Lu Qi-Shao
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Quantum chaos and dynamical systems
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- stochastic dynamics and bifurcation 27
- Chaos control and synchronization 13
- Quantum chaos and dynamical systems 6
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- Nonlinear Dynamics and Pattern Formation 30
- Neural Networks Stability and Synchronization 4
- Co-authors
- Xia Shi (6 shared papers)Haixia Wang (3 shared papers)Zuodong Yang (2 shared papers)Haixia Wang (2 shared papers)Xiaojuan Sun (2 shared papers)Jian Xu (3 shared papers)Zhuoqin Yang (2 shared papers)Shuli Mei (1 shared paper)
In The Last Decade
Lu Qi-Shao
47 papers receiving 474 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 427
- Computer Networks and Communications 350
- Cognitive Neuroscience 251
- Modeling and Simulation 17
- Applied Mathematics 36
Countries citing papers authored by Lu Qi-Shao
This map shows the geographic impact of Lu Qi-Shao'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 Lu Qi-Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Qi-Shao more than expected).
Fields of papers citing papers by Lu Qi-Shao
This network shows the impact of papers produced by Lu Qi-Shao. 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 Lu Qi-Shao. The network helps show where Lu Qi-Shao may publish in the future.
Co-authors
The 19 scholars most cited alongside Lu Qi-Shao, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 60 | |
| 2 | 2005 | 43 | |
| 3 | 2005 | 33 | |
| 4 | 2004 | 32 | |
| 5 | 2005 | 32 | |
| 6 | 2005 | 29 | |
| 7 | 2005 | 25 | |
| 8 | 2010 | 23 | |
| 9 | 2003 | 17 | |
| 10 | 1996 | 17 | |
| 11 | 2005 | 17 | |
| 12 | 2009 | 16 | |
| 13 | 2005 | 16 | |
| 14 | 2003 | 13 | |
| 15 | 2007 | 11 | |
| 16 | 2007 | 11 | |
| 17 | 2009 | 11 | |
| 18 | 2010 | 10 | |
| 19 | 2005 | 9 | |
| 20 | 2001 | 9 |
About Lu Qi-Shao
Lu Qi-Shao is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Applied Mathematics and Control and Systems Engineering, having authored 50 papers that have together received 540 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (30 papers), stochastic dynamics and bifurcation (27 papers), Neural dynamics and brain function (18 papers), Chaos control and synchronization (13 papers), Quantum chaos and dynamical systems (6 papers), Nonlinear Differential Equations Analysis (4 papers), Neural Networks Stability and Synchronization (4 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (427 citations), Computer Networks and Communications (350 citations), Cognitive Neuroscience (251 citations), Modeling and Simulation (17 citations) and Applied Mathematics (36 citations). Lu Qi-Shao has collaborated with scholars based in China, Mongolia and Hong Kong. Frequent co-authors include Xia Shi, Haixia Wang, Zuodong Yang, Haixia Wang, Xiaojuan Sun, Jian Xu, Zhuoqin Yang, Shuli Mei, Marian Wiercigroch and Jin Li. Their work appears in journals such as Chinese Physics Letters, Applied Mathematics and Mechanics, Acta Mechanica Sinica, Mathematical Methods in the Applied Sciences and Science China Mathematics.
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.