Sibei Yang
About
Sibei Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Sibei Yang has authored 23 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sibei Yang’s work include Multimodal Machine Learning Applications (14 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Sibei Yang is often cited by papers focused on Multimodal Machine Learning Applications (14 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Sibei Yang collaborates with scholars based in China, Hong Kong and United States. Sibei Yang's co-authors include Yizhou Yu, Guanbin Li, Hong-Yu Zhou, Meng Xia, Xiaoguang Han, Chaoqi Chen, Haofeng Li, Xiang He, Huiyou Chang and Cheng Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and IEEE Transactions on Neural Networks and Learning Systems.
In The Last Decade
Co-authorship network of co-authors of Sibei Yang i
Fields of papers citing papers by Sibei 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 Sibei Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sibei Yang may publish in the future.
Countries citing papers authored by Sibei Yang
Since SpecializationCitations
This map shows the geographic impact of Sibei 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 Sibei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sibei Yang more than expected).
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