科技情报研究2025，Vol.7Issue(4)：46-57,12.DOI:10.19809/j.cnki.kjqbyj.2025.04.005
2015-2024年国外AI for Science研究现状及主题趋势分析
Analysis of the Status and Thematic Trends of AI for Science Research Abroad from 2015 to 2024
摘要
Abstract
[Purpose/significance]This paper analyzes the relevant literature in the field of AI for Science(AI4S)in the WoS core database from 2015 to 2024,and sorts out the research status and development trends in this field,aiming to provide forward-looking insights for the application of AI technology in scientific research.[Method/process]This pa-per combines bibliometric analysis with the BERTopic model to analyze the publication trends,publishing countries,core authors,and topic identification and development trends in the field of AI4S.[Result/conclusion]Through biblio-metric analysis,this paper reveals the exponential growth trend of AI4S-related literature,and finds that China ranks first in the number of publications but the number of citations is slightly lower than that of the United States.The study also identifies the core authors and highly cited papers of foreign AI4S research.Through the BERTopic model,22 topics were identified and summarized into six major research directions.The key application fields include artifi-cial intelligence and educational technology research,medical health and artificial intelligence diagnosis,precision ag-riculture and climate change,materials chemistry and deep learning,and high-performance lithium battery technolo-gy.Some topics such as AI and precision agriculture,AI and mental health,and AI and lithium battery technology have been research hotspots in recent years.关键词
AI for Science(AI4S)/新科研生态/人工智能/BERTopic/主题识别Key words
AI for Science(AI4S)/new research ecosystem/artificial intelligence/BERTopic/topic identification分类
社会科学引用本文复制引用
王方媛,徐慧婷,薛菁华..2015-2024年国外AI for Science研究现状及主题趋势分析[J].科技情报研究,2025,7(4):46-57,12.基金项目
2024年度上海市重点智库课题"人工智能驱动科研范式变革研究及对上海布局AI for Science的启示" （）
