Su-In Lee
About
Su-In Lee is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability.
According to data from OpenAlex, Su-In Lee has authored 3 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Statistics and Probability. Recurrent topics in Su-In Lee’s work include Gene expression and cancer classification (2 papers), Statistical Methods and Inference (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Su-In Lee is often cited by papers focused on Gene expression and cancer classification (2 papers), Statistical Methods and Inference (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Su-In Lee collaborates with scholars based in United States. Su-In Lee's co-authors include Daphne Koller, David Vickrey, Daniela Witten, Maryam Fazel and Serafim Batzoglou and has published in prestigious journals such as and .
In The Last Decade
Fields of papers citing papers by Su-In Lee
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 Su-In Lee. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Su-In Lee may publish in the future.
Countries citing papers authored by Su-In Lee
Since SpecializationCitations
This map shows the geographic impact of Su-In Lee'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 Su-In Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-In Lee more than expected).
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