Yuequan Yang
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Plant Science
- Topics
- Adaptive Control of Nonlinear Systems (17 papers)Stability and Control of Uncertain Systems (10 papers)Neural Networks Stability and Synchronization (8 papers)
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsComputer Networks and Communications
- Partner nations
- ChinaAustraliaBangladesh
In The Last Decade
Yuequan Yang
43 papers receiving 554 citations
Peers
Comparison fields: 5 of 67
- Control and Systems Engineering 326
- Computer Networks and Communications 123
- Computer Vision and Pattern Recognition 102
- Computational Theory and Mathematics 101
- Plant Science 80
Countries citing papers authored by Yuequan Yang
This map shows the geographic impact of Yuequan Yang'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 Yuequan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuequan Yang more than expected).
Fields of papers citing papers by Yuequan Yang
This network shows the impact of papers produced by Yuequan Yang. 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 Yuequan Yang. The network helps show where Yuequan Yang may publish in the future.
Co-authorship network of co-authors of Yuequan Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuequan Yang. A scholar is included among the top collaborators of Yuequan Yang 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 Yuequan Yang. Yuequan Yang 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 | 7 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | Cross Cultural Comparative Research of Online Consumer Reviews Intentions | 1 |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 0 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | Direct adaptive fuzzy sliding mode control for a class of MIMO nonlinear systems | 1 |
About Yuequan Yang
Yuequan Yang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 49 papers that have together received 571 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (17 papers), Stability and Control of Uncertain Systems (10 papers) and Neural Networks Stability and Synchronization (8 papers). The work is most often cited by research in Control and Systems Engineering (326 citations), Computational Theory and Mathematics (101 citations) and Computer Networks and Communications (123 citations). Yuequan Yang has collaborated with scholars based in China, Australia and Bangladesh. Frequent co-authors include Tianping Zhang, Qing Zhu, Zhiqiang Cao, Fudong Li, Xiaocheng Shi, Xinghuo Yu, Aiguo Song, Yang Yi, Min Wang and Shuhan Chen. Their work appears in journals such as Advanced Functional Materials, IEEE Transactions on Automatic Control and Scientific Reports.
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.