Errui Ding
-
- Advanced Neural Network Applications 32
- Advanced Vision and Imaging 20
- Generative Adversarial Networks and Image Synthesis 19
- Video Surveillance and Tracking Methods 19
- Human Pose and Action Recognition 17
- Advanced Image and Video Retrieval Techniques 16
- Face recognition and analysis 12
- Media Technology top 0.5%
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 13
- Human-Computer Interaction top 2%
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
In The Last Decade
Errui Ding
105 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 4.3k
- Media Technology 682
- Computer Graphics and Computer-Aided Design 225
- Artificial Intelligence 1.2k
- Human-Computer Interaction 145
Countries citing papers authored by Errui Ding
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).
Fields of papers citing papers by Errui Ding
This network shows the impact of papers produced by Errui Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Errui Ding. The network helps show where Errui Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Errui Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 16 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 20 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 28 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 51 | |
| 17 | 2019 | 213 | |
| 18 | Multi-camera vehicle tracking and re-identification based on visual and spatial-temporal features | 2019 | 23 |
| 19 | 2019 | 131 | |
| 20 | Compact Generalized Non-local Network | 2018 | 33 |
About Errui Ding
Errui Ding is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Health Informatics, Media Technology and Artificial Intelligence, having authored 114 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (32 papers), Advanced Vision and Imaging (20 papers), Generative Adversarial Networks and Image Synthesis (19 papers), Video Surveillance and Tracking Methods (19 papers), Human Pose and Action Recognition (17 papers), Advanced Image and Video Retrieval Techniques (16 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Face recognition and analysis (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Media Technology (682 citations), Computer Graphics and Computer-Aided Design (225 citations), Artificial Intelligence (1.2k citations) and Human-Computer Interaction (145 citations). Errui Ding has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Junyu Han, Shilei Wen, Mengyang Feng, Huchuan Lu, Tianwei Lin, Jingtuo Liu, Jingdong Wang, Xiao Liu, Xiao Tan and Dongliang He. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters and IEEE Transactions on Circuits and Systems for Video Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.