Errui Ding

96 papers and 3.5k indexed citations i.

About

Errui Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Errui Ding has authored 96 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Errui Ding’s work include Advanced Neural Network Applications (30 papers), Video Surveillance and Tracking Methods (17 papers) and Generative Adversarial Networks and Image Synthesis (16 papers). Errui Ding is often cited by papers focused on Advanced Neural Network Applications (30 papers), Video Surveillance and Tracking Methods (17 papers) and Generative Adversarial Networks and Image Synthesis (16 papers). Errui Ding collaborates with scholars based in China, Australia and United States. Errui Ding's co-authors include Junyu Han, Xiao Tan, Jingtuo Liu, Jingdong Wang and Shilei Wen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Fields of papers citing papers by Errui Ding

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

Countries citing papers authored by Errui Ding

Since Specialization
Citations

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

Rankless by CCL
2025