Sen Zha
About
Sen Zha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology.
According to data from OpenAlex, Sen Zha has authored 2 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Neurology. Recurrent topics in Sen Zha’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Brain Tumor Detection and Classification (1 paper). Sen Zha is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Brain Tumor Detection and Classification (1 paper). Sen Zha collaborates with scholars based in China and United States. Sen Zha's co-authors include Chen Chen, Jiangyun Li, Tianxiang Zhang and Meng Ding and has published in prestigious journals such as IEEE Transactions on Image Processing and Physics in Medicine and Biology.
In The Last Decade
Fields of papers citing papers by Sen Zha
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 Zha. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sen Zha may publish in the future.
Countries citing papers authored by Sen Zha
Since SpecializationCitations
This map shows the geographic impact of Sen Zha'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 Zha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Zha more than expected).
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