Junhao Dong
Impact in
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- Video Surveillance and Tracking Methods
- Digital Media Forensic Detection
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
Papers in
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- Adversarial Robustness in Machine Learning 13
- Domain Adaptation and Few-Shot Learning 6
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- Digital Media Forensic Detection 4
- Multimodal Machine Learning Applications 3
- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Face recognition and analysis 2
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Xiaohua Xie (11 shared papers)Jianhuang Lai (10 shared papers)Yuan Wang (5 shared papers)Yanyun Zhao (1 shared paper)Yunhao Du (1 shared paper)Hao Chen (1 shared paper)Yew-Soon Ong (8 shared papers)Lingxiao Yang (1 shared paper)
In The Last Decade
Junhao Dong
23 papers receiving 311 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 183
- Artificial Intelligence 117
- Signal Processing 5
- Experimental and Cognitive Psychology 10
- Automotive Engineering 5
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 120 | |
| 2 | 2023 | 57 | |
| 3 | 2024 | 34 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 8 | |
| 9 | 2025 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Junhao Dong
Junhao Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Management Science and Operations Research and Experimental and Cognitive Psychology, having authored 31 papers that have together received 321 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (13 papers), Domain Adaptation and Few-Shot Learning (6 papers), Digital Media Forensic Detection (4 papers), Multimodal Machine Learning Applications (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (2 papers), Face recognition and analysis (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Artificial Intelligence (117 citations), Signal Processing (5 citations), Experimental and Cognitive Psychology (10 citations) and Automotive Engineering (5 citations). Junhao Dong has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Xiaohua Xie, Jianhuang Lai, Yuan Wang, Yanyun Zhao, Yunhao Du, Hao Chen, Yew-Soon Ong, Lingxiao Yang, Dian Shao and Mingzhe Zheng. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems, ACM Computing Surveys, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.