Jun Yu
About
Jun Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology.
According to data from OpenAlex, Jun Yu has authored 234 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Computer Vision and Pattern Recognition, 70 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Jun Yu’s work include Advanced Image and Video Retrieval Techniques (86 papers), Multimodal Machine Learning Applications (57 papers) and Domain Adaptation and Few-Shot Learning (39 papers). Jun Yu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (86 papers), Multimodal Machine Learning Applications (57 papers) and Domain Adaptation and Few-Shot Learning (39 papers). Jun Yu collaborates with scholars based in China, Australia and United States. Jun Yu's co-authors include Dacheng Tao, Yong Rui, Yu Zhou, Meng Wang, Jianping Fan, Chaoqun Hong, Jian Zhang, Qingming Huang, Fei Gao and Min Tan and has published in prestigious journals such as The Journal of Physical Chemistry B, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.
In The Last Decade
Co-authorship network of co-authors of Jun Yu i
Fields of papers citing papers by Jun Yu
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 Jun Yu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jun Yu may publish in the future.
Countries citing papers authored by Jun Yu
Since SpecializationCitations
This map shows the geographic impact of Jun Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
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