Liyun Su
Impact in
-
- Chaos control and synchronization
- Modeling and Simulation top 10%
Papers in
-
- Image and Signal Denoising Methods 17
- Advanced Image Processing Techniques 12
- Advanced Steganography and Watermarking Techniques 5
-
- Neural Networks and Applications 17
- Co-authors
- Fenglan Li (14 shared papers)Jialing Yang (1 shared paper)Xiaoyi Wang (2 shared papers)Wanlin Zhu (3 shared papers)C.-T. Pan (2 shared papers)Hongru Ma (2 shared papers)Feng Xu (1 shared paper)Hongzhong Lu (1 shared paper)
In The Last Decade
Liyun Su
60 papers receiving 371 citations
Peers
Comparison fields: 5 of 91
- Statistical and Nonlinear Physics 84
- Modeling and Simulation 25
- Signal Processing 57
- Computer Vision and Pattern Recognition 89
- Numerical Analysis 19
Countries citing papers authored by Liyun Su
This map shows the geographic impact of Liyun Su'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 Liyun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyun Su more than expected).
Fields of papers citing papers by Liyun Su
This network shows the impact of papers produced by Liyun Su. 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 Liyun Su. The network helps show where Liyun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyun Su, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 63 | |
| 2 | 2022 | 42 | |
| 3 | 2024 | 21 | |
| 4 | 2012 | 15 | |
| 5 | 2024 | 15 | |
| 6 | 2015 | 14 | |
| 7 | 2010 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2008 | 11 | |
| 12 | 2011 | 10 | |
| 13 | 2006 | 10 | |
| 14 | 2012 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2006 | 8 | |
| 18 | 2013 | 6 | |
| 19 | 2012 | 5 | |
| 20 | 2025 | 5 |
About Liyun Su
Liyun Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Control and Systems Engineering and Signal Processing, having authored 75 papers that have together received 404 indexed citations. Recurring topics across this work include Chaos control and synchronization (18 papers), Neural Networks and Applications (17 papers), Image and Signal Denoising Methods (17 papers), Advanced Image Processing Techniques (12 papers), Image Processing Techniques and Applications (7 papers), Blind Source Separation Techniques (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (84 citations), Modeling and Simulation (25 citations), Signal Processing (57 citations), Computer Vision and Pattern Recognition (89 citations) and Numerical Analysis (19 citations). Liyun Su has collaborated with scholars based in China, Portugal and Czechia. Frequent co-authors include Fenglan Li, Jialing Yang, Xiaoyi Wang, Wanlin Zhu, C.-T. Pan, Hongru Ma, Feng Xu, Hongzhong Lu, Li Deng and Guangming Xiang. Their work appears in journals such as Complexity, PLoS ONE, Wireless Personal Communications, Humanities and Social Sciences Communications and Complex & Intelligent Systems.
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.