Jun Yan

About

Jun Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jun Yan has authored 64 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Jun Yan’s work include Advanced Neural Network Applications (8 papers), Biomedical Text Mining and Ontologies (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Jun Yan is often cited by papers focused on Advanced Neural Network Applications (8 papers), Biomedical Text Mining and Ontologies (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Jun Yan collaborates with scholars based in China, United States and Canada. Jun Yan's co-authors include Zhongwei Cui, Yongjun Zhang, Wanrong Wu, Hyoung J. Cho and Buzhou Tang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Optics Letters.

In The Last Decade

Fields of papers citing papers by Jun 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 Jun Yan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Yan may publish in the future.

Countries citing papers authored by Jun Yan

Since Specialization

Citations

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

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