Serena Yeung
About
Serena Yeung is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Serena Yeung has authored 34 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Serena Yeung’s work include Human Pose and Action Recognition (7 papers), Artificial Intelligence in Healthcare and Education (5 papers) and COVID-19 diagnosis using AI (5 papers). Serena Yeung is often cited by papers focused on Human Pose and Action Recognition (7 papers), Artificial Intelligence in Healthcare and Education (5 papers) and COVID-19 diagnosis using AI (5 papers). Serena Yeung collaborates with scholars based in United States, Japan and Canada. Serena Yeung's co-authors include Li Fei-Fei, Eric J. Topol, Jeff Dean, Ali Mottaghi, Katherine Chou, Richard Socher, Nikhil Naik, Andre Esteva, Ali Madani and Yun Liu and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nature Communications.
In The Last Decade
Co-authorship network of co-authors of Serena Yeung i
Fields of papers citing papers by Serena Yeung
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 Serena Yeung. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Serena Yeung may publish in the future.
Countries citing papers authored by Serena Yeung
Since SpecializationCitations
This map shows the geographic impact of Serena Yeung'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 Serena Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Yeung more than expected).
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