Shoushuo Wang

569 total citations
25 papers, 397 citations indexed

About

Shoushuo Wang is a scholar working on Safety, Risk, Reliability and Quality, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Shoushuo Wang has authored 25 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Safety, Risk, Reliability and Quality, 20 papers in Social Psychology and 5 papers in Control and Systems Engineering. Recurrent topics in Shoushuo Wang's work include Traffic and Road Safety (21 papers), Safety Warnings and Signage (16 papers) and Human-Automation Interaction and Safety (15 papers). Shoushuo Wang is often cited by papers focused on Traffic and Road Safety (21 papers), Safety Warnings and Signage (16 papers) and Human-Automation Interaction and Safety (15 papers). Shoushuo Wang collaborates with scholars based in China, Netherlands and Canada. Shoushuo Wang's co-authors include Zhigang Du, Fangtong Jiao, Libo Yang, Lei Han, Shiming He, Lei Han, Rui He, Guojun Chen, Can Chen and Soora Rasouli and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Sustainability and Accident Analysis & Prevention.

In The Last Decade

Shoushuo Wang

22 papers receiving 396 citations

Peers

Shoushuo Wang

SRRQ

CSE

Fangtong Jiao China

Nishant Mukund Pawar India

Shiyong He China

Michael P. Manser United States

Abbas Sheykhfard Iran

Wesley Kumfer United States

Jean‐Michel Auberlet France

Yiping Wu China

Florence Rosey France

Federico Orsini Italy

Fangtong Jiao China

Shoushuo Wang

305 ×1.0

SRRQ

235 ×0.9

79 ×1.1

CSE

54 ×1.0

61 ×1.2

Citations per year, relative to Shoushuo Wang Shoushuo Wang (= 1×) peers Fangtong Jiao

Countries citing papers authored by Shoushuo Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shoushuo Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoushuo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shoushuo Wang. A scholar is included among the top collaborators of Shoushuo 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 Shoushuo Wang. Shoushuo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Han, Lei, et al.. (2025). The impact of spiral tunnel characteristics on driver HRV and stress perception: A naturalistic driving experiment. Accident Analysis & Prevention. 214. 107983–107983. 3 indexed citations

Han, Lei, Zhigang Du, & Shoushuo Wang. (2025). Exploring drivers’ psychological responses in spiral tunnel: visual attention and subjective perceptions. Traffic Injury Prevention. 26(7). 775–784. 2 indexed citations

He, Shiming, et al.. (2025). Measuring and evaluating the impact of visual guiding strategies in urban tunnel diverging areas on driver behavior: A simulated driving experiment. Measurement. 253. 117648–117648.

Han, Lei, et al.. (2025). Assessment of drivers’ visual search patterns and cognitive load during driving in curved tunnels. Traffic Injury Prevention. 26(5). 524–534.

Han, Lei, Zhigang Du, Shiming He, & Shoushuo Wang. (2024). An empirical investigation of driver’s eye-catching effect in the entrance zone of freeway tunnels: A naturalistic driving experiment. Transportation Research Part F Traffic Psychology and Behaviour. 101. 92–110. 20 indexed citations

Han, Lei, et al.. (2024). The effects of tunnel radius, turn direction, and zone characteristics on drivers’ visual performance. Tunnelling and Underground Space Technology. 152. 105912–105912. 14 indexed citations

Wang, Shoushuo, Lei Han, Zhigang Du, et al.. (2024). Can retroreflective rings enhance drivers’ safety perception of spatial right-of-way in freeway tunnels? A simulation exploration. Accident Analysis & Prevention. 209. 107825–107825. 2 indexed citations

Han, Lei, Zhigang Du, & Shoushuo Wang. (2024). Investigating the eye-catching effect in the entrance zone of highway tunnels through heart rate variability analysis. Traffic Injury Prevention. 26(3). 316–324. 1 indexed citations

Rasouli, Soora, et al.. (2024). Association between length of upstream tunnels and visual load in connection zones of highway tunnel groups. Tunnelling and Underground Space Technology. 147. 105736–105736. 4 indexed citations

10.

Wang, Shoushuo, et al.. (2024). Comprehensive Evaluation of Visual Guiding Systems for Enhancing Traffic Safety in Freeway Tunnels: An Improved Matter-Element Method with Case Study. Transportation Research Record Journal of the Transportation Research Board. 2678(10). 957–971. 1 indexed citations

11.

Wang, Shoushuo, et al.. (2023). Improving driving safety in freeway tunnels: A field study of linear visual guiding facilities. Tunnelling and Underground Space Technology. 143. 105489–105489. 22 indexed citations

12.

He, Shiming, et al.. (2023). Impact of urban tunnel sidewall effect on drivers: Examining visual characteristics and driving behavior across different lanes. Tunnelling and Underground Space Technology. 143. 105476–105476. 23 indexed citations

13.

Du, Zhigang, et al.. (2023). Dynamic driving risk in highway tunnel groups based on pupillary oscillations. Accident Analysis & Prevention. 195. 107414–107414. 17 indexed citations

14.

Han, Lei, et al.. (2022). Analysis of Traffic Signs Information Volume Affecting Driver’s Visual Characteristics and Driving Safety. International Journal of Environmental Research and Public Health. 19(16). 10349–10349. 22 indexed citations

15.

Du, Zhigang, et al.. (2021). Experimental study on the efficacy of retroreflective rings in the curved freeways tunnels. Tunnelling and Underground Space Technology. 110. 103813–103813. 49 indexed citations

16.

Jiao, Fangtong, et al.. (2021). Entrance zone length of extra-long undersea tunnels based on vision adaptation. Tunnelling and Underground Space Technology. 113. 103970–103970. 31 indexed citations

17.

Jiao, Fangtong, et al.. (2020). Drivers’ Saccade Characteristics in Curves of Extra-Long Urban Underwater Tunnels. Transportation Research Record Journal of the Transportation Research Board. 2674(2). 102–111. 30 indexed citations

18.

Wang, Shoushuo, et al.. (2020). Impact of Urban Undersea Tunnel Longitudinal Slope on the Visual Characteristics of Drivers. Journal of Advanced Transportation. 2020. 1–11. 7 indexed citations

19.

Jiao, Fangtong, et al.. (2020). Research on drivers’ visual characteristics in different curvatures and turning conditions of the extra-long urban underwater tunnels. Tunnelling and Underground Space Technology. 99. 103360–103360. 51 indexed citations

20.

Wang, Shoushuo, et al.. (2020). Rectification of Driver’s Visual Illusion on Continuous Downhill of Urban Underwater Tunnel. CICTP 2020. 3692–3704. 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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