Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis.

ABSTRACT: Since the release of ChatGPT and other large language models (LLMs), there has been a significant increase in academic publications exploring their capabilities and implications across various fields, such as medicine, education, and technology. This study aims to identify the most influential academic works on LLMs published in the past year, categorize their research types and thematic focuses, within different professional fields. The study also evaluates the ability of artificial intelligence (AI) tools, such as ChatGPT, to accurately classify academic research. We conducted a bibliometric analysis using Clarivate's Web of Science (WOS) to extract the top 100 most cited papers on LLMs. Papers were manually categorized by field, journal, author, and research type. ChatGPT-4 was used to

SUBMITTER: Bernstein E 

PROVIDER: S-EPMC12384689 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature