Ying Wan
- Computer Networks and Communications top 1%
- Control and Systems Engineering top 2%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Jinde CaoGuanghui WenWenwu YuTingwen HuangXinghuo YuWei HuangGuanrong ChenJunjie Fu
- Topics
- Neural Networks Stability and Synchronization (23 papers)Distributed Control Multi-Agent Systems (22 papers)Advanced Memory and Neural Computing (8 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Partner nations
- ChinaAustraliaSaudi Arabia
In The Last Decade
Ying Wan
50 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 1.2k
- Control and Systems Engineering 463
- Statistical and Nonlinear Physics 401
- Electrical and Electronic Engineering 330
- Artificial Intelligence 211
Countries citing papers authored by Ying Wan
This map shows the geographic impact of Ying Wan'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 Ying Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wan more than expected).
Fields of papers citing papers by Ying Wan
This network shows the impact of papers produced by Ying Wan. 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 Ying Wan. The network helps show where Ying Wan may publish in the future.
Co-authorship network of co-authors of Ying Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Wan. A scholar is included among the top collaborators of Ying Wan 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 Ying Wan. Ying Wan 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 24 | |
| 11 | 78 | |
| 12 | 38 | |
| 13 | 53 | |
| 14 | 10 | |
| 15 | 66 | |
| 16 | 83 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delaysbreakdown → | 330 |
About Ying Wan
Ying Wan is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Automotive Engineering, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (23 papers), Distributed Control Multi-Agent Systems (22 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Statistical and Nonlinear Physics (401 citations) and Control and Systems Engineering (463 citations). Ying Wan has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Jinde Cao, Guanghui Wen, Wenwu Yu, Tingwen Huang, Xinghuo Yu, Wei Huang, Guanrong Chen, Junjie Fu, Wenwu Yu and Peijun Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, Construction and Building Materials and Sensors.
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.