Pingkun Yan

149 papers and 5.7k indexed citations i.

About

Pingkun Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Pingkun Yan has authored 149 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 44 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Artificial Intelligence. Recurrent topics in Pingkun Yan’s work include Medical Image Segmentation Techniques (35 papers), Advanced Neural Network Applications (29 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). Pingkun Yan is often cited by papers focused on Medical Image Segmentation Techniques (35 papers), Advanced Neural Network Applications (29 papers) and Radiomics and Machine Learning in Medical Imaging (24 papers). Pingkun Yan collaborates with scholars based in United States, China and Canada. Pingkun Yan's co-authors include Barış Türkbey, Xuelong Li, Bradford J. Wood, Sheng Xu and Peter L. Choyke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Urology.

In The Last Decade

Fields of papers citing papers by Pingkun Yan

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

Countries citing papers authored by Pingkun Yan

Since Specialization

Citations

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

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