Analysis of the Status and Thematic Trends of AI for Science Research Abroad from 2015 to 2024

Authors

• Fangyuan WANG, Shanghai Library（Shanghai Institute of Scientific and Technical Information）, Shanghai 200031
• Huiting XU, Shanghai Library（Shanghai Institute of Scientific and Technical Information）, Shanghai 200031
• Jinghua XUE, Shanghai Library（Shanghai Institute of Scientific and Technical Information）, Shanghai 200031

Keywords

AI for Science (AI4S), new research ecosystem, artificial intelligence, BERTopic, topic identification

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 paper 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 bibliometric 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 artificial intelligence and educational technology research, medical health and artificial intelligence diagnosis, precision agriculture and climate change, materials chemistry and deep learning, and high-performance lithium battery technology. 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.

First Page

46

Last Page

57

Submission Date

February 2025

Revision Date

March 2025

Acceptance Date

March 2025

Publication Date

October 2025

Digital Object Identifier (DOI)

ꎺ 10.19809/j.cnki.kjqbyj.2025.04.005

Recommended Citation

WANG, Fangyuan; XU, Huiting; and XUE, Jinghua (2025) "Analysis of the Status and Thematic Trends of AI for Science Research Abroad from 2015 to 2024," Journal of Scientific Information Research: Vol. 7: Iss. 4, Article 5.
DOI: ꎺ 10.19809/j.cnki.kjqbyj.2025.04.005
Available at: https://eng.kjqbyj.com/journal/vol7/iss4/5

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