Su Ruan

134 papers and 3.9k indexed citations i.

About

Su Ruan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Su Ruan has authored 134 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Computer Vision and Pattern Recognition, 66 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Artificial Intelligence. Recurrent topics in Su Ruan’s work include Medical Image Segmentation Techniques (60 papers), Radiomics and Machine Learning in Medical Imaging (47 papers) and Medical Imaging Techniques and Applications (39 papers). Su Ruan is often cited by papers focused on Medical Image Segmentation Techniques (60 papers), Radiomics and Machine Learning in Medical Imaging (47 papers) and Medical Imaging Techniques and Applications (39 papers). Su Ruan collaborates with scholars based in France, China and United States. Su Ruan's co-authors include Pierre Véra, Isabelle Gardin, Caroline Petitjean, Tongxue Zhou and Stéphane Canu and has published in prestigious journals such as PLoS ONE, NeuroImage and Polymer.

In The Last Decade

Fields of papers citing papers by Su Ruan

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

Countries citing papers authored by Su Ruan

Since Specialization
Citations

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

Rankless by CCL
2025