广西师范大学学报（自然科学版）2024，Vol.42Issue(5)：13-27,15.DOI:10.16088/j.issn.1001-6600.2023101702
基于CiteSpace的多源数据融合研究进展
Research Progress on Multi-source Data Fusion Based on CiteSpace
摘要
Abstract
The explosive growth of information provides a realistic foundation for the study of multi-source data fusion,continuously expanding its scope of data incorporation and application prospects.The advancement of artificial intelligence technologies further offers innovative possibilities.To sort out the historical context,current status,and frontier trends of multi-source data fusion research,this paper utilizes CiteSpace software to conduct a visual analysis of relevant studies in the CNKI and Web of Science(WOS)databases,focusing on publication volume by year,institutional co-occurrence,author co-occurrence,keyword co-occurrence,keyword clustering,and prominent words from 1992 to 2022.The results indicate that in recent years,research on this topic,both domestically and internationally,has progressively matured,with unification of concepts and expansion of integrated methods in interdisciplinary fields,entering a period of significant development.Chinese research institutions and author networks are relatively loose,with focused hotspots on data fusion-centric information fusion,multi-source heterogeneous data,etc.,characterized by emphasis on cross-sectoral integration,algorithm optimization,and cross-disciplinary applications.In contrast,foreign research institutions and author networks are more mature and stable,with a broader range of hotspots including multi-source information fusion,lidar data,etc.,characterized by emphasis on heterogeneous integration and deep insights.In the future,related research will evolve alongside the development of artificial intelligence technology,delving into more diverse advanced algorithm designs and specific scenario applications.The research findings can assist researchers in topic selection and frontier identification,contributing to the improvement of research quality and innovative development.关键词
多源数据融合/知识图谱/CiteSpace/可视化分析/研究热点Key words
multi-source data fusion/knowledge graphs/CiteSpace/visual analysis/research hotspot分类
信息技术与安全科学引用本文复制引用
何静,冯元柳,邵靖雯..基于CiteSpace的多源数据融合研究进展[J].广西师范大学学报（自然科学版）,2024,42(5):13-27,15.基金项目
中国博士后科学基金(2020M670267) （2020M670267）
城市空间信息工程北京市重点实验室项目(20220105) （20220105）
空间数据挖掘与信息共享教育部重点实验室项目(2023LSDMIS02) （2023LSDMIS02）
