Erkun Yang
About
Erkun Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience.
According to data from OpenAlex, Erkun Yang has authored 27 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Erkun Yang’s work include Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Erkun Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Erkun Yang collaborates with scholars based in China, United States and Australia. Erkun Yang's co-authors include Cheng Deng, Dacheng Tao, Wei Liu, Tongliang Liu, Xianglong Liu, Xinbo Gao, Pew‐Thian Yap, Mingxia Liu, Dinggang Shen and Jie Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.
In The Last Decade
Co-authorship network of co-authors of Erkun Yang i
Fields of papers citing papers by Erkun Yang
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 Erkun Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Erkun Yang may publish in the future.
Countries citing papers authored by Erkun Yang
Since SpecializationCitations
This map shows the geographic impact of Erkun Yang'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 Erkun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erkun Yang more than expected).
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