Ruizhen Zhao
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- Image and Signal Denoising Methods 13
- Advanced Image and Video Retrieval Techniques 9
- Video Surveillance and Tracking Methods 7
- Face and Expression Recognition 6
- Image Retrieval and Classification Techniques 6
- Advanced Image Processing Techniques 6
- Media Technology top 2%
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 23
- Human-Computer Interaction top 10%
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- Blind Source Separation Techniques 6
- Journals
- Neurocomputing (7 papers)IEEE Transactions on Image Processing (3 papers)IEEE Transactions on Multimedia (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Ruizhen Zhao
56 papers receiving 745 citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 575
- Media Technology 147
- Computational Mathematics 8
- Computational Mechanics 174
- Human-Computer Interaction 34
Countries citing papers authored by Ruizhen Zhao
This map shows the geographic impact of Ruizhen Zhao'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 Ruizhen Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruizhen Zhao more than expected).
Fields of papers citing papers by Ruizhen Zhao
This network shows the impact of papers produced by Ruizhen Zhao. 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 Ruizhen Zhao. The network helps show where Ruizhen Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruizhen Zhao, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 16 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 5 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 37 | |
| 12 | 2016 | 4 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 1 | |
| 15 | 2016 | 4 | |
| 16 | 2015 | 5 | |
| 17 | 2014 | 1 | |
| 18 | 2014 | 2 | |
| 19 | 2014 | 35 | |
| 20 | Image denoising using least squares wavelet support vector machines | 2007 | 3 |
About Ruizhen Zhao
Ruizhen Zhao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, having authored 58 papers that have together received 767 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (23 papers), Image and Signal Denoising Methods (13 papers), Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (7 papers), Blind Source Separation Techniques (6 papers), Face and Expression Recognition (6 papers), Image Retrieval and Classification Techniques (6 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (575 citations), Media Technology (147 citations) and Computational Mathematics (8 citations). Ruizhen Zhao has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yigang Cen, Jinhui Tang, Meng Wang, Zechao Li, Gaoyun An, Hengyou Wang, Caijuan Shi, Zhihai He, Qiuqi Ruan and Shaohai Hu. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Signal Processing and International Journal of Machine Learning and Cybernetics.
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.