David Junhao Zhang
Impact in
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- Human Pose and Action Recognition
- Video Analysis and Summarization
- Generative Adversarial Networks and Image Synthesis
- Video Surveillance and Tracking Methods
- Context-Aware Activity Recognition Systems
- Multimodal Machine Learning Applications
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- Anomaly Detection Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 4
- Video Analysis and Summarization 2
- Generative Adversarial Networks and Image Synthesis 2
- Human Pose and Action Recognition 2
- Advanced Neural Network Applications 2
- Advanced Image and Video Retrieval Techniques 1
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Mike Zheng Shou (7 shared papers)Yu Qiao (1 shared paper)Rui Yan (1 shared paper)Lina Yao (1 shared paper)Mingfei Han (1 shared paper)Yali Wang (1 shared paper)Xiaojun Chang (1 shared paper)Jay Zhangjie Wu (3 shared papers)
- Journals
- International Journal of Computer Vision (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)DR-NTU (Nanyang Technological University) (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
David Junhao Zhang
8 papers receiving 120 citations
Peers
Comparison fields: 5 of 27
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 48
- Computer Graphics and Computer-Aided Design 5
- Human-Computer Interaction 5
- Control and Systems Engineering 11
Countries citing papers authored by David Junhao Zhang
This map shows the geographic impact of David Junhao Zhang'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 David Junhao Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Junhao Zhang more than expected).
Fields of papers citing papers by David Junhao Zhang
This network shows the impact of papers produced by David Junhao Zhang. 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 David Junhao Zhang. The network helps show where David Junhao Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside David Junhao Zhang, 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 | 2022 | 47 | |
| 2 | 2024 | 29 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 2 |
About David Junhao Zhang
David Junhao Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Biomedical Engineering, having authored 8 papers that have together received 123 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Analysis and Summarization (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Human Pose and Action Recognition (2 papers), Advanced Neural Network Applications (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Artificial Intelligence (48 citations), Computer Graphics and Computer-Aided Design (5 citations), Human-Computer Interaction (5 citations) and Control and Systems Engineering (11 citations). David Junhao Zhang has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Mike Zheng Shou, Yu Qiao, Rui Yan, Lina Yao, Mingfei Han, Yali Wang, Xiaojun Chang, Jay Zhangjie Wu, Jiawei Liu and Rui Zhao. Their work appears in journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and DR-NTU (Nanyang Technological University).
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.