Shiwei Ye
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 7
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- Educational Technology and Assessment 3
- Advanced Decision-Making Techniques 3
- Co-authors
- Yi Sun (11 shared papers)Yuan Sun (10 shared papers)Shi‐Qing Cai (4 shared papers)Fang Fang (1 shared paper)Wanqi Liang (1 shared paper)Jiankang Wu (4 shared papers)Malcolm J. Bennett (1 shared paper)Jie Yuan (1 shared paper)
In The Last Decade
Shiwei Ye
36 papers receiving 314 citations
Peers
Comparison fields: 5 of 105
- Aging 31
- Biophysics 24
- Rehabilitation 24
- Computer Science Applications 21
- Artificial Intelligence 70
Countries citing papers authored by Shiwei Ye
This map shows the geographic impact of Shiwei 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 Shiwei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiwei Ye more than expected).
Fields of papers citing papers by Shiwei Ye
This network shows the impact of papers produced by Shiwei 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 Shiwei Ye. The network helps show where Shiwei Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiwei 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2020 | 25 | |
| 3 | 2019 | 24 | |
| 4 | 2012 | 22 | |
| 5 | 2013 | 21 | |
| 6 | Alternating Recursive Method for Q-matrix Learning. | 2014 | 17 |
| 7 | 2022 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2016 | 11 | |
| 10 | 2019 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2025 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2007 | 4 | |
| 20 | 2024 | 4 |
About Shiwei Ye
Shiwei Ye is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 41 papers that have together received 322 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (7 papers), Online Learning and Analytics (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Advanced Neural Network Applications (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Educational Technology and Assessment (3 papers), Ion channel regulation and function (3 papers) and Advanced Decision-Making Techniques (3 papers). The work is most often cited by research in Aging (31 citations), Biophysics (24 citations), Rehabilitation (24 citations), Computer Science Applications (21 citations) and Artificial Intelligence (70 citations). Shiwei Ye has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Yi Sun, Yuan Sun, Shi‐Qing Cai, Fang Fang, Wanqi Liang, Jiankang Wu, Malcolm J. Bennett, Jie Yuan, Siyuan Chang and Xiaojian Liu. Their work appears in journals such as Nature Communications, iScience, International Journal of Rehabilitation Research, PLoS ONE and Proceedings of the National Academy of 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.