Dagan Feng

513 papers and 11.5k indexed citations i.

About

Dagan Feng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Dagan Feng has authored 513 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 275 papers in Computer Vision and Pattern Recognition, 211 papers in Radiology, Nuclear Medicine and Imaging and 94 papers in Artificial Intelligence. Recurrent topics in Dagan Feng’s work include Medical Imaging Techniques and Applications (141 papers), Medical Image Segmentation Techniques (113 papers) and Radiomics and Machine Learning in Medical Imaging (90 papers). Dagan Feng is often cited by papers focused on Medical Imaging Techniques and Applications (141 papers), Medical Image Segmentation Techniques (113 papers) and Radiomics and Machine Learning in Medical Imaging (90 papers). Dagan Feng collaborates with scholars based in Australia, China and Hong Kong. Dagan Feng's co-authors include Michael Fulham, Weidong Cai, Jinman Kim, Zhiyong Wang, Ashnil Kumar, Lei Bi, Yang Song, Ping Li, Yong Xia and Zheru Chi and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Dagan Feng i

Fields of papers citing papers by Dagan Feng

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

Countries citing papers authored by Dagan Feng

Since Specialization
Citations

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

Rankless by CCL
2025