Shuo Ye
Impact in
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
Papers in
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- Bone Tissue Engineering Materials 3
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- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Visual Attention and Saliency Detection 3
- Co-authors
- Yunbo Zeng (1 shared paper)Xinge You (8 shared papers)Qinmu Peng (5 shared papers)Guojing Yang (3 shared papers)Xiurong Ke (3 shared papers)Zhongru Gou (3 shared papers)Lei Zhang (3 shared papers)Xianyan Yang (3 shared papers)
- Journals
- BMC Musculoskeletal Disorders (3 papers)Plant Physiology and Biochemistry (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)The FASEB Journal (1 paper)Journal of Diabetes Investigation (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Shuo Ye
31 papers receiving 212 citations
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 20
- Oral Surgery 10
- Computer Vision and Pattern Recognition 32
- Biomedical Engineering 59
- Experimental and Cognitive Psychology 15
Countries citing papers authored by Shuo Ye
This map shows the geographic impact of Shuo Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Ye more than expected).
Fields of papers citing papers by Shuo Ye
This network shows the impact of papers produced by Shuo Ye. 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 Ye. The network helps show where Shuo Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo Ye, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 26 | |
| 2 | 2002 | 20 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2016 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Shuo Ye
Shuo Ye is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery and Plant Science, having authored 35 papers that have together received 216 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Plant responses to water stress (3 papers), Visual Attention and Saliency Detection (3 papers), Bone Tissue Engineering Materials (3 papers), Plant Stress Responses and Tolerance (3 papers) and Orthopaedic implants and arthroplasty (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (20 citations), Oral Surgery (10 citations), Computer Vision and Pattern Recognition (32 citations), Biomedical Engineering (59 citations) and Experimental and Cognitive Psychology (15 citations). Shuo Ye has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yunbo Zeng, Xinge You, Qinmu Peng, Guojing Yang, Xiurong Ke, Zhongru Gou, Lei Zhang, Xianyan Yang, Shujian Yu and Miaoda Shen. Their work appears in journals such as BMC Musculoskeletal Disorders, Plant Physiology and Biochemistry, IEEE Transactions on Neural Networks and Learning Systems, The FASEB Journal and Journal of Diabetes Investigation.
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.