Pengling Wang

971 total citations
35 papers, 687 citations indexed

About

Pengling Wang is a scholar working on Industrial and Manufacturing Engineering, Transportation and Mechanical Engineering. According to data from OpenAlex, Pengling Wang has authored 35 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Industrial and Manufacturing Engineering, 26 papers in Transportation and 18 papers in Mechanical Engineering. Recurrent topics in Pengling Wang's work include Railway Systems and Energy Efficiency (30 papers), Transportation Planning and Optimization (26 papers) and Railway Engineering and Dynamics (18 papers). Pengling Wang is often cited by papers focused on Railway Systems and Energy Efficiency (30 papers), Transportation Planning and Optimization (26 papers) and Railway Engineering and Dynamics (18 papers). Pengling Wang collaborates with scholars based in China, Netherlands and Switzerland. Pengling Wang's co-authors include Rob M.P. Goverde, Francesco Corman, Alessio Trivella, Lei Ma, Qingyuan Wang, Yongqiu Zhu, Nikola Bešinović, S.C. Wong, Shuguang Zhan and Siuming Lo and has published in prestigious journals such as European Journal of Operational Research, Energy and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Pengling Wang

34 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengling Wang China 14 615 431 390 121 74 35 687
Yeran Huang China 8 499 0.8× 353 0.8× 319 0.8× 91 0.8× 75 1.0× 9 614
Xuan Vu Australia 10 925 1.5× 641 1.5× 694 1.8× 160 1.3× 79 1.1× 14 1.0k
M. Domínguez Spain 7 453 0.7× 308 0.7× 323 0.8× 105 0.9× 34 0.5× 10 521
Pengfei Sun China 12 405 0.7× 210 0.5× 266 0.7× 147 1.2× 39 0.5× 84 587
Yu Yao China 11 329 0.5× 286 0.7× 120 0.3× 155 1.3× 121 1.6× 18 460
Leishan Zhou China 9 371 0.6× 380 0.9× 196 0.5× 177 1.5× 100 1.4× 31 555
Adrián Fernández-Rodríguez Spain 10 308 0.5× 208 0.5× 208 0.5× 110 0.9× 22 0.3× 19 393
Yixiang Yue China 11 283 0.5× 209 0.5× 137 0.4× 47 0.4× 61 0.8× 43 400
Xuekai Wang China 7 312 0.5× 186 0.4× 214 0.5× 59 0.5× 38 0.5× 14 526

Countries citing papers authored by Pengling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pengling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengling Wang. A scholar is included among the top collaborators of Pengling Wang 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 Pengling Wang. Pengling Wang 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.
Wang, Pengling, et al.. (2025). Fare system selection and line planning for new suburban rail lines considering the supply–demand interactions. Transportation Research Part C Emerging Technologies. 178. 105240–105240.
2.
Wang, Pengling, et al.. (2024). Robust optimization of train timetables with short-length and full-length services considering uncertain passenger volume and service choice behavior. Transportation Research Part C Emerging Technologies. 169. 104855–104855. 6 indexed citations
3.
Wang, Pengling, et al.. (2024). Transport capacity analysis for sharing-corridor metro lines under virtual coupling. Computers & Industrial Engineering. 192. 110217–110217. 4 indexed citations
4.
Wang, Pengling, et al.. (2024). Collaborative rescheduling of train timetables to relieve passenger congestions in an urban rail transit network: a rolling horizon approach. International Journal of Transportation Science and Technology. 19. 193–210. 3 indexed citations
5.
Wang, Pengling, et al.. (2024). Flexible rolling stock composition strategy in urban rail transit lines: The influences of various train units and station capacities. Transportation Research Part C Emerging Technologies. 162. 104609–104609. 2 indexed citations
6.
Wang, Pengling, et al.. (2023). Adaptability analysis methods of demand responsive transit: a review and future directions. Transport Reviews. 43(4). 676–697. 18 indexed citations
7.
Teng, Jing, et al.. (2023). Train rescheduling and platforming in large high-speed railway stations. International Journal of Transportation Science and Technology. 16. 100–118. 1 indexed citations
8.
Wang, Pengling, et al.. (2023). Rail transit express and local train schedule optimization considering hybrid rolling stock composition. International Journal of Rail Transportation. 12(6). 1104–1130. 1 indexed citations
9.
Wang, Pengling, et al.. (2022). An Experimental Analysis of Hierarchical Rail Traffic and Train Control in a Stochastic Environment. Journal of Advanced Transportation. 2022. 1–19. 1 indexed citations
10.
Wang, Pengling, Yongqiu Zhu, & Francesco Corman. (2022). Passenger-centric periodic timetable adjustment problem for the utilization of regenerative energy. Computers & Industrial Engineering. 172. 108578–108578. 15 indexed citations
11.
Zhan, Shuguang, Pengling Wang, S.C. Wong, & Siuming Lo. (2021). Energy-efficient high-speed train rescheduling during a major disruption. Transportation Research Part E Logistics and Transportation Review. 157. 102492–102492. 29 indexed citations
12.
Trivella, Alessio, Pengling Wang, & Francesco Corman. (2020). The Impact of Wind on Energy-Efficient Train Control. SSRN Electronic Journal. 1 indexed citations
13.
Wang, Pengling, et al.. (2019). A connected driver advisory system framework for merging freight trains. Transportation Research Part C Emerging Technologies. 105. 203–221. 11 indexed citations
14.
Wang, Pengling & Rob M.P. Goverde. (2017). Multi-train trajectory optimization for energy efficiency and delay recovery on single-track railway lines. Transportation Research Part B Methodological. 105. 340–361. 92 indexed citations
15.
Lin, Xuan, Qingyuan Wang, Pengling Wang, Pengfei Sun, & Xiaoyun Feng. (2017). The Energy-Efficient Operation Problem of a Freight Train Considering Long-Distance Steep Downhill Sections. Energies. 10(6). 794–794. 20 indexed citations
16.
Wang, Pengling & Rob M.P. Goverde. (2016). Train trajectory optimization of opposite trains on single-track railway lines. 23–31. 8 indexed citations
17.
Wang, Pengling & Rob M.P. Goverde. (2016). Two-Train Trajectory Optimization with a Green-Wave Policy. Transportation Research Record Journal of the Transportation Research Board. 2546(1). 112–120. 30 indexed citations
18.
Wang, Pengling, Rob M.P. Goverde, & Lei Ma. (2015). A Multiple-Phase Train Trajectory Optimization Method under Real-Time Rail Traffic Management. 771–776. 11 indexed citations
19.
Wang, Pengling, Qingyuan Wang, Lei Ma, & Xiaoyun Feng. (2013). Real-time train speed regulation with consideration of over-speed protection. Chinese Control Conference. 8141–8146. 1 indexed citations
20.
Wang, Pengling, et al.. (2012). Optimization analysis on the energy saving control for trains with adaptive genetic algorithm. 29. 439–443. 3 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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