Shan Xue
Impact in
- Computational Theory and Mathematics top 0.5%
- Adaptive Dynamic Programming Control
-
- Adaptive Control of Nonlinear Systems
Papers in
-
- Advanced Graph Neural Networks 15
- Reinforcement Learning in Robotics 10
-
- Adaptive Dynamic Programming Control 18
- Co-authors
- Biao LuoDerong LiuGuangquan ZhangJie LüHua ZuoVahid BehboodHao PengQinglai Wei
- Journals
- Neurocomputing (5 papers)Neural Networks (5 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Transactions on Industrial Informatics (3 papers)IEEE Transactions on Systems Man and Cybernetics Systems (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shan Xue
101 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Computational Theory and Mathematics 856
- Control and Systems Engineering 815
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 317
- Computer Networks and Communications 318
Countries citing papers authored by Shan Xue
This map shows the geographic impact of Shan Xue'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 Shan Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Xue more than expected).
Fields of papers citing papers by Shan Xue
This network shows the impact of papers produced by Shan Xue. 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 Shan Xue. The network helps show where Shan Xue may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Xue, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 6 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 24 | |
| 16 | 2020 | 29 | |
| 17 | 2019 | 94 | |
| 18 | 2019 | 81 | |
| 19 | Synchronization of a Duffing oscillator with a Van der Pol equation under sinusoidal constraints | 2018 | 4 |
| 20 | Passive-range estimation using near-field MVDR dual focused beamformers | 2005 | 1 |
About Shan Xue
Shan Xue is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Geology, having authored 109 papers that have together received 3.1k indexed citations. Recurring topics across this work include Adaptive Dynamic Programming Control (18 papers), Advanced Graph Neural Networks (15 papers), Reinforcement Learning in Robotics (10 papers), Frequency Control in Power Systems (9 papers), Complex Network Analysis Techniques (9 papers), Dynamics and Control of Mechanical Systems (6 papers), Video Surveillance and Tracking Methods (5 papers) and Vibration and Dynamic Analysis (5 papers). The work is most often cited by research in Computational Theory and Mathematics (856 citations), Control and Systems Engineering (815 citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (317 citations) and Computer Networks and Communications (318 citations). Shan Xue has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Biao Luo, Derong Liu, Guangquan Zhang, Jie Lü, Hua Zuo, Vahid Behbood, Hao Peng, Qinglai Wei, Bo Zhao and Jia Wu. Their work appears in journals such as Neurocomputing, Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Systems Man and Cybernetics Systems.
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.