Fengli Ren
Impact in
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- stochastic dynamics and bifurcation
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
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- Neural Networks Stability and Synchronization 8
- Nonlinear Dynamics and Pattern Formation 4
- Distributed Control Multi-Agent Systems 2
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- stochastic dynamics and bifurcation 3
- Chaos control and synchronization 2
- Co-authors
- Jinde Cao (8 shared papers)Hongyong Zhao (1 shared paper)Abdullah Al-Mazrooei (1 shared paper)A. M. Ełaiw (1 shared paper)Yong Yang (1 shared paper)A. S. Alofi (1 shared paper)Jianquan Lu (1 shared paper)
- Journals
- Neurocomputing (3 papers)Discrete and Continuous Dynamical Systems - B (1 paper)Applied Mathematics and Computation (1 paper)Nonlinearity (1 paper)Neural Processing Letters (1 paper)
- Partner nations
- ChinaSaudi Arabia
In The Last Decade
Fengli Ren
11 papers receiving 515 citations
Peers
Comparison fields: 5 of 27
- Statistical and Nonlinear Physics 279
- Modeling and Simulation 68
- Computer Networks and Communications 271
- Molecular Biology 290
- Genetics 99
Countries citing papers authored by Fengli Ren
This map shows the geographic impact of Fengli Ren'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 Fengli Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengli Ren more than expected).
Fields of papers citing papers by Fengli Ren
This network shows the impact of papers produced by Fengli Ren. 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 Fengli Ren. The network helps show where Fengli Ren may publish in the future.
Co-authors
The 7 scholars most cited alongside Fengli Ren, 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 | 2007 | 246 | |
| 2 | 2015 | 104 | |
| 3 | 2005 | 47 | |
| 4 | 2009 | 34 | |
| 5 | 2007 | 24 | |
| 6 | 2007 | 23 | |
| 7 | 2006 | 19 | |
| 8 | 2015 | 18 | |
| 9 | 2015 | 7 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 0 |
About Fengli Ren
Fengli Ren is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology and Control and Systems Engineering, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (8 papers), Neural Networks and Applications (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Gene Regulatory Network Analysis (3 papers), stochastic dynamics and bifurcation (3 papers), Distributed Control Multi-Agent Systems (2 papers), Chaos control and synchronization (2 papers) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (279 citations), Modeling and Simulation (68 citations), Computer Networks and Communications (271 citations), Molecular Biology (290 citations) and Genetics (99 citations). Fengli Ren has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Jinde Cao, Hongyong Zhao, Abdullah Al-Mazrooei, A. M. Ełaiw, Yong Yang, A. S. Alofi and Jianquan Lu. Their work appears in journals such as Neurocomputing, Discrete and Continuous Dynamical Systems - B, Applied Mathematics and Computation, Nonlinearity and Neural Processing 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.