Yuanyi Zhong
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 4
- Adversarial Robustness in Machine Learning 2
- Anomaly Detection Techniques and Applications 2
- Media Technology top 10%
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- COVID-19 diagnosis using AI 1
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- Spam and Phishing Detection 1
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- Adaptive Dynamic Programming Control 1
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Signal Processing Letters (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yuanyi Zhong
8 papers receiving 388 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 268
- Artificial Intelligence 185
- Media Technology 33
- Signal Processing 38
- Industrial and Manufacturing Engineering 22
Countries citing papers authored by Yuanyi Zhong
This map shows the geographic impact of Yuanyi Zhong'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 Yuanyi Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanyi Zhong more than expected).
Fields of papers citing papers by Yuanyi Zhong
This network shows the impact of papers produced by Yuanyi Zhong. 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 Yuanyi Zhong. The network helps show where Yuanyi Zhong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuanyi Zhong, 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 | 2023 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 140 | |
| 6 | 2020 | 0 | |
| 7 | 2020 | 66 | |
| 8 | 2018 | 94 | |
| 9 | 2017 | 43 | |
| 10 | 2017 | 26 |
About Yuanyi Zhong
Yuanyi Zhong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 10 papers that have together received 392 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers), Anomaly Detection Techniques and Applications (2 papers), COVID-19 diagnosis using AI (1 paper), Spam and Phishing Detection (1 paper) and Adaptive Dynamic Programming Control (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (268 citations), Artificial Intelligence (185 citations), Media Technology (33 citations), Signal Processing (38 citations) and Industrial and Manufacturing Engineering (22 citations). Yuanyi Zhong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jiansheng Chen, Yu-Xiong Wang, Weitao Wan, Tianpeng Li, Bodi Yuan, Zhiqiang Yuan, Jian Peng, Hong Wu, Jianfeng Wang and Jian Peng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Letters, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 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.