Li Fang

About

Li Fang is a scholar working on Molecular Biology, Nephrology and Artificial Intelligence. According to data from OpenAlex, Li Fang has authored 73 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Nephrology and 12 papers in Artificial Intelligence. Recurrent topics in Li Fang’s work include Renal Diseases and Glomerulopathies (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (5 papers). Li Fang is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (5 papers). Li Fang collaborates with scholars based in China, Macao and Hong Kong. Li Fang's co-authors include Junwei Yang, Chunsun Dai, Lei Jiang and Weichun He and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Li Fang

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

Countries citing papers authored by Li Fang

Since Specialization

Citations

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

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