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基于Citation Topic和CiteSpace的长三角地区研究热点的可视化分析

Visual Analysis of Research Hotspots in Yangtze River Delta Based on Citation Topic and CiteSpace
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摘要 【目的/意义】对长三角地区的研究热点进行可视化分析,助力区域创新研究。【方法/过程】以Web of Science核心合集数据库中收录的近5年(2018~2022年)长三角地区的文献为数据源,首先,借助InCites数据库的Citation Topic功能,对微观主题的发文量、总被引频次、高被引论文和学科规范化的引文影响力等指标进行对比分析;其次,以热门微观主题冠状病毒为例,采用CiteSpace软件对该微观主题文献进行机构合作、关键词共现和关键词聚类的科学知识图谱分析。【结果/结论】超级电容器、氧还原反应、光催化作用和冠状病毒是近5年长三角地区的热门研究领域;新型冠状肺炎疫情下人群的心理健康、新型冠状肺炎疫情传播模拟和预测模型、新型冠状病毒致病机理、单克隆抗体药物的研发、临床特征、药物筛选和疫苗研发等是冠状病毒研究主题的研究热点。【创新/局限】提供了一种结合Citation Topic和CiteSpace工具分析和挖掘区域研究主题与热点的新路径。 [Purpose/significance] Visual analysis of research hotspots in the Yangtze River Delta region will support regional innovation research. [Method/process] Taking journal articles published in Yang-tze River Delta retrieved in Web of Science Core Collection in the recent 5 years (2018-2022) as the data source, first, based on the Citation Topics of InCites, a comparative analysis of indicators of mi-cro-topics, such as the number of papers, total cited times, highly cited papers and the category normalized citation impact, etc. is conducted;second, taking the micro-topic of coronavirus as an example, visual analysis of co-institution, keyword co-occurrence and clustering is made by CiteSpace knowledge mapping. [Result/conclusion] Supercapacitors, oxygen reduction reactions, photocatalysis, and coronavirus are the hot research topics in the Yangtze River Delta in the recent 5 year. Effect of COVID-19 on mental health of individuals, spread simulation and prediction models, pathogenesis, monoclonal antibody, clinical characteristics, drug screening and vaccine develop-ment of COVID-19, etc. are the hot research topics of the micro-topic of coronavirus. [Innova-tion/limitation] This paper provides a new path to analyze and mine regional research topics and hotspots by combining Citation Topic and CiteSpace tools.
作者 蒋海灵
出处 《统计学与应用》 2023年第5期1440-1450,共11页 Statistical and Application
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