Gongyuan Lu

509 total citations
25 papers, 340 citations indexed

About

Gongyuan Lu is a scholar working on Transportation, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Gongyuan Lu has authored 25 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Transportation, 12 papers in Automotive Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Gongyuan Lu's work include Transportation Planning and Optimization (20 papers), Railway Systems and Energy Efficiency (9 papers) and Traffic control and management (7 papers). Gongyuan Lu is often cited by papers focused on Transportation Planning and Optimization (20 papers), Railway Systems and Energy Efficiency (9 papers) and Traffic control and management (7 papers). Gongyuan Lu collaborates with scholars based in China, United States and Italy. Gongyuan Lu's co-authors include Xiaobo Liu, Yu Nie, Denghui Li, Qiyuan Peng, Kui Yang, Yiming Shao, Jin Xu, Xuesong Zhou, Yongxiang Zhang and Hongxiang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Gongyuan Lu

22 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gongyuan Lu China 9 191 168 133 125 75 25 340
Nadir Farhi France 11 205 1.1× 89 0.5× 146 1.1× 47 0.4× 113 1.5× 59 317
Marco Di Vaio Italy 4 85 0.4× 134 0.8× 161 1.2× 119 1.0× 40 0.5× 7 309
Krešimir Kušić Croatia 12 140 0.7× 110 0.7× 246 1.8× 52 0.4× 196 2.6× 19 367
Marilisa Botte Italy 11 213 1.1× 89 0.5× 58 0.4× 171 1.4× 89 1.2× 39 358
Zhichao Cao China 12 467 2.4× 219 1.3× 84 0.6× 308 2.5× 131 1.7× 36 579
Mahmood Mahmoodi Nesheli New Zealand 11 258 1.4× 191 1.1× 115 0.9× 39 0.3× 70 0.9× 21 333
Iwona Rybicka Poland 10 68 0.4× 115 0.7× 32 0.2× 98 0.8× 47 0.6× 32 298
Yafei Liu China 9 117 0.6× 115 0.7× 95 0.7× 306 2.4× 25 0.3× 31 407
Theo H. J. Muller Netherlands 12 504 2.6× 181 1.1× 204 1.5× 50 0.4× 248 3.3× 26 576

Countries citing papers authored by Gongyuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gongyuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gongyuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Gongyuan Lu. A scholar is included among the top collaborators of Gongyuan Lu 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 Gongyuan Lu. Gongyuan Lu 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.
Lu, Gongyuan, et al.. (2025). Refining arrival headway for high-speed trains approaching a large railway station: a speed profile intervention approach. SHILAP Revista de lepidopterología. 33(3). 496–520.
2.
Lu, Gongyuan, et al.. (2024). A Hierarchical Approach for Integrating Merging Sequencing and Trajectory Optimization for Connected and Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems. 25(7). 7552–7567. 5 indexed citations
3.
Zhang, Hongxiang, Gongyuan Lu, Yingqian Zhang, Andrea D’Ariano, & Yaoxin Wu. (2024). Railcar itinerary optimization in railway marshalling yards: A graph neural network based deep reinforcement learning method. Transportation Research Part C Emerging Technologies. 171. 104970–104970. 3 indexed citations
4.
Zhang, Hongxiang, et al.. (2023). A multi-agent simulation based train platforming research for facilitating passenger transfer in a high-speed railway station. Simulation Modelling Practice and Theory. 130. 102856–102856. 3 indexed citations
5.
Liu, Xiaobo, et al.. (2023). A Planning Control Strategy Based on Dynamic Safer Buffer to Avoid Traffic Collisions in an Emergency for CAVs at Nonsignalized Intersections. Journal of Transportation Engineering Part A Systems. 149(8). 2 indexed citations
6.
Lu, Gongyuan, Ning Jia, Xiaobo Liu, & Yu Nie. (2022). Train platforming and rescheduling with flexible interlocking mechanisms: An aggregate approach. Transportation Research Part E Logistics and Transportation Review. 159. 102622–102622. 19 indexed citations
7.
Lu, Gongyuan, et al.. (2022). Optimizing total passenger waiting time in an urban rail network: A passenger flow guidance strategy based on a multi-agent simulation approach. Simulation Modelling Practice and Theory. 117. 102510–102510. 18 indexed citations
8.
Zhang, Hongxiang, et al.. (2022). A hybrid framework for synchronized passenger and train traffic simulation in an urban rail transit network. International Journal of Rail Transportation. 11(6). 912–941. 7 indexed citations
9.
Lu, Gongyuan, et al.. (2021). Are autonomous vehicles better off without signals at intersections? A comparative computational study. Transportation Research Part B Methodological. 155. 26–46. 27 indexed citations
10.
Lu, Gongyuan, et al.. (2021). Are autonomous vehicles better off without signals at intersections? A comparative computational study. SSRN Electronic Journal. 9 indexed citations
11.
Zhang, Yongxiang, et al.. (2021). Integrated line planning and train timetabling through price-based cross-resolution feedback mechanism. Transportation Research Part B Methodological. 155. 240–277. 50 indexed citations
12.
Peng, Qiyuan, et al.. (2020). Passenger Demand-Oriented High-Speed Train Stop Planning with Service-Node Features Analysis. Journal of Advanced Transportation. 2020. 1–13. 2 indexed citations
13.
Lu, Gongyuan, et al.. (2020). A Matheuristic Iterative Approach for Profit-Oriented Line Planning Applied to the Chinese High-Speed Railway Network. Journal of Advanced Transportation. 2020. 1–18. 5 indexed citations
14.
Chen, Peng, et al.. (2020). A microscopic agent-based simulation for real-time dispatching problem of a busy railway passenger station. Iris (Roma Tre University). 1–7. 4 indexed citations
15.
Lu, Gongyuan, Yu Nie, Xiaobo Liu, & Denghui Li. (2019). Trajectory-based traffic management inside an autonomous vehicle zone. Transportation Research Part B Methodological. 120. 76–98. 65 indexed citations
16.
Zhang, Hongxiang, et al.. (2019). Machine Learning based integrated pedestrian facilities planning and staff assignment problem in transfer stations. 387–408. 2 indexed citations
17.
Liu, Xiaobo, et al.. (2019). Coordinated management and control of autonomous traffic systems. Chinese Science Bulletin (Chinese Version). 65(6). 434–441. 4 indexed citations
18.
Lu, Gongyuan, et al.. (2018). Optimizing resource recharging location-routing plans: A resource-space-time network modeling framework for railway locomotive refueling applications. Computers & Industrial Engineering. 127. 1241–1258. 28 indexed citations
19.
Lu, Gongyuan, et al.. (2009). The Multi-Agent Model of Railway Station Operation Simulation System. 8. 362–367.
20.
Lu, Gongyuan, et al.. (2009). Research on the Effect of Rail Transit on Transportation Hub Based on Lotka-Volterra Model. Logistics. 4571–4576. 1 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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