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Artificial Intelligence in Energy Economics Research: A Bibliometric Review

Authors: Zhilun Jiao,Chenrui Zhang,Wenwen Li
Publisher: MDPI AG
Publish date: 2025-1-20
ISSN: 1996-1073 DOI: 10.3390/en18020434
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The paper exhibits methodological weaknesses in its bibliometric analysis, with inadequate validation of citation metrics and clustering results. Several claims about AI applications in energy economics lack empirical support, reducing the reliability of conclusions. I recommend that the authors carefully address these issues to strengthen the study’s methodological rigor and improve the clarity and reliability of its conclusions.

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