Junhao Dong
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
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- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 4
- Generative Adversarial Networks and Image Synthesis 2
- Image Enhancement Techniques 2
- Digital Media Forensic Detection 2
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- Adversarial Robustness in Machine Learning 10
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Xiaohua Xie (11 shared papers)Jianhuang Lai (10 shared papers)Yuan Wang (5 shared papers)Yunhao Du (1 shared paper)Yanyun Zhao (1 shared paper)Junfeng Wan (1 shared paper)Hao Chen (1 shared paper)Mingzhe Zheng (1 shared paper)
In The Last Decade
Junhao Dong
20 papers receiving 284 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 154
- Artificial Intelligence 113
- Aerospace Engineering 38
- Safety, Risk, Reliability and Quality 11
- Signal Processing 13
Countries citing papers authored by Junhao Dong
This map shows the geographic impact of Junhao Dong'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 Junhao Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhao Dong more than expected).
Fields of papers citing papers by Junhao Dong
This network shows the impact of papers produced by Junhao Dong. 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 Junhao Dong. The network helps show where Junhao Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhao Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 116 | |
| 2 | 2023 | 54 | |
| 3 | 2022 | 26 | |
| 4 | 2024 | 20 | |
| 5 | 2021 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 8 | |
| 9 | 2022 | 3 | |
| 10 | 2025 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2026 | 1 | |
| 20 | 2025 | 1 |
About Junhao Dong
Junhao Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 24 papers that have together received 290 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (10 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Image Enhancement Techniques (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Artificial Intelligence (113 citations), Aerospace Engineering (38 citations), Safety, Risk, Reliability and Quality (11 citations) and Signal Processing (13 citations). Junhao Dong has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Xiaohua Xie, Jianhuang Lai, Yuan Wang, Yunhao Du, Yanyun Zhao, Junfeng Wan, Hao Chen, Mingzhe Zheng, Yew-Soon Ong and Lingxiao Yang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, IEEE Transactions on Information Forensics and Security and Pattern Recognition.
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.