Kun Han

About

Kun Han is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Kun Han has authored 16 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Kun Han’s work include Medical Image Segmentation Techniques (4 papers), Topic Modeling (2 papers) and Medical Imaging Techniques and Applications (2 papers). Kun Han is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Topic Modeling (2 papers) and Medical Imaging Techniques and Applications (2 papers). Kun Han collaborates with scholars based in China, United States and Israel. Kun Han's co-authors include Xiaohui Xie, Shanlin Sun, Chenyu You, Dacheng Zhang and Xuming Chen and has published in prestigious journals such as Sensors, IEEE Access and Radiotherapy and Oncology.

In The Last Decade

Fields of papers citing papers by Kun Han

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

Countries citing papers authored by Kun Han

Since Specialization

Citations

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

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