Siyi Tang

About

Siyi Tang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Siyi Tang has authored 18 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cognitive Neuroscience. Recurrent topics in Siyi Tang’s work include Machine Learning in Healthcare (6 papers), COVID-19 diagnosis using AI (4 papers) and Functional Brain Connectivity Studies (2 papers). Siyi Tang is often cited by papers focused on Machine Learning in Healthcare (6 papers), COVID-19 diagnosis using AI (4 papers) and Functional Brain Connectivity Studies (2 papers). Siyi Tang collaborates with scholars based in United States, United Kingdom and Singapore. Siyi Tang's co-authors include Daniel L. Rubin, Jared Dunnmon, Amara Tariq, Imon Banerjee and Bhavik N. Patel and has published in prestigious journals such as Biological Psychiatry, Scientific Reports and IEEE Internet of Things Journal.

In The Last Decade

Fields of papers citing papers by Siyi Tang

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

Countries citing papers authored by Siyi Tang

Since Specialization

Citations

This map shows the geographic impact of Siyi 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 Siyi Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyi Tang more than expected).

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