Shan Bao

3.0k total citations
99 papers, 2.1k citations indexed

About

Shan Bao is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology and Automotive Engineering. According to data from OpenAlex, Shan Bao has authored 99 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Safety, Risk, Reliability and Quality, 56 papers in Social Psychology and 46 papers in Automotive Engineering. Recurrent topics in Shan Bao's work include Traffic and Road Safety (63 papers), Human-Automation Interaction and Safety (54 papers) and Autonomous Vehicle Technology and Safety (38 papers). Shan Bao is often cited by papers focused on Traffic and Road Safety (63 papers), Human-Automation Interaction and Safety (54 papers) and Autonomous Vehicle Technology and Safety (38 papers). Shan Bao collaborates with scholars based in United States, China and Sweden. Shan Bao's co-authors include James R. Sayer, Linda Ng Boyle, Bo Yu, David J. LeBlanc, Yuren Chen, Kazutoshi Nobukawa, Huei Peng, Christopher S. Pan, Fred Feng and Ding Zhao and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Shan Bao

93 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Bao United States 25 1000 996 728 483 318 99 2.1k
Gustav Markkula United Kingdom 29 1.0k 1.0× 1.3k 1.3× 1.6k 2.3× 409 0.8× 177 0.6× 96 2.5k
Haneen Farah Netherlands 30 1.0k 1.0× 1.4k 1.4× 801 1.1× 922 1.9× 617 1.9× 112 2.5k
Nengchao Lyu China 20 579 0.6× 584 0.6× 429 0.6× 374 0.8× 119 0.4× 82 1.3k
Stewart Birrell United Kingdom 29 735 0.7× 620 0.6× 1.2k 1.6× 183 0.4× 211 0.7× 95 2.7k
Marieke Martens Netherlands 30 1.1k 1.1× 1.7k 1.7× 2.6k 3.5× 262 0.5× 232 0.7× 103 3.2k
David A. Noyce United States 26 905 0.9× 1.9k 1.9× 753 1.0× 1.1k 2.4× 1.1k 3.3× 216 3.1k
Wassim G Najm United States 20 628 0.6× 699 0.7× 387 0.5× 323 0.7× 104 0.3× 76 1.2k
Yina Wu United States 24 632 0.6× 1.0k 1.0× 296 0.4× 572 1.2× 314 1.0× 50 1.5k
Wael Alhajyaseen Qatar 25 522 0.5× 1.4k 1.4× 568 0.8× 658 1.4× 598 1.9× 147 2.0k
Mike McDonald United Kingdom 17 1.0k 1.0× 735 0.7× 491 0.7× 1.5k 3.1× 969 3.0× 67 2.6k

Countries citing papers authored by Shan Bao

Since Specialization
Citations

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

Fields of papers citing papers by Shan Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Bao. A scholar is included among the top collaborators of Shan Bao 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 Shan Bao. Shan Bao 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.
Yu, Bo, et al.. (2025). Using a brain-like cognitive computational model to analyze the difference between desired speed and actual speed on rural highways for young drivers. Transportation Research Part F Traffic Psychology and Behaviour. 109. 880–896.
2.
Zhou, Feng, et al.. (2025). Electric vehicle users’ charging patterns and selection considerations at public charging stations. Transportation Research Part D Transport and Environment. 149. 105081–105081.
3.
Bao, Shan, Shu Yang, & Hongbo Wang. (2025). Robust fault-tolerant control for dynamic positioning vessels based on adaptive sliding mode control and control allocation. Ocean Engineering. 341. 122520–122520.
4.
5.
Yu, Bo, et al.. (2023). Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment. Engineering Applications of Artificial Intelligence. 130. 107727–107727. 9 indexed citations
6.
7.
Zhang, Chengxin, et al.. (2022). Design a sustainable micro-mobility future: trends and challenges in the US and EU. Journal of Engineering Design. 33(8-9). 587–606. 10 indexed citations
8.
Pradhan, Anuj K., et al.. (2022). Simulator evaluation of an intersection maneuver assist system with connected and automated vehicle technologies. Ergonomics. 66(7). 999–1014. 2 indexed citations
9.
Zhang, Yu, Linda Angell, & Shan Bao. (2021). A fallback mechanism or a commander? A discussion about the role and skill needs of future drivers within partially automated vehicles. Transportation Research Interdisciplinary Perspectives. 9. 100337–100337. 5 indexed citations
10.
Feng, Shuo, Yiheng Feng, Haowei Sun, et al.. (2020). Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies. IEEE Transactions on Intelligent Transportation Systems. 22(9). 5635–5647. 87 indexed citations
11.
Wang, Hexiang, Jian Zhang, Shan Bao, et al.. (2020). Preoperative MRI‐Based Radiomic Machine‐Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft‐Tissue Lesions: A Two‐Center Study. Journal of Magnetic Resonance Imaging. 52(3). 873–882. 55 indexed citations
12.
Bao, Shan, et al.. (2020). An examination of teen drivers’ car-following behavior under naturalistic driving conditions: With and without an advanced driving assistance system. Accident Analysis & Prevention. 147. 105762–105762. 40 indexed citations
13.
Feng, Fred, et al.. (2018). Drivers overtaking bicyclists—An examination using naturalistic driving data. Accident Analysis & Prevention. 115. 98–109. 44 indexed citations
14.
Bao, Shan, Anuj K. Pradhan, Michael J. Flannagan, & John M. Sullivan. (2016). Behavioral Adaptation to Advanced Driver Assistance Systems: A Literature Review. 5 indexed citations
15.
Bao, Shan, Anuj K. Pradhan, Michael J. Flannagan, & John M. Sullivan. (2016). Literature Review of Behavioral Adaptations to Advanced Driver Assistance Systems. 24 indexed citations
16.
Bao, Shan, et al.. (2015). Examination of drivers' cell phone use behavior at intersections by using naturalistic driving data. Journal of Safety Research. 54. 89.e29–93. 18 indexed citations
17.
Bao, Shan, et al.. (2015). How do drivers behave during indecision zone maneuvers?. Accident Analysis & Prevention. 96. 274–279. 20 indexed citations
18.
Sullivan, John M., et al.. (2014). Characteristics of turn signal use at intersections in baseline naturalistic driving. Accident Analysis & Prevention. 74. 1–7. 14 indexed citations
19.
LeBlanc, David J., et al.. (2011). Driver Acceptance and Behavioral Changes with an Integrated Crash Warning System: Key Findings from the IVBSS FOT. 1 indexed citations
20.
Bao, Shan. (2003). Principles and Applications of Speckle Image Correlation Digital Technique. Journal of Experimental Mechanics. 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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