Dehui Kong
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Computer Graphics and Visualization Techniques 13
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- Human Pose and Action Recognition 30
- Advanced Vision and Imaging 20
- Video Surveillance and Tracking Methods 9
- Multimodal Machine Learning Applications 9
Dehui Kong
82 papers receiving 696 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 586
- Human-Computer Interaction 108
- Artificial Intelligence 269
- Computer Graphics and Computer-Aided Design 28
- Signal Processing 59
Countries citing papers authored by Dehui Kong
This map shows the geographic impact of Dehui Kong'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 Dehui Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehui Kong more than expected).
Fields of papers citing papers by Dehui Kong
This network shows the impact of papers produced by Dehui Kong. 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 Dehui Kong. The network helps show where Dehui Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehui Kong, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2016 | 1 | |
| 18 | Mixed simplification algorithm of point clouds | 2007 | 1 |
| 19 | Edge Collapse Simplification Based on Weighted Quadric Error Metrics | 2007 | 5 |
| 20 | Triangle Mesh Simplification Algorithm Based on Edge Collapse | 2007 | 2 |
About Dehui Kong
Dehui Kong is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Human-Computer Interaction, Computational Mechanics and Artificial Intelligence, having authored 91 papers that have together received 732 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (30 papers), Advanced Vision and Imaging (20 papers), Hand Gesture Recognition Systems (15 papers), 3D Shape Modeling and Analysis (14 papers), Computer Graphics and Visualization Techniques (13 papers), Human Motion and Animation (10 papers), Video Surveillance and Tracking Methods (9 papers) and Multimodal Machine Learning Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (586 citations), Human-Computer Interaction (108 citations), Artificial Intelligence (269 citations), Computer Graphics and Computer-Aided Design (28 citations) and Signal Processing (59 citations). Dehui Kong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tao Hai, Douglas A. Gray, Baocai Yin, Shaofan Wang, Lichun Wang, Jinghua Li, Baocai Yin, Xiaonan Luo, Baocai Yin and Ru Wang. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Multimedia, Journal of Visual Communication and Image Representation, Neurocomputing and IEEE Transactions on Big Data.
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.