Fan Jin

About

Fan Jin is a scholar working on Artificial Intelligence, Polymers and Plastics and Molecular Biology. According to data from OpenAlex, Fan Jin has authored 43 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Polymers and Plastics and 4 papers in Molecular Biology. Recurrent topics in Fan Jin’s work include Self-Healing Polymer Materials (3 papers), Radioactive contamination and transfer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Fan Jin is often cited by papers focused on Self-Healing Polymer Materials (3 papers), Radioactive contamination and transfer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Fan Jin collaborates with scholars based in China, United States and Australia. Fan Jin's co-authors include Yu‐Tang Gao, Bu‐Tian Ji, Wei Zheng, Gong Yang and Xiao‐Ou Shu and has published in prestigious journals such as Nature Communications, Cancer and Journal of Nutrition.

In The Last Decade

Fields of papers citing papers by Fan Jin

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 Fan Jin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fan Jin may publish in the future.

Countries citing papers authored by Fan Jin

Since Specialization

Citations

This map shows the geographic impact of Fan Jin'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 Fan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Jin more than expected).

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