Haolei Yuan
About
Haolei Yuan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience.
According to data from OpenAlex, Haolei Yuan has authored 6 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Haolei Yuan’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Haolei Yuan is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Multimodal Machine Learning Applications (2 papers). Haolei Yuan collaborates with scholars based in China and Hong Kong. Haolei Yuan's co-authors include Xingjia Pan, Weiming Dong, Changsheng Xu, Xiaowei Guo, Yuqiang Ren, Kekai Sheng, Chongyang Ma, Feiyue Huang, Fan Tang and Wenping Wang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Applied Soft Computing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
In The Last Decade
Co-authorship network of co-authors of Haolei Yuan i
Fields of papers citing papers by Haolei Yuan
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 Haolei Yuan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Haolei Yuan may publish in the future.
Countries citing papers authored by Haolei Yuan
Since SpecializationCitations
This map shows the geographic impact of Haolei Yuan'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 Haolei Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haolei Yuan more than expected).
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