Xin Xu
Impact in
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- Robotic Path Planning Algorithms
- Control and Systems Engineering top 0.2%
- Traffic control and management
- Adaptive Control of Nonlinear Systems
Papers in
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- Adaptive Dynamic Programming Control 63
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- Reinforcement Learning in Robotics 79
- Machine Learning and ELM 13
- Co-authors
- Shiliang SunWei-Hua LinJunping ZhangCheng ChenKunfeng WangFei‐Yue WangDewen HuLei Zuo
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (14 papers)IEEE Transactions on Systems Man and Cybernetics Systems (13 papers)IEEE Transactions on Intelligent Transportation Systems (8 papers)CAAI Transactions on Intelligence Technology (8 papers)Information Sciences (7 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xin Xu
413 papers receiving 10.2k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Computer Vision and Pattern Recognition 2.5k
- Control and Systems Engineering 2.5k
- Transportation 694
- Automotive Engineering 1.2k
- Artificial Intelligence 3.0k
Countries citing papers authored by Xin Xu
This map shows the geographic impact of Xin Xu'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 Xin Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Xu more than expected).
Fields of papers citing papers by Xin Xu
This network shows the impact of papers produced by Xin Xu. 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 Xin Xu. The network helps show where Xin Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Xu, 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 | 9 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 29 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 25 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 11 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 41 | |
| 20 | 2022 | 34 |
About Xin Xu
Xin Xu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Automotive Engineering, having authored 465 papers that have together received 10.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (79 papers), Adaptive Dynamic Programming Control (63 papers), Robotic Path Planning Algorithms (36 papers), Autonomous Vehicle Technology and Safety (30 papers), Traffic control and management (21 papers), Adaptive Control of Nonlinear Systems (17 papers), Robotics and Sensor-Based Localization (14 papers) and Machine Learning and ELM (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Control and Systems Engineering (2.5k citations), Transportation (694 citations), Automotive Engineering (1.2k citations) and Artificial Intelligence (3.0k citations). Xin Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shiliang Sun, Wei-Hua Lin, Junping Zhang, Cheng Chen, Kunfeng Wang, Fei‐Yue Wang, Dewen Hu, Lei Zuo, Jing Zhao and Xijiong Xie. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Intelligent Transportation Systems, CAAI Transactions on Intelligence Technology and Information Sciences.
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.