Yao Xu
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Modeling and Simulation top 5%
- Co-authors
- Wenxue LiYanzhen LiHui ZhouJiqiang FengQiang LiQilong JiaRong ShenQi Wang
- Topics
- Neural Networks Stability and Synchronization (21 papers)Nonlinear Dynamics and Pattern Formation (17 papers)stochastic dynamics and bifurcation (12 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsModeling and Simulation
- Journals
- Fuzzy Sets and SystemsIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- ChinaUnited States
In The Last Decade
Yao Xu
21 papers receiving 559 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 479
- Statistical and Nonlinear Physics 257
- Control and Systems Engineering 97
- Artificial Intelligence 82
- Modeling and Simulation 73
Countries citing papers authored by Yao Xu
This map shows the geographic impact of Yao Xu'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 Yao Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Xu more than expected).
Fields of papers citing papers by Yao Xu
This network shows the impact of papers produced by Yao Xu. 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 Yao Xu. The network helps show where Yao Xu may publish in the future.
Co-authorship network of co-authors of Yao Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Yao Xu. A scholar is included among the top collaborators of Yao Xu 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 Yao Xu. Yao Xu 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 | 4 | |
| 3 | 16 | |
| 4 | 9 | |
| 5 | 30 | |
| 6 | 30 | |
| 7 | 29 | |
| 8 | 23 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 57 | |
| 12 | 110 | |
| 13 | 53 | |
| 14 | 39 | |
| 15 | 4 | |
| 16 | 30 | |
| 17 | 15 | |
| 18 | 66 | |
| 19 | 6 | |
| 20 | 17 |
About Yao Xu
Yao Xu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 22 papers that have together received 572 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (21 papers), Nonlinear Dynamics and Pattern Formation (17 papers) and stochastic dynamics and bifurcation (12 papers). The work is most often cited by research in Computer Networks and Communications (479 citations), Statistical and Nonlinear Physics (257 citations) and Modeling and Simulation (73 citations). Yao Xu has collaborated with scholars based in China and United States. Frequent co-authors include Wenxue Li, Yanzhen Li, Hui Zhou, Jiqiang Feng, Qiang Li, Qilong Jia, Rong Shen, Qi Wang, Chunmei Zhang and Wenbo Li. Their work appears in journals such as Fuzzy Sets and Systems, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.