Artificial Intelligence in Metal–Organic Frameworks from 2013 to 2024: A Bibliometric Analysis

IF 2.1 4区材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY

JOM Pub Date : 2025-01-08 DOI:10.1007/s11837-024-07065-5

Jian Cao, Ling Zhou, Fan Gan, Zhipeng You

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引用次数: 0

Abstract

The purpose of this work is to analyze the development direction and prospects in the field of artificial intelligence (AI) in metal–organic frameworks (MOFs) and to provide reference information for related research and industry personnel. The scientific papers on AI in MOFs published in Web of Science database from 2013 to mid-2024 were collected. Bibliometric methods and knowledge mapping visualization software were used to analyze the papers. Both quantitative statistics and qualitative comparative analysis of global scientific papers were done in terms of annual paper trends, papers by major countries, authors, institutions, journals and research topics, respectively. The results showed that the number of published papers has increased in recent years. The top three productive countries are China, the USA and Germany, respectively. The top three productive institutions are Guangzhou University, Northwestern University and Chinese Academy of Sciences, respectively. Reference co-citation analysis classifies references into four clusters, and keyword co-occurrence analysis divides keywords into six clusters. Bibliometric and network analyses were utilized to examine the distribution of research outcomes, enabling scholars to discern the prevailing trends and focal points within the domain of AI-MOFs.

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来源期刊

JOM 工程技术-材料科学：综合

CiteScore

4.50

自引率

3.80%

发文量

540

审稿时长

2.8 months

期刊介绍： JOM is a technical journal devoted to exploring the many aspects of materials science and engineering. JOM reports scholarly work that explores the state-of-the-art processing, fabrication, design, and application of metals, ceramics, plastics, composites, and other materials. In pursuing this goal, JOM strives to balance the interests of the laboratory and the marketplace by reporting academic, industrial, and government-sponsored work from around the world.