Li Wan
Impact in
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- stochastic dynamics and bifurcation
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- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Distributed Control Multi-Agent Systems
Papers in
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- Neural Networks Stability and Synchronization 41
- Nonlinear Dynamics and Pattern Formation 11
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- Neural Networks and Applications 24
- Co-authors
- Jianhua Sun (7 shared papers)Qinghua Zhou (30 shared papers)Hongbo Fu (9 shared papers)Jicheng Liu (5 shared papers)Qunjiao Zhang (9 shared papers)Xuan Hong Dang (1 shared paper)Wee Keong Ng (1 shared paper)Philip S. Yu (1 shared paper)
- Journals
- International Journal of Bifurcation and Chaos (5 papers)Physics Letters A (4 papers)Neurocomputing (4 papers)Applied Mathematics and Computation (4 papers)IEEE Access (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Li Wan
72 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Statistical and Nonlinear Physics 453
- Computer Networks and Communications 752
- Artificial Intelligence 512
- Modeling and Simulation 51
- Finance 102
Countries citing papers authored by Li Wan
This map shows the geographic impact of Li Wan'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 Li Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wan more than expected).
Fields of papers citing papers by Li Wan
This network shows the impact of papers produced by Li Wan. 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 Li Wan. The network helps show where Li Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Wan, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 152 | |
| 2 | 2009 | 108 | |
| 3 | 2005 | 56 | |
| 4 | 2015 | 55 | |
| 5 | 2007 | 53 | |
| 6 | 2012 | 45 | |
| 7 | 2008 | 40 | |
| 8 | 2006 | 38 | |
| 9 | 2005 | 37 | |
| 10 | 2007 | 32 | |
| 11 | 2005 | 31 | |
| 12 | 2013 | 30 | |
| 13 | 2018 | 29 | |
| 14 | 2008 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2011 | 23 | |
| 17 | 2017 | 22 | |
| 18 | 2007 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2011 | 20 |
About Li Wan
Li Wan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems and Electrical and Electronic Engineering, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (41 papers), stochastic dynamics and bifurcation (25 papers), Neural Networks and Applications (24 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Advanced Memory and Neural Computing (10 papers), Stochastic processes and financial applications (6 papers), Stability and Controllability of Differential Equations (6 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (453 citations), Computer Networks and Communications (752 citations), Artificial Intelligence (512 citations), Modeling and Simulation (51 citations) and Finance (102 citations). Li Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianhua Sun, Qinghua Zhou, Hongbo Fu, Jicheng Liu, Qunjiao Zhang, Xuan Hong Dang, Wee Keong Ng, Philip S. Yu, Kuan Zhang and Pei Wang. Their work appears in journals such as International Journal of Bifurcation and Chaos, Physics Letters A, Neurocomputing, Applied Mathematics and Computation and IEEE Access.
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.