Lu Xing

1.2k total citations · 1 hit paper
34 papers, 933 citations indexed

About

Lu Xing is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Lu Xing has authored 34 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Safety, Risk, Reliability and Quality, 18 papers in Control and Systems Engineering and 16 papers in Automotive Engineering. Recurrent topics in Lu Xing's work include Traffic and Road Safety (26 papers), Traffic control and management (18 papers) and Autonomous Vehicle Technology and Safety (11 papers). Lu Xing is often cited by papers focused on Traffic and Road Safety (26 papers), Traffic control and management (18 papers) and Autonomous Vehicle Technology and Safety (11 papers). Lu Xing collaborates with scholars based in China, United States and Hong Kong. Lu Xing's co-authors include Ye Li, Hao Wang, Wei Wang, Shanwen Liu, Jie He, Zhibin Li, Wei Wang, Mohamed Abdel‐Aty, Chengcheng Xu and Ou Zheng and has published in prestigious journals such as PLoS ONE, International Journal of Hydrogen Energy and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Lu Xing

32 papers receiving 916 citations

Hit Papers

Key influencing factors on hydrogen storage and transport... 2025 2026 2025 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Xing China 15 594 463 454 283 277 34 933
Shouen Fang China 15 394 0.7× 528 1.1× 360 0.8× 237 0.8× 341 1.2× 48 898
Ramin Arvin United States 17 356 0.6× 677 1.5× 595 1.3× 301 1.1× 269 1.0× 32 1.1k
Kejun Long China 12 285 0.5× 224 0.5× 213 0.5× 214 0.8× 194 0.7× 55 615
Linheng Li China 14 468 0.8× 239 0.5× 426 0.9× 159 0.6× 252 0.9× 55 703
Samer H. Hamdar United States 17 805 1.4× 487 1.1× 489 1.1× 527 1.9× 308 1.1× 47 1.1k
Da Yang China 13 509 0.9× 192 0.4× 416 0.9× 234 0.8× 258 0.9× 39 760
Douglas Gettman United States 12 948 1.6× 636 1.4× 316 0.7× 546 1.9× 588 2.1× 31 1.2k
Huizhao Tu China 18 410 0.7× 175 0.4× 214 0.5× 659 2.3× 396 1.4× 61 963
Gowri Asaithambi India 16 512 0.9× 349 0.8× 260 0.6× 270 1.0× 254 0.9× 35 674
Konstantinos Mattas Italy 19 902 1.5× 242 0.5× 796 1.8× 507 1.8× 311 1.1× 44 1.2k

Countries citing papers authored by Lu Xing

Since Specialization
Citations

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

Fields of papers citing papers by Lu Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Xing. A scholar is included among the top collaborators of Lu Xing 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 Lu Xing. Lu Xing 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.
Xing, Lu, et al.. (2026). Robust hydrogen supply chain network design for transport sector under demand uncertainty:A case study. Results in Engineering. 29. 109178–109178.
2.
Wu, Dan, et al.. (2025). A framework for real-time traffic risk prediction incorporating cost-sensitive learning and dynamic thresholds. Accident Analysis & Prevention. 218. 108087–108087. 1 indexed citations
3.
Xing, Lu, et al.. (2025). Key influencing factors on hydrogen storage and transportation costs: A systematic literature review. International Journal of Hydrogen Energy. 105. 308–325. 30 indexed citations breakdown →
4.
Xing, Lu, et al.. (2025). Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments. PLoS ONE. 20(4). e0320578–e0320578. 1 indexed citations
5.
Wu, Wei, et al.. (2024). Enhancing intersection safety in autonomous traffic: A grid-based approach with risk quantification. Accident Analysis & Prevention. 200. 107559–107559. 3 indexed citations
6.
Li, Ye, et al.. (2023). A hybrid deep learning framework for conflict prediction of diverse merge scenarios at roundabouts. Engineering Applications of Artificial Intelligence. 130. 107705–107705. 8 indexed citations
8.
Xing, Lu, et al.. (2023). A Modified Latent Dirichlet Allocation Topic Approach for Driving Style Exploration Using Large-Scale Ride-Hailing GPS Data. Journal of Advanced Transportation. 2023. 1–18. 1 indexed citations
9.
Xing, Lu, et al.. (2023). A temporal analysis of crash injury severities in multivehicle crashes involving distracted and non-distracted driving on tollways. Accident Analysis & Prevention. 184. 107008–107008. 15 indexed citations
10.
Xing, Lu, et al.. (2023). Data generation for connected and automated vehicle tests using deep learning models. Accident Analysis & Prevention. 190. 107192–107192. 11 indexed citations
11.
Dong, Changyin, et al.. (2023). Iterative learning control for lane-changing trajectories upstream off-ramp bottlenecks and safety evaluation. Accident Analysis & Prevention. 183. 106970–106970. 14 indexed citations
12.
Li, Guangtao, Dianyao Gong, Lu Xing, & Dianhua Zhang. (2021). Ensemble Learning Based Methods for Crown Prediction of Hot-Rolled Strip. ISIJ International. 61(5). 1603–1613. 33 indexed citations
13.
Xing, Lu, Jie He, Mohamed Abdel‐Aty, Yina Wu, & Jinghui Yuan. (2020). Time-varying Analysis of Traffic Conflicts at the Upstream Approach of Toll Plaza. Accident Analysis & Prevention. 141. 105539–105539. 30 indexed citations
14.
Zhang, Changjian, Jie He, Mark King, et al.. (2020). A crash risk identification method for freeway segments with horizontal curvature based on real-time vehicle kinetic response. Accident Analysis & Prevention. 150. 105911–105911. 18 indexed citations
15.
Zhang, Chen, Jie He, Ziyang Liu, Lu Xing, & Yinhai Wang. (2019). Travel demand and distance analysis for free-floating car sharing based on deep learning method. PLoS ONE. 14(10). e0223973–e0223973. 9 indexed citations
16.
Xing, Lu, Jie He, Mohamed Abdel‐Aty, et al.. (2019). Examining traffic conflicts of up stream toll plaza area using vehicles’ trajectory data. Accident Analysis & Prevention. 125. 174–187. 93 indexed citations
17.
Li, Ye, Chengcheng Xu, Lu Xing, & Wei Wang. (2017). Evaluation of Impacts of Different Car-Following Types on Rear-End Crash Risk at Freeway Weaving Sections Using Vehicle Trajectory Data. Transportation Research Board 96th Annual MeetingTransportation Research Board. 4 indexed citations
18.
Li, Ye, Zhibin Li, Hao Wang, Wei Wang, & Lu Xing. (2017). Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways. Accident Analysis & Prevention. 104. 137–145. 170 indexed citations
19.
Li, Ye, et al.. (2017). Longitudinal safety evaluation of electric vehicles with the partial wireless charging lane on freeways. Accident Analysis & Prevention. 111. 133–141. 16 indexed citations
20.
Li, Ye, et al.. (2016). Evaluation of the impacts of cooperative adaptive cruise control on reducing rear-end collision risks on freeways. Accident Analysis & Prevention. 98. 87–95. 184 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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