Kang Li
About
Kang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Kang Li has authored 297 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 60 papers in Artificial Intelligence and 55 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kang Li’s work include Radiomics and Machine Learning in Medical Imaging (29 papers), Medical Image Segmentation Techniques (21 papers) and Advanced Neural Network Applications (19 papers). Kang Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), Medical Image Segmentation Techniques (21 papers) and Advanced Neural Network Applications (19 papers). Kang Li collaborates with scholars based in China, United States and Hong Kong. Kang Li's co-authors include Milan Sonka, Xiaodong Wu, Shaoting Zhang, Yun Fu, Xiaoping Qian, Takeo Kanade, Phil G. Campbell, Eric D. Miller, Guotai Wang and Dimitris Metaxas and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Cancer Research.
In The Last Decade
Co-authorship network of co-authors of Kang Li i
Fields of papers citing papers by Kang Li
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 Kang Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kang Li may publish in the future.
Countries citing papers authored by Kang Li
Since SpecializationCitations
This map shows the geographic impact of Kang Li'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 Kang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Li more than expected).
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