Shu Ma

530 total citations
26 papers, 354 citations indexed

About

Shu Ma is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Radiological and Ultrasound Technology. According to data from OpenAlex, Shu Ma has authored 26 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Social Psychology, 14 papers in Safety, Risk, Reliability and Quality and 3 papers in Radiological and Ultrasound Technology. Recurrent topics in Shu Ma's work include Human-Automation Interaction and Safety (18 papers), Traffic and Road Safety (14 papers) and Safety Warnings and Signage (14 papers). Shu Ma is often cited by papers focused on Human-Automation Interaction and Safety (18 papers), Traffic and Road Safety (14 papers) and Safety Warnings and Signage (14 papers). Shu Ma collaborates with scholars based in China, United States and Czechia. Shu Ma's co-authors include Zhen Yang, Changxu Wu, Hongting Li, Jinlei Shi, Chunyan Kang, Xiangling Zhuang, Yimin A. Wu, Chunlei Chai, Duming Wang and Bohan Wu and has published in prestigious journals such as Frontiers in Psychology, Accident Analysis & Prevention and Applied Ergonomics.

In The Last Decade

Shu Ma

23 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Ma China 10 234 155 67 59 54 26 354
Nguyen‐Thong Dang France 13 245 1.0× 224 1.4× 88 1.3× 51 0.9× 113 2.1× 24 457
Joshua Domeyer United States 10 253 1.1× 191 1.2× 100 1.5× 17 0.3× 47 0.9× 27 362
Alea Mehler United States 6 173 0.7× 159 1.0× 111 1.7× 72 1.2× 17 0.3× 14 389
Dengbo He Hong Kong 11 244 1.0× 157 1.0× 130 1.9× 24 0.4× 37 0.7× 65 471
Isabelle Milleville-Pennel France 11 136 0.6× 74 0.5× 53 0.8× 52 0.9× 121 2.2× 22 322
Josef Schumann Germany 9 217 0.9× 160 1.0× 81 1.2× 23 0.4× 60 1.1× 15 330
Felix Wilhelm Siebert Germany 11 132 0.6× 229 1.5× 131 2.0× 63 1.1× 39 0.7× 42 461
Shadan Sadeghian Borojeni Germany 9 342 1.5× 145 0.9× 168 2.5× 20 0.3× 90 1.7× 19 450
Stas Krupenia Sweden 9 285 1.2× 151 1.0× 95 1.4× 28 0.5× 47 0.9× 16 406
Jork Stapel Netherlands 10 255 1.1× 167 1.1× 133 2.0× 21 0.4× 12 0.2× 17 374

Countries citing papers authored by Shu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Ma. A scholar is included among the top collaborators of Shu Ma 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 Shu Ma. Shu Ma 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.
Shi, Jinlei, Wei Zhang, Zhen Yang, et al.. (2024). Investigating looming tactile takeover requests with various levels of urgency in automated vehicles. Accident Analysis & Prevention. 208. 107790–107790. 3 indexed citations
2.
Ma, Shu & Tianxiao Wang. (2024). Research on Strategies of English Teaching Reform in Colleges and Universities Supported by Artificial Intelligence Technology. Applied Mathematics and Nonlinear Sciences. 9(1). 1 indexed citations
3.
4.
Shi, Jinlei, et al.. (2023). Are Warnings Suitable for Presentation in Head-Up Display? A Meta-Analysis for the Effect of Head-Up Display Warning on Driving Performance. Transportation Research Record Journal of the Transportation Research Board. 2678(6). 336–359. 1 indexed citations
5.
Deng, Miaomiao, Yue Wu, Shu Ma, et al.. (2023). Using voice recognition to measure trust during interactions with automated vehicles. Applied Ergonomics. 116. 104184–104184. 19 indexed citations
6.
Ma, Shu, et al.. (2022). Head-Up Display Graphic Warning to Support Collision Avoidance: Effect of Graphic Animation and Border on Driving Behavior and Eye Movement Pattern. Transportation Research Record Journal of the Transportation Research Board. 2677(5). 636–652. 4 indexed citations
7.
Ma, Shu, et al.. (2022). Novel sonification designs: Compressed, iconic, and pitch-dynamic auditory icons boost driving behavior. Applied Ergonomics. 103. 103797–103797. 5 indexed citations
8.
Wu, Bohan, et al.. (2022). Danger or avoidance indication: Dynamics interact with semantics in auditory icons to avoid collisions. International Journal of Industrial Ergonomics. 92. 103353–103353. 6 indexed citations
9.
Ma, Shu, et al.. (2022). The Impact of Different Types of Auditory Warnings on Working Memory. Frontiers in Psychology. 13. 780657–780657. 5 indexed citations
10.
Zhang, Wei, Zhen Yang, Chunyan Kang, et al.. (2021). Optimal Time Intervals in Two-Stage Takeover Warning Systems With Insight Into the Drivers’ Neuroticism Personality. Frontiers in Psychology. 12. 601536–601536. 29 indexed citations
11.
Wu, Bohan, et al.. (2021). Effect of mapping characteristic on audiovisual warning: Evidence from a simulated driving study. Applied Ergonomics. 99. 103638–103638. 10 indexed citations
12.
Ma, Shu, Zhen Yang, Chunyan Kang, et al.. (2020). Promote or inhibit: An inverted U-shaped effect of workload on driver takeover performance. Traffic Injury Prevention. 21(7). 482–487. 27 indexed citations
13.
Yang, Zhen, Jinlei Shi, Bohan Wu, et al.. (2020). Effect of Warning Graphics Location on Driving Performance: An Eye Movement Study. International Journal of Human-Computer Interaction. 36(12). 1150–1160. 9 indexed citations
14.
Ma, Shu, Zhen Yang, Chunyan Kang, et al.. (2020). Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and Acceptance. International Journal of Human-Computer Interaction. 37(4). 352–362. 52 indexed citations
15.
Ma, Shu, et al.. (2019). Type 2 diabetes can undermine driving performance of middle-aged male drivers through its deterioration of perceptual and cognitive functions. Accident Analysis & Prevention. 134. 105334–105334. 14 indexed citations
16.
Ma, Shu, et al.. (2019). Looking for an optimal pedal layout to improve the driving performance of patients with diabetic peripheral neuropathy. Applied Ergonomics. 80. 43–49. 7 indexed citations
17.
Yang, Zhen, Jinlei Shi, Yimin A. Wu, et al.. (2019). Influences of Augmented Reality Assistance on Performance and Cognitive Loads in Different Stages of Assembly Task. Frontiers in Psychology. 10. 1703–1703. 53 indexed citations
18.
Zhuang, Xiangling, Changxu Wu, & Shu Ma. (2017). Cross or wait? Pedestrian decision making during clearance phase at signalized intersections. Accident Analysis & Prevention. 111. 115–124. 46 indexed citations
19.
Ma, Shu, Jingyu Zhang, Guozhen Zhao, Changxu Wu, & Xianghong Sun. (2017). Do Type 2 diabetes patients have declined driving performance during non-hypoglycemia? A preliminary simulated driving study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 61(1). 858–862. 2 indexed citations
20.
Wu, Changxu, et al.. (2013). Cognitive Psychological Process and Model of Pedestrian’s Road Crossing Behavior. Advances in Psychological Science. 21(7). 1141–1149. 3 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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