Xishun Liao

846 total citations
23 papers, 519 citations indexed

About

Xishun Liao is a scholar working on Automotive Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Xishun Liao has authored 23 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Automotive Engineering, 14 papers in Control and Systems Engineering and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Xishun Liao's work include Traffic control and management (14 papers), Autonomous Vehicle Technology and Safety (11 papers) and Vehicle emissions and performance (6 papers). Xishun Liao is often cited by papers focused on Traffic control and management (14 papers), Autonomous Vehicle Technology and Safety (11 papers) and Vehicle emissions and performance (6 papers). Xishun Liao collaborates with scholars based in United States, China and Switzerland. Xishun Liao's co-authors include Guoyuan Wu, Matthew Barth, Kyungtae Han, Ziran Wang, Xuanpeng Zhao, Prashant Kumar Tiwari, Kanok Boriboonsomsin, Rohit Kumar Gupta, BaekGyu Kim and Prashant Tiwari and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal and Transportation Research Part C Emerging Technologies.

In The Last Decade

Xishun Liao

22 papers receiving 513 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xishun Liao United States 11 255 197 92 89 73 23 519
Xuanpeng Zhao United States 8 165 0.6× 137 0.7× 83 0.9× 82 0.9× 54 0.7× 14 364
Prashant Tiwari India 9 182 0.7× 171 0.9× 117 1.3× 60 0.7× 54 0.7× 19 487
Abdelkader El Kamel France 12 232 0.9× 298 1.5× 59 0.6× 70 0.8× 95 1.3× 32 468
Szilárd Aradi Hungary 14 301 1.2× 253 1.3× 53 0.6× 68 0.8× 84 1.2× 78 553
Balázs Varga Hungary 11 144 0.6× 170 0.9× 49 0.5× 106 1.2× 87 1.2× 49 415
Yukun Fang China 10 168 0.7× 187 0.9× 19 0.2× 116 1.3× 54 0.7× 19 432
Meng Lu China 12 219 0.9× 131 0.7× 28 0.3× 61 0.7× 70 1.0× 54 518
Yangxin Lin China 7 144 0.6× 195 1.0× 28 0.3× 56 0.6× 161 2.2× 11 385

Countries citing papers authored by Xishun Liao

Since Specialization
Citations

This map shows the geographic impact of Xishun Liao'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 Xishun Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xishun Liao more than expected).

Fields of papers citing papers by Xishun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xishun Liao. 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 Xishun Liao. The network helps show where Xishun Liao may publish in the future.

Co-authorship network of co-authors of Xishun Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xishun Liao. A scholar is included among the top collaborators of Xishun Liao 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 Xishun Liao. Xishun Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liao, Xishun, et al.. (2025). Learning universal human mobility patterns with a foundation model for cross-domain data fusion. Transportation Research Part C Emerging Technologies. 180. 105311–105311.
2.
Han, Xu, Zonglin Meng, Xin Xia, et al.. (2024). Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0. IEEE Transactions on Intelligent Vehicles. 9(1). 39–47. 32 indexed citations
3.
Stanford, C., et al.. (2024). NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks. eScholarship (California Digital Library). 68–78. 2 indexed citations
4.
Liao, Xishun, Matthew Barth, Amr Abdelraouf, et al.. (2024). A Review of Personalization in Driving Behavior: Dataset, Modeling, and Validation. IEEE Transactions on Intelligent Vehicles. 10(2). 1241–1262. 6 indexed citations
5.
Liao, Xishun, et al.. (2024). Semantic Trajectory Data Mining with LLM-Informed POI Classification. 207–213. 3 indexed citations
6.
Liu, Yifan, et al.. (2024). Mobility AI Agents and Networks. IEEE Transactions on Intelligent Vehicles. 9(7). 5124–5129. 2 indexed citations
7.
Ji, Ang, et al.. (2024). Game Theoretic Application to Intersection Management: A Literature Review. IEEE Transactions on Intelligent Vehicles. 10(4). 2589–2607. 16 indexed citations
8.
Liao, Xishun, et al.. (2023). A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents. Transportation Research Part D Transport and Environment. 117. 103664–103664. 7 indexed citations
9.
Liao, Xishun, Amr Abdelraouf, Kyungtae Han, et al.. (2023). Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. 4675–4682. 3 indexed citations
10.
Zhao, Xuanpeng, Xishun Liao, Guoyuan Wu, Kanok Boriboonsomsin, & Matthew Barth. (2023). Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach. 4297–4302. 1 indexed citations
11.
Liao, Xishun, Amr Abdelraouf, Kyungtae Han, et al.. (2023). Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. 4428–4435. 3 indexed citations
12.
Liao, Xishun, Xuanpeng Zhao, Ziran Wang, et al.. (2023). Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. IEEE Internet of Things Journal. 10(15). 13235–13246. 52 indexed citations
13.
Liao, Xishun, Guoyuan Wu, Matthew Barth, Rohit Kumar Gupta, & Kyungtae Han. (2023). Exploring Vehicular Interaction from Trajectories Based on Granger Causality. 1–7. 2 indexed citations
14.
Liao, Xishun, Ziran Wang, Xuanpeng Zhao, et al.. (2022). Online Prediction of Lane Change with a Hierarchical Learning-Based Approach. 2022 International Conference on Robotics and Automation (ICRA). 948–954. 16 indexed citations
15.
Wu, Guoyuan, et al.. (2022). A Systematic Review of Autonomous Emergency Braking System: Impact Factor, Technology, and Performance Evaluation. Journal of Advanced Transportation. 2022. 1–13. 21 indexed citations
16.
Zhao, Xuanpeng, Xishun Liao, Ziran Wang, et al.. (2022). Co-Simulation Platform for Modeling and Evaluating Connected and Automated Vehicles and Human Behavior in Mixed Traffic. 5(4). 313–326. 18 indexed citations
17.
Liao, Xishun, et al.. (2022). Driver Profile Modeling Based on Driving Style, Personality Traits, and Mood States. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 709–716. 13 indexed citations
18.
Wang, Ziran, Xishun Liao, Xuanpeng Zhao, et al.. (2020). A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. 1–6. 98 indexed citations
19.
Wei, Zhensong, Yu Jiang, Xishun Liao, et al.. (2020). End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8 indexed citations
20.
Wang, Ziran, Xishun Liao, David Oswald, et al.. (2020). Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. IEEE Transactions on Intelligent Vehicles. 5(4). 738–749. 73 indexed citations

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.

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