Kai‐Ning Wu
Impact in
-
- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Distributed Control Multi-Agent Systems
- Modeling and Simulation top 5%
Papers in
-
- Stability and Controllability of Differential Equations 55
- Stability and Control of Uncertain Systems 14
-
- Neural Networks Stability and Synchronization 54
- Nonlinear Dynamics and Pattern Formation 23
- Co-authors
- Xiaozhen Liu (17 shared papers)Bor‐Sen Chen (5 shared papers)Cheng‐Chew Lim (5 shared papers)Xiaohua Ding (8 shared papers)Xiaohua Ding (4 shared papers)Liming Wang (5 shared papers)Peng Shi (2 shared papers)Hanxiao Sun (2 shared papers)
In The Last Decade
Kai‐Ning Wu
76 papers receiving 908 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 625
- Modeling and Simulation 91
- Numerical Analysis 109
- Control and Systems Engineering 433
- Statistical and Nonlinear Physics 217
Countries citing papers authored by Kai‐Ning Wu
This map shows the geographic impact of Kai‐Ning 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 Kai‐Ning Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Ning Wu more than expected).
Fields of papers citing papers by Kai‐Ning Wu
This network shows the impact of papers produced by Kai‐Ning 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 Kai‐Ning Wu. The network helps show where Kai‐Ning Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Ning Wu, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 84 | |
| 2 | 2017 | 47 | |
| 3 | 2016 | 47 | |
| 4 | 2013 | 37 | |
| 5 | 2021 | 36 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 31 | |
| 8 | 2020 | 29 | |
| 9 | 2019 | 29 | |
| 10 | 2010 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2021 | 25 | |
| 13 | 2022 | 25 | |
| 14 | 2006 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2022 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2020 | 17 |
About Kai‐Ning Wu
Kai‐Ning Wu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Numerical Analysis, having authored 86 papers that have together received 913 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (55 papers), Neural Networks Stability and Synchronization (54 papers), Nonlinear Dynamics and Pattern Formation (23 papers), Stability and Control of Uncertain Systems (14 papers), Advanced Mathematical Modeling in Engineering (14 papers), Numerical methods for differential equations (9 papers), stochastic dynamics and bifurcation (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). The work is most often cited by research in Computer Networks and Communications (625 citations), Modeling and Simulation (91 citations), Numerical Analysis (109 citations), Control and Systems Engineering (433 citations) and Statistical and Nonlinear Physics (217 citations). Kai‐Ning Wu has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Xiaozhen Liu, Bor‐Sen Chen, Cheng‐Chew Lim, Xiaohua Ding, Xiaohua Ding, Liming Wang, Peng Shi, Hanxiao Sun, Weihai Zhang and Tian Tian. Their work appears in journals such as Journal of the Franklin Institute, Applied Mathematics and Computation, International Journal of Robust and Nonlinear Control, Communications in Nonlinear Science and Numerical Simulation and International Journal of Systems Science.
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.