Yu Shen

2.7k total citations · 2 hit papers
92 papers, 2.0k citations indexed

About

Yu Shen is a scholar working on Transportation, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Yu Shen has authored 92 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Transportation, 29 papers in Electrical and Electronic Engineering and 19 papers in Automotive Engineering. Recurrent topics in Yu Shen's work include Transportation Planning and Optimization (23 papers), Urban Transport and Accessibility (17 papers) and Solid State Laser Technologies (16 papers). Yu Shen is often cited by papers focused on Transportation Planning and Optimization (23 papers), Urban Transport and Accessibility (17 papers) and Solid State Laser Technologies (16 papers). Yu Shen collaborates with scholars based in China, United States and Singapore. Yu Shen's co-authors include Jinhua Zhao, Xiaohu Zhang, Yuchuan Du, Hongmou Zhang, Fuwen Deng, Ning Pan, Zihao Xu, Kang Hua, João de Abreu e Silva and Luis Martínez and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Optics Letters and Optics Express.

In The Last Decade

Yu Shen

80 papers receiving 1.9k citations

Hit Papers

Understanding the usage of dockless bike sharing in Singa... 2018 2026 2020 2023 2018 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Understanding the usage of dockless bike sharing in Singapore
    2018 351 citations Yu Shen, Xiaohu Zhang et al. International Journal of Sustainable Transportation profile →
  2. Pavement distress detection and classification based on YOLO network
    2020 291 citations Yuchuan Du, Fuwen Deng et al. profile →

Peers

Yu Shen
Yunlong Zhang China
Wenbo Zhang China
Qun Chen China
Kun Gao China
Yuval Hadas Israel
Meng Meng China
Roberto Palacín United Kingdom
Francisco G. Benítez Spain
Yunlong Zhang China
Yu Shen
Citations per year, relative to Yu Shen Yu Shen (= 1×) peers Yunlong Zhang

Countries citing papers authored by Yu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shen. A scholar is included among the top collaborators of Yu Shen 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 Yu Shen. Yu Shen 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.
Shen, Yu, et al.. (2025). Self-calibration method for vehicle–road perception fusion in connected environments. Transportmetrica A Transport Science. 1–24.
2.
3.
Zhou, Peng, Yu Shen, Yuxiong Ji, & Yuchuan Du. (2025). Boarding stop inference with uncertain relationship between bus vehicles and mobile smart card readers. IET Intelligent Transport Systems. 19(1).
4.
Ji, Yuxiong, et al.. (2024). Urban passenger-and-package sharing transportation by e-hailing taxis: A simulation-based pricing analysis in shanghai. Transport Policy. 156. 138–151. 2 indexed citations
5.
Zhang, Surong, et al.. (2024). What causes Emergency Medical Services (EMS) delay? Unravel high-risk buildings using citywide ambulance trajectory data. Habitat International. 153. 103198–103198. 2 indexed citations
6.
Shen, Yu, et al.. (2023). Short-Term Bus Passenger Flow Prediction Based on Graph Diffusion Convolutional Recurrent Neural Network. Applied Sciences. 13(8). 4910–4910. 8 indexed citations
7.
Shen, Yu, et al.. (2023). Improving Autonomous Vehicle Visual Perception by Fusing Human Gaze and Machine Vision. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12716–12725. 6 indexed citations
8.
Deng, Fuwen, et al.. (2023). A dynamic self-improving ramp metering algorithm based on multi-agent deep reinforcement learning. Transportation Letters. 16(7). 649–657. 7 indexed citations
9.
Zhao, Cong, et al.. (2022). Identifying and correcting the errors of vehicle trajectories from roadside millimetre‐wave radars. IET Intelligent Transport Systems. 17(2). 418–434. 5 indexed citations
10.
Liu, Bing, Yu Tang, Yuxiong Ji, Yu Shen, & Yuchuan Du. (2021). A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data. Journal of Advanced Transportation. 2021. 1–13. 13 indexed citations
11.
Ji, Yuxiong, et al.. (2020). A Multimodal Passenger-and-Package Sharing Network for Urban Logistics. Journal of Advanced Transportation. 2020. 1–16. 23 indexed citations
12.
Shen, Yu, et al.. (2020). Assessing the Impacts of Autonomous Bus-on-Demand Based on Agent-Based Simulation: A Case Study of Fuyang, Zhejiang, China. Journal of Advanced Transportation. 2020. 1–15. 8 indexed citations
13.
Du, Yuchuan, et al.. (2019). Rapid Estimation of Road Friction for Anti-Skid Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 21(6). 2461–2470. 72 indexed citations
14.
Xu, Yang, Xiaohu Zhang, Wei Tu, et al.. (2019). Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system. Computers Environment and Urban Systems. 75. 184–203. 152 indexed citations
15.
Ji, Yuxiong, Yu Tang, Yu Shen, Yuchuan Du, & Wei Wang. (2019). An Integrated Approach for Tram Prioritization in Signalized Corridors. IEEE Transactions on Intelligent Transportation Systems. 21(6). 2386–2395. 8 indexed citations
16.
Shen, Yu, Xiaohu Zhang, & Jinhua Zhao. (2018). Understanding the usage of dockless bike sharing in Singapore. International Journal of Sustainable Transportation. 12(9). 686–700. 351 indexed citations breakdown →
17.
Shen, Yu, Jinhua Zhao, João de Abreu e Silva, & Luis Martínez. (2017). From accessibility improvement to land development: a comparative study on the impacts of Madrid-Seville high-speed rail. Transportation Letters. 9(4). 187–201. 10 indexed citations
18.
Zhao, Jinhua, et al.. (2016). Ghosts in the Machine: The Influence of Proximity to Past Rail on Current Auto Ownership. Transportation Research Board 95th Annual MeetingTransportation Research Board.
19.
Shen, Yu, Jinhua Zhao, João de Abreu e Silva, & Luis Martínez. (2015). Agglomeration and Diversification: Bilevel Analysis of 15-Year Impacts of Madrid-Seville High-Speed Rail. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Shen, Yu. (2011). A Marxian Optimal Growth Model of China : 1981-2005. Kyoto University Research Information Repository (Kyoto University). 185(2). 83–98. 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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