭示了合著论文作者贡献度评价方法的发展进程与特点,阐述了合著论文作者贡献度评价方法的未来发展方向。展开更多
基于Web of Science数据库中的SCI、SSCI、A&HCI数据集,以“双一流”中42所“一流大学”与香港10所高校2009-2018年的合著论文为研究对象,采用文献计量法,对两地科技合作的趋势、集中度、影响力等指标进行分析。研究发现:两地高校...基于Web of Science数据库中的SCI、SSCI、A&HCI数据集,以“双一流”中42所“一流大学”与香港10所高校2009-2018年的合著论文为研究对象,采用文献计量法,对两地科技合作的趋势、集中度、影响力等指标进行分析。研究发现:两地高校科技合作呈上升趋势,产出规模年均复合增长率为10.18%;科技合作的机构集中度较高,资助基金集中于内地基金,聚焦电气与电子工程、材料科学及交叉科学等领域合作;香港主要高校的合著论文数、总被引次数和h指数明显高于排名前列的“一流大学”,而这些“一流大学”的篇均被引次数(CPP)和学科规范化引文影响力(CNCI)整体上高于香港主要高校。研究还发现:通过合作,两地高校的论文质量均得到提升,“一流大学”的提升幅度更为明显。展开更多
基金National Natural Science Foundation of China,No.41571151,No.41590842,No.71433008
文摘The Chinese urban system is currently experiencing a fundamental shift, as it moves from a size-based hierarchy to a network-based system. Contemporary studies of city networks have tended to focus on economic interactions without paying sufficient attention to the issue of knowledge flow. Using data on co-authored papers obtained from China Academic Journal Network Publishing Database （CAJNPD） during 2014-2016, this study explores several features of the scientific collaboration network between Chinese mainland cities. The study concludes that： （1） the spatial organization of scientific cooperation amongst Chinese cities is shifting from a jurisdiction-based hierarchical system to a networked system; and （2） several highly intra-connected city regions were found to exist in the network of knowledge, and such regions had more average internal linkages （14.21） than external linkages （8.69）, and higher average internal linkage degrees （14.43） than external linkage degrees （10.43）; and （3） differences existed in terms of inter-region connectivity between the Western, Eastern, and Central China regional networks （the average INCD of the three regional networks were 109.65, 95.81, and 71.88）. We suggest that China should engage in the development of regional and subregional scientific centers to achieve the goal of building an innovative country. Whilst findings reveal a high degree of concentration in those networks - a characteristic which reflects the hierarchical nature of China＇s urban economic structure - the actual spatial distribution of city networks of knowledge flow was found to be different from that of city networks based on economic outputs or population.
文摘[目的/意义]通过文献调研梳理合著论文作者贡献度评价方法,总结研究不足及未来发展方向,为后续开展科技人才评价相关研究提供参考。[研究设计/方法]在Web of Science、Springe Link和CNKI等学术平台检索2010-2023年间发表的合著论文作者贡献度评价方法的研究文献,从传统评价方法、基于作者贡献声明的评价方法和基于科研产出的评价方法三个方面对文献进行归纳梳理。[结论/发现]合著论文作者贡献度评价方法已经取得了丰富的研究成果,但仍存在一些不足之处。未来的研究应从多方面出发考虑,进一步探索作者研究领域、作者学术关键词等学术背景因素对合著论文参与程度的影响,深入挖掘引文语义特征关系,以及加强对新模型及机器学习、深度学习算法的应用。[创新/价值]揭示了合著论文作者贡献度评价方法的发展进程与特点,阐述了合著论文作者贡献度评价方法的未来发展方向。
文摘基于Web of Science数据库中的SCI、SSCI、A&HCI数据集,以“双一流”中42所“一流大学”与香港10所高校2009-2018年的合著论文为研究对象,采用文献计量法,对两地科技合作的趋势、集中度、影响力等指标进行分析。研究发现:两地高校科技合作呈上升趋势,产出规模年均复合增长率为10.18%;科技合作的机构集中度较高,资助基金集中于内地基金,聚焦电气与电子工程、材料科学及交叉科学等领域合作;香港主要高校的合著论文数、总被引次数和h指数明显高于排名前列的“一流大学”,而这些“一流大学”的篇均被引次数(CPP)和学科规范化引文影响力(CNCI)整体上高于香港主要高校。研究还发现:通过合作,两地高校的论文质量均得到提升,“一流大学”的提升幅度更为明显。
