Ranchao Wu
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.2%
- Modeling and Simulation top 0.2%
- Control and Systems Engineering top 1%
- Artificial Intelligence top 2%
- Co-authors
- Liping ChenYi ChaiYigang HeMengxin ChenAntónio M. LopesJinde CaoJ. A. Tenreiro MachadoXiang Li
- Topics
- Nonlinear Dynamics and Pattern Formation (63 papers)Mathematical and Theoretical Epidemiology and Ecology Models (52 papers)Neural Networks Stability and Synchronization (49 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPhysics Letters A
- Partner nations
- ChinaPortugalUnited States
In The Last Decade
Ranchao Wu
157 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 1.9k
- Statistical and Nonlinear Physics 1.6k
- Modeling and Simulation 1.0k
- Control and Systems Engineering 830
- Artificial Intelligence 674
Countries citing papers authored by Ranchao Wu
This map shows the geographic impact of Ranchao Wu'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 Ranchao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranchao Wu more than expected).
Fields of papers citing papers by Ranchao Wu
This network shows the impact of papers produced by Ranchao Wu. 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 Ranchao Wu. The network helps show where Ranchao Wu may publish in the future.
Co-authorship network of co-authors of Ranchao Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ranchao Wu. A scholar is included among the top collaborators of Ranchao Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ranchao Wu. Ranchao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 25 | |
| 17 | 74 | |
| 18 | Turing and Hopf bifurcation of Gierer-Meinhardt activator-substrate model | 2 |
| 19 | Laplace transform of fractional order differential equations | 58 |
| 20 | 39 |
About Ranchao Wu
Ranchao Wu is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 172 papers that have together received 3.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (63 papers), Mathematical and Theoretical Epidemiology and Ecology Models (52 papers) and Neural Networks Stability and Synchronization (49 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Statistical and Nonlinear Physics (1.6k citations) and Computer Networks and Communications (1.9k citations). Ranchao Wu has collaborated with scholars based in China, Portugal and United States. Frequent co-authors include Liping Chen, Yi Chai, Yigang He, Mengxin Chen, António M. Lopes, Jinde Cao, J. A. Tenreiro Machado, Xiang Li, Tiedong Ma and Lisheng Yin. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Physics Letters A.
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.