Ge Ren

36 papers and 391 indexed citations i.

About

Ge Ren is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Ge Ren has authored 36 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Radiation. Recurrent topics in Ge Ren’s work include Medical Imaging Techniques and Applications (15 papers), Advanced Radiotherapy Techniques (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Ge Ren is often cited by papers focused on Medical Imaging Techniques and Applications (15 papers), Advanced Radiotherapy Techniques (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Ge Ren collaborates with scholars based in Hong Kong, China and United States. Ge Ren's co-authors include Xiaoyuan Wang, Ye Li, Zhou Wang, Jing Cai, Jianli Wang, Haonan Xiao, Xiaoqing Hu, Xinzhi Teng, Saikit Lam and Chenyang Liu and has published in prestigious journals such as Journal of Bacteriology, International Journal of Radiation Oncology*Biology*Physics and Frontiers in Microbiology.

In The Last Decade

Co-authorship network of co-authors of Ge Ren i

Fields of papers citing papers by Ge Ren

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

Countries citing papers authored by Ge Ren

Since Specialization
Citations

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

Rankless by CCL
2025