Research Hotspot and Trend of Artificial Intelligence Applied in Logistics Field—Visual Analysis Based on CiteSpace
In order to help modern logistics effectively reduce operating costs, improve operational efficiency, and promote the application of artificial intelligence in the logistics field and the sustainable development of logistics, CiteSpace is used to conduct research documents on the application of artificial intelligence in the logistics field, research authors, research institutions, visual analysis of research hotspots and research trends. It is concluded that this field is currently in a rapid growth stage, but there is no relatively mature core author group or research group; the research hotspots are mainly concentrated on big data, machine learning, and logistics optimization algorithms; the research topics are mainly logistics big data analysis, logistics data Mining, logistics optimization algorithms; the research trends are mainly Internet of Things logistics and sustainable logistics. In addition, scholars and institutions should break down professional and institutional barriers between them, fully communicate and cooperate, and attach importance to research hotspots and trends to promote further development in this field.
Authors
- Libo Ding (ORCID: https://orcid.org/0000-0003-4958-576X)
- Guangliang Wang
Institutions
- University of Jinan (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3708036.3708264
- Primary Topic
- Medical Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00