期刊文献+

国内外技术识别方法研究领域的可视化分析

Visualization analysis of technology identification methods in the research fieldboth domestically and internationally
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摘要 文章旨在以《大数据时代图书馆服务体系的创新与发展》中知识资源体系框架为指导,从不同维度解读国内外技术识别方法相关研究成果领域的发展进程,从宏观层面把握发展脉络,为创新研究方法等提供参考和借鉴。以CNKI和Web of Science(WoS)中的该领域相关文献数据为研究对象,通过UCINET、VOSViewer等可视化工具展开分析,从年度趋势、核心作者、发文机构、发文期刊、研究热点5个维度展开分析。结果表明,国内外该领域相关研究均在不断发展中,在发展速度、研究侧重点等方法呈现出显著不同。 The article aims to use the knowledge resource system framework in Innovation and development of library service system in the era of Big data as a guide to interpret the development process of research results related to technology identification methods at home and abroad from different dimensions,grasp the development trend from a macro level,and provide reference and inspiration for innovative research methods.Using literature data related to this field from CNKI and Web of Science(WoS)as the research object,analysis was conducted using visualization tools such as UCINET and VOSViewer.The analysis was conducted from five dimensions:annual trends,core authors,publishing institutions,publishing journals,and research hotspots.The results indicate that relevant research in this field is constantly developing both domestically and internationally,with significant differences in methods such as development speed and research focus.
作者 冯雪飞 刘杰 FENG Xuefei;LIU Jie(Library,Jiujiang University,Jiujiang 332000,China;Jinan Engineering Polytechnic,Jinan 250200,China)
出处 《江苏科技信息》 2024年第18期65-69,共5页 Jiangsu Science and Technology Information
基金 山东省自然科学基金青年项目,项目名称:基于专利计量与机器学习的校企技术合作供需智能匹配方法研究,项目编号:ZR2023QG105。
关键词 技术识别方法 文献计量 可视化 研究概况 technical identification methods bibliometrics visualization research research overview
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