Ruqi Zhou
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Digital Image Processing Techniques
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- Fuzzy Logic and Control Systems 2
- Cognitive Computing and Networks 2
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- Image Enhancement Techniques 2
- Handwritten Text Recognition Techniques 2
- Co-authors
- Chai Quek (4 shared papers)Geok See Ng (1 shared paper)Huiyou Chang (4 shared papers)Feifei Zhang (2 shared papers)Yiqun Chen (1 shared paper)Yilin Wu (1 shared paper)Chun Wu (1 shared paper)Yimian Dai (2 shared papers)
In The Last Decade
Ruqi Zhou
15 papers receiving 237 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 105
- Media Technology 37
- Artificial Intelligence 111
- Management Science and Operations Research 32
- Human-Computer Interaction 13
Countries citing papers authored by Ruqi Zhou
This map shows the geographic impact of Ruqi Zhou'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 Ruqi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruqi Zhou more than expected).
Fields of papers citing papers by Ruqi Zhou
This network shows the impact of papers produced by Ruqi Zhou. 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 Ruqi Zhou. The network helps show where Ruqi Zhou may publish in the future.
Co-authors
The 19 scholars most cited alongside Ruqi Zhou, 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 | 1996 | 86 | |
| 2 | 1995 | 59 | |
| 3 | 2002 | 39 | |
| 4 | 2020 | 24 | |
| 5 | 2023 | 13 | |
| 6 | 2002 | 12 | |
| 7 | 2019 | 9 | |
| 8 | 2022 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2017 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 |
About Ruqi Zhou
Ruqi Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Media Technology and Management Science and Operations Research, having authored 16 papers that have together received 257 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (4 papers), Fuzzy Logic and Control Systems (2 papers), Image Enhancement Techniques (2 papers), Cognitive Computing and Networks (2 papers), Multi-Criteria Decision Making (2 papers), Vehicle License Plate Recognition (2 papers), Handwritten Text Recognition Techniques (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (105 citations), Media Technology (37 citations), Artificial Intelligence (111 citations), Management Science and Operations Research (32 citations) and Human-Computer Interaction (13 citations). Ruqi Zhou has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Chai Quek, Geok See Ng, Huiyou Chang, Feifei Zhang, Yiqun Chen, Yilin Wu, Chun Wu, Yimian Dai, Yonghe Lu and Qiang Chen. Their work appears in journals such as Pattern Recognition Letters, IEEE Access, IEEE Transactions on Fuzzy Systems, CAAI Transactions on Intelligence Technology and Applied Sciences.
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.