Yonglu Shu
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- Chaos control and synchronization 13
- Quantum chaos and dynamical systems 9
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- Nonlinear Dynamics and Pattern Formation 13
- Neural Networks Stability and Synchronization 3
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals 5
- Geometry and Topology top 10%
- Analytic and geometric function theory 3
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- Holomorphic and Operator Theory 7
- Algebraic and Geometric Analysis 4
- Co-authors
- Chuandong LiXing HeFuchen ZhangJing LiYushu ZhangDi XiaoChunlai MuShouming Zhou
- Journals
- Physics Letters A (1 paper)Neurocomputing (1 paper)Journal of Mathematical Analysis and Applications (3 papers)
- Partner nations
- China
In The Last Decade
Yonglu Shu
24 papers receiving 445 citations
Peers
Comparison fields: 5 of 34
- Statistical and Nonlinear Physics 274
- Computer Networks and Communications 210
- Mathematical Physics 69
- Computer Vision and Pattern Recognition 145
- Geometry and Topology 37
Countries citing papers authored by Yonglu Shu
This map shows the geographic impact of Yonglu Shu'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 Yonglu Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonglu Shu more than expected).
Fields of papers citing papers by Yonglu Shu
This network shows the impact of papers produced by Yonglu Shu. 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 Yonglu Shu. The network helps show where Yonglu Shu may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Yonglu Shu, 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 | 2021 | 0 | |
| 2 | 2018 | 1 | |
| 3 | 2017 | 1 | |
| 4 | 2015 | 4 | |
| 5 | 2015 | 1 | |
| 6 | 2013 | 135 | |
| 7 | Subspace-supercyclicity and common subspace-supercyclic vectors | 2012 | 6 |
| 8 | 2012 | 90 | |
| 9 | 2012 | 5 | |
| 10 | 2012 | 19 | |
| 11 | 2011 | 21 | |
| 12 | 2011 | 3 | |
| 13 | 2011 | 37 | |
| 14 | 2011 | 3 | |
| 15 | Globally attractive set and feedback synchronization of the BLDCM system | 2010 | 2 |
| 16 | 2009 | 20 | |
| 17 | 2007 | 2 | |
| 18 | 2004 | 9 | |
| 19 | 2004 | 2 | |
| 20 | 2004 | 17 |
About Yonglu Shu
Yonglu Shu is a scholar working on Statistical and Nonlinear Physics, Applied Mathematics and Mathematical Physics, having authored 26 papers that have together received 465 indexed citations. Recurring topics across this work include Chaos control and synchronization (13 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Quantum chaos and dynamical systems (9 papers), Holomorphic and Operator Theory (7 papers), Mathematical Dynamics and Fractals (5 papers), Algebraic and Geometric Analysis (4 papers), Analytic and geometric function theory (3 papers) and Neural Networks Stability and Synchronization (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (274 citations), Computer Networks and Communications (210 citations) and Mathematical Physics (69 citations). Yonglu Shu has collaborated with scholars based in China. Frequent co-authors include Chuandong Li, Xing He, Fuchen Zhang, Jing Li, Yushu Zhang, Di Xiao, Chunlai Mu, Shouming Zhou, Xingyuan Wang and Iftikhar Ahmed. Their work appears in journals such as Physics Letters A, Neurocomputing and Journal of Mathematical Analysis and Applications.
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.