Pei Yang

52 papers and 1.1k indexed citations i.

About

Pei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Pei Yang has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 13 papers in Oncology. Recurrent topics in Pei Yang’s work include Radiomics and Machine Learning in Medical Imaging (16 papers), Head and Neck Cancer Studies (10 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Pei Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Head and Neck Cancer Studies (10 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Pei Yang collaborates with scholars based in China, United States and Italy. Pei Yang's co-authors include Robert A. Newman, Alison D. Pawlus, Keith I. Block, Ting Xu, Abdallah Mohamed, Hesham Elhalawani, Clifton D. Fuller, Zhongxing Liao, Qianjin Liao and Stefania Volpe and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

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

Fields of papers citing papers by Pei 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 Pei Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pei Yang may publish in the future.

Countries citing papers authored by Pei Yang

Since Specialization
Citations

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

Rankless by CCL
2025