Clifford Yang

17 papers and 459 indexed citations i.

About

Clifford Yang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Clifford Yang has authored 17 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Clifford Yang’s work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and COVID-19 diagnosis using AI (4 papers). Clifford Yang is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and COVID-19 diagnosis using AI (4 papers). Clifford Yang collaborates with scholars based in United States, Brazil and Germany. Clifford Yang's co-authors include Sheida Nabavi, Reda A. Ammar, Tianyu Wang, Jun Bai, Susan Tannenbaum, Erick Avelar, Robert A. Arciero, Robin R. Leger, Mark P. Cote and Clifford G. Rios and has published in prestigious journals such as Radiology, The American Journal of Sports Medicine and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Clifford Yang i

Fields of papers citing papers by Clifford Yang

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

Countries citing papers authored by Clifford Yang

Since Specialization
Citations

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

Rankless by CCL
2025