This study is to conduct a comprehensive bibliometric analysis of the evolving research
landscape in the domain of artificial intelligence (AI) in the context of climate change,
covering the period from 2017 to 2023. The analysis aimed to identify key trends, prolific
contributors, and influential publications in the field. Our findings indicate a remarkable
growth in research output, with the number of documents increasing from 60 in 2017 to 422
by 2023, reflecting a burgeoning interest in AI applications for climate change. In terms of
geographic contribution, the United States and China emerged as leaders, with the United
States producing the most documents and receiving the highest total citations. A keyword
network analysis revealed five distinct clusters, highlighting focal areas such as 'Decision
Support System', 'Machine Learning', and 'Climate Change'. Notably, journals like 'Science of
the Total Environment' and 'Sustainability (Switzerland)' were identified as significant for their
high citation counts, with the former achieving 807 citations from 25 documents. In contrast,
journals such as 'Proceedings of SPIE' displayed a more niche presence with modest citation
figures. These results illuminate the dynamic and expanding nature of AI research in
addressing climate change, emphasizing both the growth and the diversification of the field.