Bing Yan
Impact in
-
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
-
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
Papers in
-
- Adaptive Control of Nonlinear Systems 5
- Magnetic Bearings and Levitation Dynamics 3
-
- Distributed Control Multi-Agent Systems 12
- Neural Networks Stability and Synchronization 4
- Journals
- IEEE Transactions on Systems Man and Cybernetics Systems (2 papers)Journal of the Franklin Institute (2 papers)International Journal of Fuzzy Systems (2 papers)IEEE Systems Journal (2 papers)IEEE Transactions on Cybernetics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bing Yan
45 papers receiving 814 citations
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 414
- Control and Systems Engineering 332
- Aerospace Engineering 167
- Automotive Engineering 80
- Computational Theory and Mathematics 82
Countries citing papers authored by Bing Yan
This map shows the geographic impact of Bing Yan'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 Bing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yan more than expected).
Fields of papers citing papers by Bing Yan
This network shows the impact of papers produced by Bing Yan. 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 Bing Yan. The network helps show where Bing Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 102 | |
| 15 | 2021 | 46 | |
| 16 | 2020 | 168 | |
| 17 | 2018 | 3 | |
| 18 | 2014 | 3 | |
| 19 | Application on Fault Forecasting of Network of a Improved GA Optimization Algorithm | 2005 | 2 |
| 20 | Applying weight of evidence to perdict Pb-Zn potentiality in Ningnan region,Sichuan | 2005 | 1 |
About Bing Yan
Bing Yan is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Management Science and Operations Research, Computational Theory and Mathematics and Organizational Behavior and Human Resource Management, having authored 49 papers that have together received 838 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (12 papers), Adaptive Control of Nonlinear Systems (5 papers), Multi-Criteria Decision Making (5 papers), Electric Motor Design and Analysis (5 papers), Neural Networks Stability and Synchronization (4 papers), Magnetic Bearings and Levitation Dynamics (3 papers), Facility Location and Emergency Management (3 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Computer Networks and Communications (414 citations), Control and Systems Engineering (332 citations), Aerospace Engineering (167 citations), Automotive Engineering (80 citations) and Computational Theory and Mathematics (82 citations). Bing Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Peng Shi, Cheng‐Chew Lim, Zhiyuan Shi, Quan Pan, Haimin Zhang, Min Xu, Yuan Sun, Xiaoyong Zhu, Long Chen and Li Quan. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Journal of the Franklin Institute, International Journal of Fuzzy Systems, IEEE Systems Journal and IEEE Transactions on Cybernetics.
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.