Heming Du
Impact in
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- Emotion and Mood Recognition
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- Human Pose and Action Recognition
- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
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- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 2
- Co-authors
- Liang Zheng (4 shared papers)Tom Gedeon (2 shared papers)Yuchi Liu (1 shared paper)Wen Li (1 shared paper)Xin Yu (11 shared papers)Yunzhong Hou (2 shared papers)Zi Huang (2 shared papers)Lincheng Li (3 shared papers)
- Journals
- CAAI Transactions on Intelligence Technology (1 paper)Computer Vision and Image Understanding (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)AI and Ethics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
In The Last Decade
Heming Du
15 papers receiving 236 citations
Peers
Comparison fields: 5 of 59
- Experimental and Cognitive Psychology 78
- Computer Vision and Pattern Recognition 121
- Urban Studies 27
- Human-Computer Interaction 24
- Signal Processing 32
Countries citing papers authored by Heming Du
This map shows the geographic impact of Heming Du'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 Heming Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heming Du more than expected).
Fields of papers citing papers by Heming Du
This network shows the impact of papers produced by Heming Du. 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 Heming Du. The network helps show where Heming Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Heming Du, 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 | 2019 | 111 | |
| 2 | 2022 | 57 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 12 | |
| 5 | A Locality Aware City-Scale Multi-Camera Vehicle Tracking System | 2019 | 10 |
| 6 | Vehicle Re-Identification with Location and Time Stamps | 2019 | 10 |
| 7 | 2023 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Heming Du
Heming Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Sociology and Political Science and Signal Processing, having authored 20 papers that have together received 242 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Robotics and Sensor-Based Localization (2 papers), Multimodal Machine Learning Applications (2 papers), Autonomous Vehicle Technology and Safety (2 papers), 3D Surveying and Cultural Heritage (2 papers), Hand Gesture Recognition Systems (2 papers), Misinformation and Its Impacts (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (78 citations), Computer Vision and Pattern Recognition (121 citations), Urban Studies (27 citations), Human-Computer Interaction (24 citations) and Signal Processing (32 citations). Heming Du has collaborated with scholars based in Australia, China and Macao. Frequent co-authors include Liang Zheng, Tom Gedeon, Yuchi Liu, Wen Li, Xin Yu, Yunzhong Hou, Zi Huang, Lincheng Li, Yongpan Liu and Yi Yang. Their work appears in journals such as CAAI Transactions on Intelligence Technology, Computer Vision and Image Understanding, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), AI and Ethics 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.