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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:

Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles
Jieun Lee, Genya Abe, Kenji Sato, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2021) Vol. 81, pp. 384-395
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Toward a Framework for Trust Building between Humans and Robots in the Construction Industry: A Systematic Review of Current Research and Future Directions
Woei-Chyi Chang, Sogand Hasanzadeh
Journal of Computing in Civil Engineering (2024) Vol. 38, Iss. 3
Closed Access | Times Cited: 11
The Impact of Automation Failure on Unmanned Aircraft System Operators’ Performance, Workload, and Trust in Automation
Jianxin Wang, Weining Fang, Hanzhao Qiu, et al.
Drones (2025) Vol. 9, Iss. 3, pp. 165-165
Open Access | Times Cited: 1
Consumer minimalism for sustainability: Exploring the determinants of rental consumption intention
Yupal Shukla, Sita Mishra, Ravi Chatterjee, et al.
Journal of Consumer Behaviour (2023) Vol. 23, Iss. 2, pp. 514-529
Closed Access | Times Cited: 22
Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents
Qiyuan Zhang, Christopher D. Wallbridge, Dylan M. Jones, et al.
Transportation Research Part A Policy and Practice (2023) Vol. 179, pp. 103887-103887
Open Access | Times Cited: 20
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: 15
The Impact of a Priori Information on Drivers’ Mental Models, Attitudes, and Behavior in Interaction with Partial and Conditional Driving Automation
Sophie Feinauer, Irene Groh, Tibor Petzoldt
International Journal of Human-Computer Interaction (2024), pp. 1-13
Open Access | Times Cited: 5
The Choice to Use Automation: Improvements from Evidence Accumulation
Colleen E. Patton, Benjamin A. Clegg, Blake C. Davis, et al.
International Journal of Human-Computer Interaction (2025), pp. 1-18
Open Access
Developing and validating a Chinese human-automation trust scale: Advancing trust measurement of emerging automation in sustainable ergonomics
Zixin Cui, Xiangling Zhuang, Seul Chan Lee, et al.
Applied Ergonomics (2025) Vol. 125, pp. 104477-104477
Closed Access
Using Video Introduction to Mitigate Affect‐Based Initial Trust in Automation
Zixin Cui, Fan Yang, Huiping Zhou, et al.
Japanese Psychological Research (2025)
Open Access
Trust in the Automatic Train Supervision System and Its Effects on Subway Dispatchers’ Operational Behavior
Jianxin Wang, Weining Fang, Haifeng Bao
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3839-3839
Open Access
Exploring the trust and behavior of experienced advanced driver assistance system drivers: An on-road study
Ruifo Zhang, Zhengyu Tan, Zemin Lin, et al.
Accident Analysis & Prevention (2025) Vol. 217, pp. 108071-108071
Closed Access
Trust in machines: how personality trait shapes static and dynamic trust across different human–machine interaction modalities
Yi Zhu, Guiqi Hua, Xiaoyin Liu, et al.
Frontiers in Psychology (2025) Vol. 16
Open Access
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: 15
A comparison of the views of experts and the public on automated vehicles technologies and societal implications
Ritwik Swain, Verity Truelove, Andry Rakotonirainy, et al.
Technology in Society (2023) Vol. 74, pp. 102288-102288
Closed Access | Times Cited: 9
Beyond adaptive cruise control and lane centering control: drivers’ mental model of and trust in emerging ADAS technologies
Chunxi Huang, Dengbo He, Xiao Wen, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 9
Trust towards autonomous driving, worthwhile travel time, and new mobility business opportunities
Jingjing Zeng, Zheng Li
Applied Economics (2024), pp. 1-15
Closed Access | Times Cited: 3
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 experience and usability when the automated driving system fails: Findings from a field experiment
Peng Liu, Zijun Jiang, Tingting Li, et al.
Accident Analysis & Prevention (2021) Vol. 161, pp. 106383-106383
Closed Access | Times Cited: 20
Assessment of Trust in Automation in the “Real World”: Requirements for New Trust in Automation Measurement Techniques for Use by Practitioners
Nathan L. Tenhundfeld, Mustafa Demir, Ewart J. de Visser
Journal of Cognitive Engineering and Decision Making (2022) Vol. 16, Iss. 2, pp. 101-118
Closed Access | Times Cited: 14
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: 8
Understanding trust calibration in automated driving: the effect of time, personality, and system warning design
Jianhong Qu, Ronggang Zhou, Yaping Zhang, et al.
Ergonomics (2023) Vol. 66, Iss. 12, pp. 2165-2181
Closed Access | Times Cited: 7
How Do Drivers Perceive Risks During Automated Driving Scenarios? An fNIRS Neuroimaging Study
Jaume Perelló-March, Christopher Burns, Roger Woodman, et al.
Human Factors The Journal of the Human Factors and Ergonomics Society (2023) Vol. 66, Iss. 9, pp. 2244-2263
Open Access | Times Cited: 7
Complexity-Driven Trust Dynamics in Human–Robot Interactions: Insights from AI-Enhanced Collaborative Engagements
Yi Zhu, Taotao Wang, Chang Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 12989-12989
Open Access | Times Cited: 7
Trust, risk perception, and intention to use autonomous vehicles: an interdisciplinary bibliometric review
Mohammad Naiseh, Jediah R. Clark, Tuğra Nazlı Akarsu, et al.
AI & Society (2024)
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
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