Kuang Tang
About
Kuang Tang is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Molecular Biology.
According to data from OpenAlex, Kuang Tang has authored 8 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Kuang Tang’s work include Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and AI in cancer detection (2 papers). Kuang Tang is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and AI in cancer detection (2 papers). Kuang Tang collaborates with scholars based in United States. Kuang Tang's co-authors include Dennis A. Johnston, Patricia Troncoso, Michael E. Chen, Jing He and R. Joseph Babaian and has published in prestigious journals such as PLoS ONE, Cancer and The Journal of Urology.
In The Last Decade
Fields of papers citing papers by Kuang Tang
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 Kuang Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kuang Tang may publish in the future.
Countries citing papers authored by Kuang Tang
Since SpecializationCitations
This map shows the geographic impact of Kuang Tang'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 Kuang Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuang Tang more than expected).
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