Jiayuan Shan
- Aerospace Engineering top 2%
- Control and Systems Engineering top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Guidance and Control Systems (29 papers)Adaptive Control of Nonlinear Systems (16 papers)Distributed Control Multi-Agent Systems (16 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiayuan Shan
66 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 59
- Aerospace Engineering 599
- Control and Systems Engineering 407
- Computer Networks and Communications 327
- Artificial Intelligence 205
- Computer Vision and Pattern Recognition 135
Countries citing papers authored by Jiayuan Shan
This map shows the geographic impact of Jiayuan Shan'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 Jiayuan Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayuan Shan more than expected).
Fields of papers citing papers by Jiayuan Shan
This network shows the impact of papers produced by Jiayuan Shan. 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 Jiayuan Shan. The network helps show where Jiayuan Shan may publish in the future.
Co-authorship network of co-authors of Jiayuan Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Jiayuan Shan. A scholar is included among the top collaborators of Jiayuan Shan 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 Jiayuan Shan. Jiayuan Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 37 | |
| 10 | 104 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | DMOC approach to solve Goddard rocket problem in comparison with RPM | 1 |
| 17 | Application of adaptive Unscented Kalman Filter for angular velocity calculation in GFSINS | 2 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Adaptive nonlinear dynamic inversion control for airborne dispenser uncertain system | 1 |
About Jiayuan Shan
Jiayuan Shan is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computer Networks and Communications, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Guidance and Control Systems (29 papers), Adaptive Control of Nonlinear Systems (16 papers) and Distributed Control Multi-Agent Systems (16 papers). The work is most often cited by research in Aerospace Engineering (599 citations), Control and Systems Engineering (407 citations) and Computer Networks and Communications (327 citations). Jiayuan Shan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianan Wang, Chunyan Wang, Weihao Song, Ming Xin, Yadong Chen, Wei Dong, Zidong Wang, Shiyu Zhao, Ian R. Petersen and Xiuyun Meng. Their work appears in journals such as Automatica, IEEE Transactions on Signal Processing and Expert Systems with Applications.
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.