Shuai Ling

567 total citations · 1 hit paper
25 papers, 410 citations indexed

About

Shuai Ling is a scholar working on Transportation, Automotive Engineering and Economics and Econometrics. According to data from OpenAlex, Shuai Ling has authored 25 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Transportation, 9 papers in Automotive Engineering and 5 papers in Economics and Econometrics. Recurrent topics in Shuai Ling's work include Transportation Planning and Optimization (12 papers), Urban Transport and Accessibility (10 papers) and Transportation and Mobility Innovations (9 papers). Shuai Ling is often cited by papers focused on Transportation Planning and Optimization (12 papers), Urban Transport and Accessibility (10 papers) and Transportation and Mobility Innovations (9 papers). Shuai Ling collaborates with scholars based in China, United States and Australia. Shuai Ling's co-authors include Shoufeng Ma, Ning Jia, Ning Zhu, Haijie Wang, Zhenhua Zhang, Yanchao Feng, Wang Yao, Chenyi Fu, Yongxi Huang and Zhengbing He and has published in prestigious journals such as Journal of Environmental Management, Transportation Research Part C Emerging Technologies and Transportation Research Part B Methodological.

In The Last Decade

Shuai Ling

24 papers receiving 398 citations

Hit Papers

Transportation infrastructure upgrading and green develop... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuai Ling China 9 213 94 93 86 69 25 410
Ilaria Henke Italy 12 291 1.4× 103 1.1× 136 1.5× 82 1.0× 20 0.3× 42 570
Omid M. Rouhani United States 13 250 1.2× 155 1.6× 92 1.0× 120 1.4× 154 2.2× 37 602
Rocío Cascajo Jiménez Spain 10 317 1.5× 119 1.3× 111 1.2× 73 0.8× 20 0.3× 22 430
Guenter Emberger Austria 12 378 1.8× 264 2.8× 106 1.1× 60 0.7× 34 0.5× 49 536
Stefanie Peer Austria 14 409 1.9× 189 2.0× 125 1.3× 156 1.8× 60 0.9× 36 542
Taka Morikawa Japan 8 300 1.4× 98 1.0× 115 1.2× 260 3.0× 54 0.8× 19 591
Paul Pfaffenbichler Austria 11 262 1.2× 185 2.0× 60 0.6× 57 0.7× 27 0.4× 44 438
Annalia Bernardini Belgium 3 136 0.6× 45 0.5× 85 0.9× 34 0.4× 23 0.3× 7 358
Eleni Bardaka United States 12 304 1.4× 90 1.0× 115 1.2× 95 1.1× 26 0.4× 36 528

Countries citing papers authored by Shuai Ling

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Ling. A scholar is included among the top collaborators of Shuai Ling 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 Shuai Ling. Shuai Ling 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.
Jia, Ning, et al.. (2025). Assessing the applicability of the 15-minute city: Insights from a spatial accessibility perspective. Transportation Research Part A Policy and Practice. 199. 104579–104579.
2.
Jia, Ning, et al.. (2024). Social norms at crosswalks: Impact on pedestrian-yielding behavior and nudge intervention effectiveness. Transportation Research Part A Policy and Practice. 192. 104342–104342. 2 indexed citations
3.
Ling, Shuai, et al.. (2024). Transportation infrastructure upgrading and green development efficiency: Empirical analysis with double machine learning method. Journal of Environmental Management. 358. 120922–120922. 84 indexed citations breakdown →
4.
Liu, Junxiao, et al.. (2024). A collaborative governance model for electric vehicle charging infrastructure incorporating policy evaluation and feedback. Utilities Policy. 90. 101819–101819. 3 indexed citations
5.
Ling, Shuai, et al.. (2024). On the dynamic vulnerability of an urban rail transit system and the impact of human mobility. Journal of Transport Geography. 116. 103850–103850. 11 indexed citations
6.
Zhong, Shiquan, et al.. (2024). A barrier to the promotion of app-based ridesplitting: Travelers’ ambiguity aversion in mode choice. Transportation Research Part A Policy and Practice. 181. 103971–103971. 3 indexed citations
7.
Ling, Shuai, et al.. (2023). Understanding the motivational mechanisms behind the usage frequency of ride-hailing during COVID-19 pandemic. Frontiers in Public Health. 10. 1097885–1097885. 2 indexed citations
8.
Schonfeld, Paul, et al.. (2023). Optimization of differentiated fares and subsidies for different urban rail transit users. Computers & Industrial Engineering. 179. 109144–109144. 5 indexed citations
9.
Jia, Ning, et al.. (2023). The effect of the ‘yield to pedestrians’ policy on risky pedestrian behaviors: Is it a ‘two-edged sword’?. Transportation Research Part A Policy and Practice. 178. 103870–103870. 6 indexed citations
10.
Jia, Ning, et al.. (2022). Prediction of pedestrians’ wait-or-go decision using trajectory data based on gradient boosting decision tree. Transportmetrica B Transport Dynamics. 10(1). 693–717. 10 indexed citations
11.
Ling, Shuai, et al.. (2022). Cellular automaton model with the multi-anticipative effect to reproduce the empirical findings of Kerner’s three-phase traffic theory. Physica A Statistical Mechanics and its Applications. 596. 127162–127162. 8 indexed citations
12.
Zhong, Shiquan, et al.. (2022). How to promote the transition from solo driving to mobility services delivery? An empirical study focusing on ridesharing. Transport Policy. 129. 176–187. 7 indexed citations
13.
Li, Lei, et al.. (2022). Ecological Efficiency of Urban Industrial Land in Metropolitan Areas: Evidence from China. Land. 11(1). 104–104. 17 indexed citations
14.
Zhang, Jian, et al.. (2021). Method for Fast Map Construction Based on GPS Data and Compressed Grid Algorithm. Land. 10(12). 1322–1322. 4 indexed citations
15.
Ling, Shuai, Shoufeng Ma, & Ning Jia. (2021). Sustainable urban transportation development in China: A behavioral perspective. Frontiers of Engineering Management. 9(1). 16–30. 36 indexed citations
16.
Ling, Shuai, et al.. (2019). A modified lattice model of traffic flow with the consideration of the downstream traffic condition. Modern Physics Letters B. 33(2). 1950008–1950008. 5 indexed citations
17.
Jia, Ning, et al.. (2018). Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice – A cross-city study in China. Transportation Research Part A Policy and Practice. 111. 108–118. 73 indexed citations
18.
Fu, Chenyi, Ning Zhu, Shuai Ling, Shoufeng Ma, & Yongxi Huang. (2016). Heterogeneous sensor location model for path reconstruction. Transportation Research Part B Methodological. 91. 77–97. 55 indexed citations
19.
Ling, Shuai, et al.. (2016). The impact of bus priority policies on peak commuters behavior: An agent-based modelling perspective. Filomat. 30(15). 4101–4110. 2 indexed citations
20.
Zhu, Ning, et al.. (2015). Bus service time estimation model for a curbside bus stop. Transportation Research Part C Emerging Technologies. 57. 103–121. 40 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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