Shuo Zhou
- Computational Mathematics top 1%
- Tensor decomposition and applications 3
- Artificial Intelligence top 10%
- Neural Networks and Applications 2
- Algorithms and Data Compression 2
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- Granular flow and fluidized beds 3
- Computational Fluid Dynamics and Aerodynamics 2
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- Landslides and related hazards 5
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- Force Microscopy Techniques and Applications 1
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- Planetary Science and Exploration 1
- Co-authors
- James BaileyNguyễn Xuân VinhJeffrey ChanIan DavidsonSarah ErfaniXingjun MaSudanthi WijewickremaAntoinette Tordesillas
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Pattern Recognition (1 paper)
In The Last Decade
Shuo Zhou
17 papers receiving 279 citations
Peers
Comparison fields: 5 of 70
- Computational Mathematics 79
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 133
- Hardware and Architecture 16
- Computational Mechanics 43
Countries citing papers authored by Shuo Zhou
This map shows the geographic impact of Shuo 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 Shuo Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Zhou more than expected).
Fields of papers citing papers by Shuo Zhou
This network shows the impact of papers produced by Shuo 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 Shuo Zhou. The network helps show where Shuo Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuo 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 2 | |
| 11 | Dimensionality-Driven Learning with Noisy Labels | 2018 | 49 |
| 12 | 2018 | 12 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 11 | |
| 16 | 2016 | 76 | |
| 17 | 2015 | 82 | |
| 18 | 2015 | 1 | |
| 19 | 2011 | 4 | |
| 20 | 2011 | 7 |
About Shuo Zhou
Shuo Zhou is a scholar working on Computational Mathematics, Management, Monitoring, Policy and Law and Hardware and Architecture, having authored 20 papers that have together received 286 indexed citations. Recurring topics across this work include Landslides and related hazards (5 papers), Tensor decomposition and applications (3 papers), Granular flow and fluidized beds (3 papers), Neural Networks and Applications (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Algorithms and Data Compression (2 papers), Force Microscopy Techniques and Applications (1 paper) and Planetary Science and Exploration (1 paper). The work is most often cited by research in Computational Mathematics (79 citations), Computer Vision and Pattern Recognition (86 citations) and Artificial Intelligence (133 citations). Shuo Zhou has collaborated with scholars based in Australia, China and Italy. Frequent co-authors include James Bailey, Nguyễn Xuân Vinh, Jeffrey Chan, Ian Davidson, Sarah Erfani, Xingjun Ma, Sudanthi Wijewickrema, Antoinette Tordesillas, Michael E. Houle and Shu‐Tao Xia. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pattern Recognition.
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.