A Bibliometric Comparison of Chinese and International Research in the Field of Generative AI
Authors: 
Changping Hu, Jie YangAuthors Info & Claims
Changping Hu, Jie YangAuthors Info & ClaimsPages 303 - 310
Abstract
Rapid advancements in artificial intelligence incited a global fervor towards further AI research. Being the forefront of modern AI advancements, the current state and boundaries of generative AI research lended itself to further examination, especially the differences regarding topics and quality of research between International and Chinese academia. Through a bibliometric study examining the body of research contained within the China National Knowledge Infrastructure and Web of Science, the results suggested that Chinese academia have four areas of improvement: (1) determining the sample, (2) expanding the limits, (3) examining moral efficacy, and (4) researching foundational knowledge.
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- A Bibliometric Comparison of Chinese and International Research in the Field of Generative AI
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Published In
May 2024
514 pages
ISBN:9798400709838
DOI:10.1145/3677892
Copyright © 2024 ACM.
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Association for Computing Machinery
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Published: 26 August 2024
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DSAI 2024
DSAI 2024: 2024 International Conference on Digital Society and Artificial Intelligence
May 24 - 26, 2024
Qingdao, China
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