Jun Yu
Impact in
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- Multimodal Machine Learning Applications
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image Processing Techniques
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- Emotion and Mood Recognition
Papers in
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- Face recognition and analysis 17
- Advanced Neural Network Applications 13
- Generative Adversarial Networks and Image Synthesis 12
- Multimodal Machine Learning Applications 7
- Advanced Image Processing Techniques 6
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- Emotion and Mood Recognition 13
- Co-authors
- Dacheng Tao (2 shared papers)Yuhao Cui (1 shared paper)Yu Zhou (1 shared paper)Qi Chuan Tian (1 shared paper)Zengfu Wang (33 shared papers)Qiang Ling (16 shared papers)Lingyun Yu (10 shared papers)Zhaoyu Zhang (4 shared papers)
- Journals
- IEEE Transactions on Multimedia (9 papers)Multimedia Tools and Applications (6 papers)IEEE Transactions on Circuits and Systems for Video Technology (5 papers)ACM Transactions on Multimedia Computing Communications and Applications (4 papers)IEEE Access (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Yu
170 papers receiving 2.0k citations
Jun Yu's Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 1.1k
- Experimental and Cognitive Psychology 154
- Artificial Intelligence 160
- Media Technology 36
- Signal Processing 22
Countries citing papers authored by Jun Yu
This map shows the geographic impact of Jun Yu'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 Jun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
Fields of papers citing papers by Jun Yu
This network shows the impact of papers produced by Jun Yu. 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 Jun Yu. The network helps show where Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yu, 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 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Modular Co-Attention Networks for Visual Question Answering Hit paper breakdown → | 2019 | 706 |
| 2 | 2018 | 52 | |
| 3 | 2020 | 50 | |
| 4 | 2020 | 44 | |
| 5 | 2022 | 39 | |
| 6 | 2023 | 39 | |
| 7 | 2019 | 34 | |
| 8 | 2021 | 32 | |
| 9 | 2014 | 31 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 26 | |
| 12 | 2017 | 22 | |
| 13 | 2023 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2024 | 20 | |
| 17 | 2019 | 18 | |
| 18 | 2023 | 18 | |
| 19 | 2015 | 16 | |
| 20 | 2016 | 16 |
About Jun Yu
Jun Yu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Artificial Intelligence, Control and Systems Engineering and Computational Mechanics, having authored 183 papers that have together received 2.0k indexed citations. Recurring topics across this work include Face recognition and analysis (17 papers), Emotion and Mood Recognition (13 papers), Advanced Neural Network Applications (13 papers), Generative Adversarial Networks and Image Synthesis (12 papers), Multimodal Machine Learning Applications (7 papers), Human Motion and Animation (6 papers), Advanced Image Processing Techniques (6 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Experimental and Cognitive Psychology (154 citations), Artificial Intelligence (160 citations), Media Technology (36 citations) and Signal Processing (22 citations). Jun Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dacheng Tao, Yuhao Cui, Yu Zhou, Qi Chuan Tian, Zengfu Wang, Qiang Ling, Lingyun Yu, Zhaoyu Zhang, Chang Wen Chen and Zengfu Wang. Their work appears in journals such as IEEE Transactions on Multimedia, Multimedia Tools and Applications, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Access.
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.