Ailong Wu
Impact in
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Computer Networks and Communications top 0.5%
- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Distributed Control Multi-Agent Systems
Papers in
-
- Neural Networks Stability and Synchronization 67
- Nonlinear Dynamics and Pattern Formation 9
- Distributed Control Multi-Agent Systems 8
-
- stochastic dynamics and bifurcation 41
- Chaos control and synchronization 5
- Co-authors
- Zhigang Zeng (41 shared papers)Shiping Wen (5 shared papers)Jin‐E Zhang (10 shared papers)Jian Xiao (8 shared papers)Tingwen Huang (3 shared papers)Ling Liu (3 shared papers)Yiran Chen (1 shared paper)Leon O. Chua (1 shared paper)
- Journals
- Neurocomputing (14 papers)Advances in Difference Equations (10 papers)Neural Networks (6 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)Information Sciences (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ailong Wu
75 papers receiving 2.8k citations
Ailong Wu's Hit Papers
Peers
Comparison fields: 5 of 59
- Statistical and Nonlinear Physics 1.6k
- Computer Networks and Communications 2.3k
- Electrical and Electronic Engineering 1.6k
- Modeling and Simulation 111
- Artificial Intelligence 544
Countries citing papers authored by Ailong Wu
This map shows the geographic impact of Ailong 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 Ailong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailong Wu more than expected).
Fields of papers citing papers by Ailong Wu
This network shows the impact of papers produced by Ailong 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 Ailong Wu. The network helps show where Ailong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailong 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Synchronization control of a class of memristor-based recurrent neural networks Hit paper breakdown → | 2011 | 337 |
| 2 | 2012 | 264 | |
| 3 | 2015 | 226 | |
| 4 | 2013 | 173 | |
| 5 | 2012 | 165 | |
| 6 | 2012 | 157 | |
| 7 | 2011 | 137 | |
| 8 | 2022 | 133 | |
| 9 | 2016 | 88 | |
| 10 | 2015 | 86 | |
| 11 | 2013 | 85 | |
| 12 | 2011 | 79 | |
| 13 | 2015 | 67 | |
| 14 | 2019 | 56 | |
| 15 | 2020 | 50 | |
| 16 | 2013 | 42 | |
| 17 | 2014 | 40 | |
| 18 | 2016 | 39 | |
| 19 | 2023 | 35 | |
| 20 | 2020 | 30 |
About Ailong Wu
Ailong Wu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 77 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (67 papers), stochastic dynamics and bifurcation (41 papers), Advanced Memory and Neural Computing (30 papers), Neural Networks and Applications (24 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Distributed Control Multi-Agent Systems (8 papers), Chaos control and synchronization (5 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.6k citations), Computer Networks and Communications (2.3k citations), Electrical and Electronic Engineering (1.6k citations), Modeling and Simulation (111 citations) and Artificial Intelligence (544 citations). Ailong Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhigang Zeng, Shiping Wen, Jin‐E Zhang, Jian Xiao, Tingwen Huang, Ling Liu, Yiran Chen, Leon O. Chua, Xiaoxuan Yang and Leimin Wang. Their work appears in journals such as Neurocomputing, Advances in Difference Equations, Neural Networks, IEEE Transactions on Neural Networks and Learning Systems and Information Sciences.
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.