Simin Li
Impact in
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Mathematical Dynamics and Fractals 9
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- Adversarial Robustness in Machine Learning 4
- Reinforcement Learning in Robotics 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Yang Yu (1 shared paper)Guoqiang Liu (1 shared paper)Chao Song (1 shared paper)Wanlin Wu (1 shared paper)Weixiao Shen (5 shared papers)Mu Han (1 shared paper)Kai Xu (1 shared paper)Liangzhong Li (1 shared paper)
In The Last Decade
Simin Li
20 papers receiving 266 citations
Peers
Comparison fields: 5 of 56
- Surfaces, Coatings and Films 86
- Biomaterials 77
- Water Science and Technology 62
- Mathematical Physics 25
- Signal Processing 24
Countries citing papers authored by Simin Li
This map shows the geographic impact of Simin Li'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 Simin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simin Li more than expected).
Fields of papers citing papers by Simin Li
This network shows the impact of papers produced by Simin Li. 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 Simin Li. The network helps show where Simin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Simin Li, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2022 | 39 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 28 | |
| 5 | 2023 | 14 | |
| 6 | 2024 | 9 | |
| 7 | 2007 | 7 | |
| 8 | 2006 | 7 | |
| 9 | 2014 | 4 | |
| 10 | 2009 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2015 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2009 | 2 | |
| 16 | On Removing Ambiguity in Text Understanding | 1998 | 1 |
| 17 | The topological complexity of Cantor attractors in one-dimensional dynamics | 2012 | 1 |
| 18 | 2025 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2008 | 1 |
About Simin Li
Simin Li is a scholar working on Mathematical Physics, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 25 papers that have together received 274 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (9 papers), Adversarial Robustness in Machine Learning (4 papers), Reinforcement Learning in Robotics (3 papers), Advanced Differential Equations and Dynamical Systems (3 papers), Chaos control and synchronization (3 papers), Anomaly Detection Techniques and Applications (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Advanced Combinatorial Mathematics (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (86 citations), Biomaterials (77 citations), Water Science and Technology (62 citations), Mathematical Physics (25 citations) and Signal Processing (24 citations). Simin Li has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yang Yu, Guoqiang Liu, Chao Song, Wanlin Wu, Weixiao Shen, Mu Han, Kai Xu, Liangzhong Li, Xiaohang Xu and Ruixue Ma. Their work appears in journals such as Nonlinearity, Fractals, Desalination, IEEE Transactions on Image Processing and IEEE Robotics and Automation Letters.
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.