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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles
Xiaolin He, Jork Stapel, Meng Wang, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2022) Vol. 86, pp. 178-195
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Conceptualising user comfort in automated driving: Findings from an expert group workshop
Chen Peng, Stefanie Horn, Ruth Madigan, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 24, pp. 101070-101070
Open Access | Times Cited: 12
Putting ChatGPT vision (GPT-4V) to the test: risk perception in traffic images
Tom Driessen, Dimitra Dodou, Pavlo Bazilinskyy, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 10
What Explains Teachers’ Trust in AI in Education Across Six Countries?
Olga Viberg, Mutlu Cukurova, Yael Feldman-Maggor, et al.
International Journal of Artificial Intelligence in Education (2024)
Open Access | Times Cited: 9
Modeling and analysis of human-machine mixed traffic flow considering the influence of the trust level toward autonomous vehicles
Lishan Sun, Zeyu Cheng, Dewen Kong, et al.
Simulation Modelling Practice and Theory (2023) Vol. 125, pp. 102741-102741
Closed Access | Times Cited: 18
Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model
Chen Chen, Zhiqian Lan, Guojian Zhan, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 8093-8104
Closed Access | Times Cited: 7
Designing user interfaces for partially automated Vehicles: Effects of information and modality on trust and acceptance
Soyeon Kim, Xiaolin He, René van Egmond, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 103, pp. 404-419
Open Access | Times Cited: 6
How does drivers’ trust in vehicle automation affect non-driving-related task engagement, vigilance, and initiative takeover performance after experiencing system failure?
Hengyan Pan, Ke Xu, Yang Qin, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 98, pp. 73-90
Closed Access | Times Cited: 14
Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends
Qi Liu, Xueyuan Li, Yujie Tang, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8229-8229
Open Access | Times Cited: 12
Perceived risk and acceptance of automated vehicles users to unexpected hazard situations in real driving conditions
Elisa Pérez–Moreno, José Eugenio Naranjo, María José Hernández-Lloreda, et al.
Behaviour and Information Technology (2025), pp. 1-18
Closed Access
Influence of information strategies on behavioral intention to adopt driverless vehicles: Based on a survey experiment
Weiwei Zhu, Jinmeng Wei
Energy (2025), pp. 134842-134842
Closed Access
Enhancing Acceptance of Automated Vehicles Through Gamification: Insights from a Driving Simulator Study
Chenchang Li, Ruixue Yin, Bo Yang, et al.
(2025)
Closed Access
Physiological Evaluation of User Experience in Unstable Automated Driving: A Comparative Study
Sooncheon Hwang, Dongmin Lee
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2683-2683
Open Access
Strategic Decision Points in Experiments: A Predictive Bayesian Optional Stopping Method
Xiaomi Yang, Carol A. C. Flannagan, Jonas Bärgman
(2025)
Closed Access
What leads to reliance on automated vehicles? An inferential analysis of responses to variable AV performance
Xizi Xiao, Xingjian Ma, Anthony D. McDonald, et al.
Applied Ergonomics (2025) Vol. 128, pp. 104511-104511
Closed Access
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
Robert Kaufman, Eunju Lee, Manas Satish Bedmutha, et al.
(2025), pp. 1-24
Closed Access
Predicting perceived risk of traffic scenes using computer vision
Joost de Winter, Jim Hoogmoed, Jork Stapel, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 93, pp. 235-247
Open Access | Times Cited: 9
Trust in Automation (TiA): Simulation Model, and Empirical Findings in Supervisory Control of Maritime Autonomous Surface Ships (MASS)
Mehdi Poornikoo, William Gyldensten, Boban Vesin, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-28
Open Access | Times Cited: 3
User comfort and naturalness of automated driving: The effect of vehicle kinematic and proxemic factors on subjective response
Chen Peng, Chongfeng Wei, Albert Solernou, et al.
Applied Ergonomics (2024) Vol. 122, pp. 104397-104397
Open Access | Times Cited: 3
How human-automation interaction experiences, trust propensity and dynamic trust affect drivers’ physiological responses in conditionally automated driving: Moderated moderated-mediation analyses
Binlin Yi, Haotian Cao, Xiaolin Song, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 94, pp. 133-150
Closed Access | Times Cited: 8
Do driver’s characteristics, system performance, perceived safety, and trust influence how drivers use partial automation? A structural equation modelling analysis
Sina Nordhoff, Jork Stapel, Xiaolin He, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 7
Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation
Qingkun Li, Yizi Su, Wenjun Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 10, pp. 11278-11292
Closed Access | Times Cited: 7
On-road trust and perceived risk in Level 2 automation
Jork Stapel, Alexandre Gentner, Riender Happee
Transportation Research Part F Traffic Psychology and Behaviour (2022) Vol. 89, pp. 355-370
Open Access | Times Cited: 11
Objective Detection of Trust in Automated Urban Air Mobility: A Deep Learning-Based ERP Analysis
Yuhan Li, Shuguang Zhang, Ruichen He, et al.
Aerospace (2024) Vol. 11, Iss. 3, pp. 174-174
Open Access | Times Cited: 2
A Human-Machine Trust Evaluation Method for High-Speed Train Drivers Based on Multi-Modal Physiological Information
Huimin Li, Mengxuan Liang, Ke Niu, et al.
International Journal of Human-Computer Interaction (2024), pp. 1-18
Closed Access | Times Cited: 2
A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users
Lucas Elbert Suryana, Sina Nordhoff, Simeon C. Calvert, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 409-416
Closed Access | Times Cited: 2
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