Dahu Shi
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 4
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 4
- Advanced Neural Network Applications 2
- Multimodal Machine Learning Applications 2
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- Domain Adaptation and Few-Shot Learning 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Xing Wei (6 shared papers)Yihong Gong (3 shared papers)Yifan Bai (1 shared paper)Wenming Tan (5 shared papers)Shiliang Pu (3 shared papers)Xiaodong Yu (1 shared paper)Shizhou Zhang (1 shared paper)De Cheng (1 shared paper)
- Journals
- Remote Sensing (1 paper)Neurocomputing (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)SSRN Electronic Journal (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- China
In The Last Decade
Dahu Shi
10 papers receiving 325 citations
Dahu Shi's Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 269
- Human-Computer Interaction 39
- Artificial Intelligence 89
- Aerospace Engineering 64
- Media Technology 20
Countries citing papers authored by Dahu Shi
This map shows the geographic impact of Dahu Shi'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 Dahu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahu Shi more than expected).
Fields of papers citing papers by Dahu Shi
This network shows the impact of papers produced by Dahu Shi. 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 Dahu Shi. The network helps show where Dahu Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dahu Shi, 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 | Autoregressive Visual Tracking Hit paper breakdown → | 2023 | 160 |
| 2 | 2022 | 93 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 14 | |
| 5 | 2017 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2026 | 0 |
About Dahu Shi
Dahu Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Computational Mechanics, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers), Multimodal Machine Learning Applications (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (269 citations), Human-Computer Interaction (39 citations), Artificial Intelligence (89 citations), Aerospace Engineering (64 citations) and Media Technology (20 citations). Dahu Shi has collaborated with scholars based in China. Frequent co-authors include Xing Wei, Yihong Gong, Yifan Bai, Wenming Tan, Shiliang Pu, Xiaodong Yu, Shizhou Zhang, De Cheng, Xiaodong Yu and Yong Xia. Their work appears in journals such as Remote Sensing, Neurocomputing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), SSRN Electronic Journal 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.