Sen Yang
About
Sen Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology.
According to data from OpenAlex, Sen Yang has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Sen Yang’s work include Human Pose and Action Recognition (9 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (7 papers). Sen Yang is often cited by papers focused on Human Pose and Action Recognition (9 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (7 papers). Sen Yang collaborates with scholars based in China, United States and United Kingdom. Sen Yang's co-authors include Dawei Feng, Kele Xu, Hao Yu, Jianchao Tan and Wankou Yang and has published in prestigious journals such as Bioinformatics, Frontiers in Plant Science and Sensors.
In The Last Decade
Fields of papers citing papers by Sen 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 Sen Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sen Yang may publish in the future.
Countries citing papers authored by Sen Yang
Since SpecializationCitations
This map shows the geographic impact of Sen 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 Sen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Yang more than expected).
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