Ming Fan

About

Ming Fan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ming Fan has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Artificial Intelligence and 15 papers in Molecular Biology. Recurrent topics in Ming Fan’s work include Radiomics and Machine Learning in Medical Imaging (28 papers), MRI in cancer diagnosis (18 papers) and AI in cancer detection (16 papers). Ming Fan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (28 papers), MRI in cancer diagnosis (18 papers) and AI in cancer detection (16 papers). Ming Fan collaborates with scholars based in China, Saudi Arabia and United States. Ming Fan's co-authors include Lihua Li, Xin Gao and Shiwei Wang and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Ming 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 Ming Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming Fan may publish in the future.

Countries citing papers authored by Ming Fan

Since Specialization

Citations

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

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