Bing Fan
About
Bing Fan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery.
According to data from OpenAlex, Bing Fan has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Surgery. Recurrent topics in Bing Fan’s work include Radiomics and Machine Learning in Medical Imaging (17 papers), COVID-19 diagnosis using AI (8 papers) and MRI in cancer diagnosis (7 papers). Bing Fan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), COVID-19 diagnosis using AI (8 papers) and MRI in cancer diagnosis (7 papers). Bing Fan collaborates with scholars based in China, Yemen and South Korea. Bing Fan's co-authors include Pinggui Lei, Jiaqi Liu, Wentao Dong, Bingliang Zeng and Peipei Pang and has published in prestigious journals such as Scientific Reports, Sensors and Medicine.
In The Last Decade
Fields of papers citing papers by Bing Fan
Since SpecializationEngineeringComputer 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 Bing Fan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bing Fan may publish in the future.
Countries citing papers authored by Bing Fan
Since SpecializationCitations
This map shows the geographic impact of Bing 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 Bing Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Fan more than expected).
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