Shaokai Ye
About
Shaokai Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience.
According to data from OpenAlex, Shaokai Ye has authored 5 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Shaokai Ye’s work include Advanced Neural Network Applications (2 papers), Human Pose and Action Recognition (2 papers) and Video Surveillance and Tracking Methods (2 papers). Shaokai Ye is often cited by papers focused on Advanced Neural Network Applications (2 papers), Human Pose and Action Recognition (2 papers) and Video Surveillance and Tracking Methods (2 papers). Shaokai Ye collaborates with scholars based in United States, Switzerland and China. Shaokai Ye's co-authors include Alexander Mathis, Mackenzie Weygandt Mathis, Tanmay Nath, Mohammed Mostafizur Rahman, Jessy Lauer, Guoping Feng, Venkatesh N. Murthy, Valentina Di Santo, William Menegas and Catherine Dulac and has published in prestigious journals such as Nature Communications, Nature Methods and IEEE Transactions on Neural Networks and Learning Systems.
In The Last Decade
Co-authorship network of co-authors of Shaokai Ye i
Fields of papers citing papers by Shaokai Ye
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 Shaokai Ye. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Shaokai Ye may publish in the future.
Countries citing papers authored by Shaokai Ye
Since SpecializationCitations
This map shows the geographic impact of Shaokai Ye'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 Shaokai Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaokai Ye more than expected).
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