Shaopeng Zhong

712 total citations
32 papers, 484 citations indexed

About

Shaopeng Zhong is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Shaopeng Zhong has authored 32 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Transportation, 12 papers in Automotive Engineering and 12 papers in Building and Construction. Recurrent topics in Shaopeng Zhong's work include Transportation Planning and Optimization (24 papers), Urban Transport and Accessibility (16 papers) and Transportation and Mobility Innovations (10 papers). Shaopeng Zhong is often cited by papers focused on Transportation Planning and Optimization (24 papers), Urban Transport and Accessibility (16 papers) and Transportation and Mobility Innovations (10 papers). Shaopeng Zhong collaborates with scholars based in China, Denmark and United States. Shaopeng Zhong's co-authors include Yu Jiang, Feng Xiao, Otto Anker Nielsen, Max Bushell, Zhong Wang, Allan Larsen, Alexander V. Prishchepov, Thomas Alexander Sick Nielsen, Jinchao Song and Chunli Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and European Journal of Operational Research.

In The Last Decade

Shaopeng Zhong

28 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaopeng Zhong China 12 285 165 161 87 67 32 484
Georgia Aifadopoulou Greece 14 400 1.4× 209 1.3× 168 1.0× 64 0.7× 54 0.8× 52 634
Pasquale Carotenuto Italy 10 217 0.8× 98 0.6× 186 1.2× 64 0.7× 138 2.1× 26 454
Binglei Xie China 12 212 0.7× 117 0.7× 78 0.5× 34 0.4× 50 0.7× 42 379
Gu Yu China 7 328 1.2× 114 0.7× 155 1.0× 65 0.7× 37 0.6× 24 556
Lavanya Marla United States 8 259 0.9× 103 0.6× 118 0.7× 25 0.3× 62 0.9× 28 447
Judith Y.T. Wang United Kingdom 15 609 2.1× 206 1.2× 250 1.6× 167 1.9× 60 0.9× 29 755
Mahdieh Allahviranloo United States 12 301 1.1× 153 0.9× 178 1.1× 37 0.4× 100 1.5× 34 464
Maddalena Nonato Italy 13 214 0.8× 102 0.6× 237 1.5× 59 0.7× 153 2.3× 48 505
Francisco A. Ortega Spain 14 430 1.5× 158 1.0× 214 1.3× 94 1.1× 286 4.3× 35 655
Shanjiang Zhu United States 15 699 2.5× 215 1.3× 231 1.4× 92 1.1× 17 0.3× 48 847

Countries citing papers authored by Shaopeng Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Shaopeng Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaopeng Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Shaopeng Zhong. A scholar is included among the top collaborators of Shaopeng Zhong 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 Shaopeng Zhong. Shaopeng Zhong 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.
Song, Yan, et al.. (2025). Revitalizing Cities: The 5R Framework Approach to Urban Retrofitting and Big Data Insights. Growth and Change. 56(1). 1 indexed citations
2.
Zhong, Shaopeng, et al.. (2025). Optimizing electric bus charging station locations: An integrated land-use and transportation approach. Applied Energy. 401. 126649–126649.
3.
Tang, Tianli, et al.. (2024). Accounting for taxi service conditions in estimating route travel time from floating car data using Markov chain model. SHILAP Revista de lepidopterología. 3(4). 100172–100172.
5.
Wang, Wenyuan, et al.. (2024). A graph-based approach for integrating massive data in container terminals with application to scheduling problem. International Journal of Production Research. 62(16). 5945–5965. 5 indexed citations
6.
Zhong, Shaopeng, et al.. (2023). Joint optimal pricing strategy of shared autonomous vehicles and road congestion pricing: A regional accessibility perspective. Cities. 146. 104742–104742. 5 indexed citations
7.
Zhong, Shaopeng, Yu Jiang, Simon Hu, et al.. (2023). Energy and environmental impacts of shared autonomous vehicles under different pricing strategies. SHILAP Revista de lepidopterología. 3(1). 19 indexed citations
8.
Cui, Mengying, et al.. (2023). The evolution of spatial equity of high-speed rail accessibility in China: An operation frequency based approach. International Journal of Sustainable Transportation. 17(12). 1265–1277. 4 indexed citations
9.
Zhong, Shaopeng, et al.. (2022). Logic-Driven Traffic Big Data Analytics. 10 indexed citations
10.
Zhong, Shaopeng, Yu Jiang, & Otto Anker Nielsen. (2021). Lexicographic multi-objective road pricing optimization considering land use and transportation effects. European Journal of Operational Research. 298(2). 496–509. 19 indexed citations
11.
Zhong, Wang, Safdar Muhammad, Shaopeng Zhong, Jianrong Liu, & Feng Xiao. (2021). Public Preferences of Shared Autonomous Vehicles in Developing Countries: A Cross-National Study of Pakistan and China. Journal of Advanced Transportation. 2021. 1–19. 44 indexed citations
12.
Xiao, Feng, et al.. (2020). DNEAT: A novel dynamic node-edge attention network for origin-destination demand prediction. Transportation Research Part C Emerging Technologies. 122. 102851–102851. 52 indexed citations
13.
Zhong, Shaopeng, et al.. (2020). Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Variability. Journal of Transportation Engineering Part A Systems. 147(1). 15 indexed citations
14.
Guo, Jin, Shaopeng Zhong, Fan Yang, Jian Zhang, & Bin Ran. (2019). Spatial and Temporal Distribution Model for Travel Origin-Destination Based on Multi-Source Data. CICTP 2019. 5280–5292. 2 indexed citations
15.
Zhong, Shaopeng, Xiantao Xiao, Max Bushell, & Hui Sun. (2017). Optimal Road Congestion Pricing for Both Traffic Efficiency and Safety under Demand Uncertainty. Journal of Transportation Engineering Part A Systems. 143(4). 16 indexed citations
16.
Zhong, Shaopeng, et al.. (2015). Distinguishing the land use effects of road pricing based on the urban form attributes. Transportation Research Part A Policy and Practice. 74. 44–58. 23 indexed citations
17.
Zhong, Shaopeng. (2013). A stochastic system optimum congestion pricing model under endogenous equilibrated market penetration and compliance rate of ATIS. Systems Engineering - Theory & Practice. 1 indexed citations
18.
Zhong, Shaopeng, et al.. (2013). Directional lane‐allocation concerning demand uncertainty. IET Intelligent Transport Systems. 7(4). 380–387. 2 indexed citations
19.
Zhong, Shaopeng, et al.. (2012). A Reliability-Based Stochastic System Optimum Congestion Pricing Model Under ATIS with Endogenous Market Penetration and Compliance Rate. Transportation Research Board 91st Annual MeetingTransportation Research Board.
20.
Zhong, Shaopeng & Wei Deng. (2010). Path travel time reliability-based stochastic system optimum congestion pricing model. Systems Engineering - Theory & Practice. 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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