为探寻国内外智慧物流领域的研究热点及发展趋势，文中基于CiteSpace软件，以CNKI数据库中智慧物流领域的298 篇相关文献及Web of Science数据库核心合集中的 771 篇文献为数据来源，分别构建了文献研究机构图谱、发文国家图谱、关键词聚类图谱、关键词时间线图、突变词权重图谱等进行可视化分析，清晰直观地展示了国内外智慧物流领域的发展成果及演进趋势。研究发现，近十年国内外智慧物流研究可分为三个阶段，研究热点主要集中于物联网、大数据、机器学习等领域。
Research Hotspots and Evolutionary Trends of Smart Logistics——Visual Analysis Based on CiteSpace
In order to explore the research hotspots and development trends in the field of smart logistics at home and abroad,this paper,based on CiteSpace software,takes 298 literatures in CNKI database and 771 literatures in the core collection of Web of Science database in the field of smart logistics as data sources.The research institution atlas of literature,the country atlas of published papers,the keyword clustering atlas,the keyword time map,and the mutation word weight atlas were constructed respectively for visual analysis,which clearly and intuitively demonstrated the development achievements and evolutionary trend of the smart logistics field at home and abroad.The study found that the research on smart logistics at home and abroad in the past decade can be divided into three stages,and the research hotspots are mainly focused on the Internet of Things,big data,machine learning and other fields.
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