Chaorui Deng
Impact in
-
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Media Technology top 0.5%
- Remote-Sensing Image Classification
Papers in
-
- Multimodal Machine Learning Applications 6
- Advanced Image and Video Retrieval Techniques 5
- Video Analysis and Summarization 3
- Human Pose and Action Recognition 2
- Advanced Neural Network Applications 2
- Handwritten Text Recognition Techniques 1
-
- Domain Adaptation and Few-Shot Learning 4
- Neural Networks and Applications 1
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Transactions on Multimedia (1 paper)Adelaide Research & Scholarship (AR&S) (University of Adelaide) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Chaorui Deng
10 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 2.1k
- Media Technology 461
- Artificial Intelligence 842
- Human-Computer Interaction 134
- Industrial and Manufacturing Engineering 124
Countries citing papers authored by Chaorui Deng
This map shows the geographic impact of Chaorui Deng'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 Chaorui Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaorui Deng more than expected).
Fields of papers citing papers by Chaorui Deng
This network shows the impact of papers produced by Chaorui Deng. 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 Chaorui Deng. The network helps show where Chaorui Deng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chaorui Deng, 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 | 2023 | 5 | |
| 2 | 2023 | 18 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 41 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 62 | |
| 7 | 2020 | 10 | |
| 8 | Deep High-Resolution Representation Learning for Visual Recognition Hit paper breakdown → | 2020 | 2826 |
| 9 | 2018 | 130 | |
| 10 | 2018 | 12 |
About Chaorui Deng
Chaorui Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 10 papers that have together received 3.1k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Video Analysis and Summarization (3 papers), Human Pose and Action Recognition (2 papers), Advanced Neural Network Applications (2 papers), Handwritten Text Recognition Techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Media Technology (461 citations), Artificial Intelligence (842 citations), Human-Computer Interaction (134 citations) and Industrial and Manufacturing Engineering (124 citations). Chaorui Deng has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Mingkui Tan, Wenyu Liu, Ke Sun, Borui Jiang, Tianheng Cheng, Xinggang Wang, Yang Zhao, Jingdong Wang, Yadong Mu and Dong Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, Adelaide Research & Scholarship (AR&S) (University of Adelaide) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.