Hanming Deng
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Visual Attention and Saliency Detection
Papers in
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 1
- Image and Object Detection Techniques 1
- Multimodal Machine Learning Applications 1
- Advanced Image Processing Techniques 1
- Co-authors
- Lewei Lu (3 shared papers)Haibing Guan (3 shared papers)Hua Yang (3 shared papers)Ruhui Ma (3 shared papers)Zhengui Xue (3 shared papers)Wenxiu Sun (1 shared paper)Xiaogang Wang (1 shared paper)Jifeng Dai (1 shared paper)
- Journals
- 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)The HKU Scholars Hub (University of Hong Kong) (2 papers)Research Portal (Queen's University Belfast) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Hanming Deng
6 papers receiving 276 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 226
- Computer Graphics and Computer-Aided Design 10
- Computational Mathematics 1
- Automotive Engineering 20
- Media Technology 14
Countries citing papers authored by Hanming Deng
This map shows the geographic impact of Hanming 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 Hanming Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanming Deng more than expected).
Fields of papers citing papers by Hanming Deng
This network shows the impact of papers produced by Hanming 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 Hanming Deng. The network helps show where Hanming Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanming 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 | 2021 | 97 | |
| 2 | 2019 | 83 | |
| 3 | 2023 | 47 | |
| 4 | 2021 | 43 | |
| 5 | 2023 | 9 | |
| 6 | 2020 | 1 |
About Hanming Deng
Hanming Deng is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Cognitive Neuroscience, Epidemiology and Artificial Intelligence, having authored 6 papers that have together received 280 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (1 paper), Robotics and Sensor-Based Localization (1 paper), Image and Object Detection Techniques (1 paper), Multimodal Machine Learning Applications (1 paper), Acute Ischemic Stroke Management (1 paper), Advanced Image Processing Techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Computer Graphics and Computer-Aided Design (10 citations), Computational Mathematics (1 citation), Automotive Engineering (20 citations) and Media Technology (14 citations). Hanming Deng has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Lewei Lu, Haibing Guan, Hua Yang, Ruhui Ma, Zhengui Xue, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Xiaoyu Shi and Hongsheng Li. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), The HKU Scholars Hub (University of Hong Kong), Research Portal (Queen's University Belfast) 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.