As the development trend of modern logistics, smart logistics has attracted more and more atten_x0002_tion from all walks of life. However, at present, there is a lack of literature systematically combing the overall research situation in this field. Based on the academic literature titled “Smart Logistics” in CNKI database, this paper uses CiteSpace to make visual analysis from the perspectives of the number of published articles, authors, organizations, keyword co-occurrence, keyword timeline clustering, keyword time zone, keyword emergence, etc, so as to identify the research hotspots and frontiers in this field, and discuss the influence of the selection criteria of node threshold on clustering effect when drawing knowledge map. The research results show that the research on smart logistics in China started in 2010. Researchers and institutions mostly conducted research independently,with fewer collaborations and contacts. Research hotspots mainly focus on the integration of Internet of Things, big data, artificial intelligence and smart logistics, from the initial supply chain and Internet of Things to big data, application and personnel training. The research focuses on three aspects: technology and application, logistics facilities construction and driving force. Ecosphere and “ internet +” have gradually become the research frontiers in recent years. Selecting different threshold criteria of nodes will affect the number of clusters, nodes and connections. Finally, based on cluster analysis, the technologies and equipment in the field of intelligent logistics are classified and summarized.