Qikun Shen
- Control and Systems Engineering top 0.2%
- Adaptive Control of Nonlinear Systems 45
- Fault Detection and Control Systems 22
- Advanced Control Systems Optimization 6
- Advanced Algorithms and Applications 6
- Computer Networks and Communications top 0.5%
- Neural Networks Stability and Synchronization 23
- Distributed Control Multi-Agent Systems 22
- Nonlinear Dynamics and Pattern Formation 7
- Computational Theory and Mathematics top 0.5%
- Adaptive Dynamic Programming Control 17
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
Qikun Shen
67 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 2.7k
- Computer Networks and Communications 1.6k
- Computational Theory and Mathematics 747
- Aerospace Engineering 283
- Artificial Intelligence 313
Countries citing papers authored by Qikun Shen
This map shows the geographic impact of Qikun Shen'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 Qikun Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qikun Shen more than expected).
Fields of papers citing papers by Qikun Shen
This network shows the impact of papers produced by Qikun Shen. 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 Qikun Shen. The network helps show where Qikun Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qikun Shen, 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 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 37 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 70 | |
| 13 | 2020 | 74 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 162 | |
| 16 | SLIDING MODE FAULT TOLERANT CONTROL WITH PRESCRIBED PERFORMANCE | 2017 | 20 |
| 17 | 2016 | 28 | |
| 18 | Adaptive dynamic surface control with unmodeled dynamics | 2012 | 2 |
| 19 | Adaptive fault-tolerant tracking control for a class of time-delayed chaotic systems with saturation input containing sector | 2012 | 2 |
| 20 | Integral variable structure fuzzy adaptive tracking control for a class of nonlinear systems | 2005 | 1 |
About Qikun Shen
Qikun Shen is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 79 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (45 papers), Neural Networks Stability and Synchronization (23 papers), Fault Detection and Control Systems (22 papers), Distributed Control Multi-Agent Systems (22 papers), Adaptive Dynamic Programming Control (17 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Advanced Control Systems Optimization (6 papers) and Advanced Algorithms and Applications (6 papers). The work is most often cited by research in Control and Systems Engineering (2.7k citations), Computer Networks and Communications (1.6k citations) and Computational Theory and Mathematics (747 citations). Qikun Shen has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Peng Shi, Bin Jiang, Vincent Cocquempot, Yan Shi, Tianping Zhang, Jun Zhao, Junwu Zhu, Yang Yi, Cheng‐Chew Lim and Shuoyu Wang. Their work appears in journals such as Journal of Hazardous Materials, IEEE Transactions on Industrial Electronics and Automatica.
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.