Joy T. Wu

About

Joy T. Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Joy T. Wu has authored 23 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Joy T. Wu’s work include COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (7 papers). Joy T. Wu is often cited by papers focused on COVID-19 diagnosis using AI (13 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (7 papers). Joy T. Wu collaborates with scholars based in United States, Finland and Australia. Joy T. Wu's co-authors include Leo Anthony Celi, Mehdi Moradi, Eric T. Carlson, Franck Dernoncourt, Yeran Li, Patrick D. Tyler, Alexandros Karargyris, Edward T. Moseley, Jonathan Welt and Sebastian Gehrmann and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Electron Devices and Advances in experimental medicine and biology.

In The Last Decade

Co-authorship network of co-authors of Joy T. Wu i

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Fields of papers citing papers by Joy T. Wu

Since Specialization

EngineeringComputer 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 Joy T. Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Joy T. Wu may publish in the future.

Countries citing papers authored by Joy T. Wu

Since Specialization

Citations

This map shows the geographic impact of Joy T. Wu'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 Joy T. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy T. Wu more than expected).

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