Jin Fan

52 papers and 529 indexed citations i.

About

Jin Fan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jin Fan has authored 52 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jin Fan’s work include Air Quality and Health Impacts (9 papers), Time Series Analysis and Forecasting (8 papers) and Atmospheric chemistry and aerosols (6 papers). Jin Fan is often cited by papers focused on Air Quality and Health Impacts (9 papers), Time Series Analysis and Forecasting (8 papers) and Atmospheric chemistry and aerosols (6 papers). Jin Fan collaborates with scholars based in China, Australia and United States. Jin Fan's co-authors include Jia Wu, Shigong Wang, Hao Tian, Jiang Jian, Guojun Dai, Qing Wu, Zhongqin Li, Yujie Hu, Gang Xu and Tom H. Luan and has published in prestigious journals such as The Science of The Total Environment, Atmospheric Environment and Catalysis Today.

In The Last Decade

Co-authorship network of co-authors of Jin Fan i

Fields of papers citing papers by Jin Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Fan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Fan. The network helps show where Jin Fan may publish in the future.

Countries citing papers authored by Jin Fan

Since Specialization
Citations

This map shows the geographic impact of Jin Fan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Fan more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025