Fei Ren

24 papers and 672 indexed citations i.

About

Fei Ren is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fei Ren has authored 24 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fei Ren’s work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (10 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Fei Ren is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (10 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). Fei Ren collaborates with scholars based in China, United States and Saudi Arabia. Fei Ren's co-authors include Fa Zhang, Rui Yan, Xiaosong Rao, Chun-Hou Zheng, Zihao Wang, Lihua Wang, Yudong Liu, Tong Zhang, Jin He and Huakun Zhou and has published in prestigious journals such as Sensors, Biogeochemistry and Methods.

In The Last Decade

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

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

Countries citing papers authored by Fei Ren

Since Specialization
Citations

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

Rankless by CCL
2025