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OpenAlex Citation Counts

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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:

Psychophysiological responses to takeover requests in conditionally automated driving
Na Du, X. Jessie Yang, Feng Zhou
Accident Analysis & Prevention (2020) Vol. 148, pp. 105804-105804
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving
Feng Zhou, X. Jessie Yang, Joost de Winter
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 3, pp. 2284-2295
Open Access | Times Cited: 104
Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability
Jackie Ayoub, X. Jessie Yang, Feng Zhou
Transportation Research Part F Traffic Psychology and Behaviour (2021) Vol. 77, pp. 102-116
Open Access | Times Cited: 67
Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated driving
Vishnu Radhakrishnan, Natasha Merat, Tyron Louw, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2022) Vol. 87, pp. 149-163
Open Access | Times Cited: 41
Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures
Jackie Ayoub, Lilit Avetisian, X. Jessie Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 14642-14650
Open Access | Times Cited: 29
Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review
Apoorva Pramod Hungund, Anuj K. Pradhan
Accident Analysis & Prevention (2023) Vol. 188, pp. 107076-107076
Closed Access | Times Cited: 27
Dynamic traffic safety risk assessment in road tunnel entrance zone based on drivers' psychophysiological perception states: Methodology and case-study insights
Jia’an Niu, Bo Liang, Yiik Diew Wong, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105677-105677
Closed Access | Times Cited: 13
The impacts of the traffic situation, road conditions, and driving environment on driver stress: A systematic review
Jie Ni, Jiaqi Chen, Wanying Xie, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 103, pp. 141-162
Closed Access | Times Cited: 11
How to design driver takeover request in real-world scenarios: A systematic review
Hanwen Deng, Guoliang Xiang, Jiandong Pan, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 104, pp. 411-432
Closed Access | Times Cited: 9
Predicting Driver Takeover Time in Conditionally Automated Driving
Jackie Ayoub, Na Du, X. Jessie Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 7, pp. 9580-9589
Open Access | Times Cited: 38
Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving
Vishnu Radhakrishnan, Tyron Louw, Rafael Cirino Gonçalves, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 94, pp. 254-267
Open Access | Times Cited: 22
Behavioral and physiological responses to takeovers in different scenarios during conditionally automated driving
Na Du, Feng Zhou, Dawn M. Tilbury, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 101, pp. 320-331
Open Access | Times Cited: 8
Safety evaluation and prediction of takeover performance in automated driving considering drivers’ cognitive load: A driving simulator study
Yongjie Liu, Chaozhong Wu, Hui Zhang, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 103, pp. 35-52
Closed Access | Times Cited: 8
HARMONY: A Human-Centered Multimodal Driving Study in the Wild
Arash Tavakoli, Shashwat Kumar, Xiang Guo, et al.
IEEE Access (2021) Vol. 9, pp. 23956-23978
Open Access | Times Cited: 36
Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality
Lilit Avetisyan, Jackie Ayoub, Feng Zhou
Transportation Research Part F Traffic Psychology and Behaviour (2022) Vol. 89, pp. 456-466
Open Access | Times Cited: 28
Multimodal driver state modeling through unsupervised learning
Arash Tavakoli, Arsalan Heydarian
Accident Analysis & Prevention (2022) Vol. 170, pp. 106640-106640
Open Access | Times Cited: 23
How Can the Trust-Change Direction be Measured and Identified During Takeover Transitions in Conditionally Automated Driving? Using Physiological Responses and Takeover-Related Factors
Binlin Yi, Haotian Cao, Xiaolin Song, et al.
Human Factors The Journal of the Human Factors and Ergonomics Society (2023) Vol. 66, Iss. 4, pp. 1276-1301
Closed Access | Times Cited: 15
How to identify the take-over criticality in conditionally automated driving? An examination using drivers’ physiological parameters and situational factors
Binlin Yi, Haotian Cao, Xiaolin Song, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2022) Vol. 85, pp. 161-178
Closed Access | Times Cited: 21
How are drivers’ stress levels and emotions associated with the driving context? A naturalistic study
Arash Tavakoli, Nathan Lai, Vahid Balali, et al.
Journal of Transport & Health (2023) Vol. 31, pp. 101649-101649
Open Access | Times Cited: 13
Influence of non-driving related tasks on driving performance after takeover transition in conditionally automated driving
Neng Zhang, Mohammad Fard, Jian Xu, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 96, pp. 248-264
Closed Access | Times Cited: 12
Assessing the Effects of Modalities of Takeover Request, Lead Time of Takeover Request, and Traffic Conditions on Takeover Performance in Conditionally Automated Driving
Weida Yang, Zhizhou Wu, Jinjun Tang, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7270-7270
Open Access | Times Cited: 11
Constructing the behavioral sequence of the takeover process—TOR, behavior characteristics and phases division: A real vehicle experiment
Zhenhua Yu, Gerui Xu, Kang Jiang, et al.
Accident Analysis & Prevention (2023) Vol. 186, pp. 107040-107040
Closed Access | Times Cited: 10
Optimizing Takeover Performance: Balancing Warning Information Amount for Urgent and Non-Urgent Autonomous Transitions
Yu Wang, Qichen Hu, Yang Shen, et al.
Transportation Research Record Journal of the Transportation Research Board (2025)
Closed Access
The Review of Human–Machine Collaborative Intelligent Interaction With Driver Cognition in the Loop
Qianwen Fu, Lijun Zhang, Yiqian Xu, et al.
Systems Research and Behavioral Science (2025)
Closed Access
Objective and Subjective Evaluation of the Interaction of Automated Vehicles and Human Drivers in Take-Over Scenarios
Massimiliano Gobbi, Linda Boscaro, Veronica De Guglielmo, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2025) Vol. 1
Closed Access
Exploring how physio-psychological states affect drivers’ takeover performance in conditional automated vehicles
Ange Wang, Jiyao Wang, Chunxi Huang, et al.
Accident Analysis & Prevention (2025) Vol. 216, pp. 108022-108022
Closed Access
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