Jin Fan

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 483 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 Shigong Wang, Jia Wu, Zhongliang Yang, Xiaoling Zhang and Guojun Dai and has published in prestigious journals such as The Science of The Total Environment, Atmospheric Environment and Catalysis Today.

In The Last Decade

Fields of papers citing papers by Jin Fan

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Jin Fan. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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