Fan Song

About

Fan Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Fan Song has authored 47 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Fan Song’s work include Optical Imaging and Spectroscopy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). Fan Song is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Photoacoustic and Ultrasonic Imaging (10 papers). Fan Song collaborates with scholars based in China, United States and United Kingdom. Fan Song's co-authors include Peng Zhang, Guanglei Zhang, Dazhi Yin, Xu Yan, Yangyang Sun, Limin Sun, Mingxia Fan, Weiwei Men, Chenbin Ma and Dongrong Xu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Fan Song i

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Fields of papers citing papers by Fan Song

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

Countries citing papers authored by Fan Song

Since Specialization

Citations

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

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