Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

On-Road Evaluation of Autonomous Driving Training
Daniele Sportillo, Alexis Paljic, Luciano Ojeda
2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (2019), pp. 182-190
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Industry 5.0: A survey on enabling technologies and potential applications
Praveen Kumar Reddy Maddikunta, Quoc‐Viet Pham, B. Prabadevi, et al.
Journal of Industrial Information Integration (2021) Vol. 26, pp. 100257-100257
Open Access | Times Cited: 1267
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects
Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 2, pp. 1160-1192
Open Access | Times Cited: 464
A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Energies (2022) Vol. 15, Iss. 17, pp. 6276-6276
Open Access | Times Cited: 321
Diverse approaches to learning with immersive Virtual Reality identified from a systematic review
Mihye Won, Dewi Ayu Kencana Ungu, Henry Matovu, et al.
Computers & Education (2022) Vol. 195, pp. 104701-104701
Open Access | Times Cited: 79
Edge Computing for Industry 5.0: Fundamental, Applications, and Research Challenges
Megha Sharma, Abhinav Tomar, Abhishek Hazra
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 19070-19093
Closed Access | Times Cited: 38
Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots
Pooya Adami, Patrick B. Rodrigues, Peter J. Woods, et al.
Journal of Computing in Civil Engineering (2022) Vol. 36, Iss. 3
Open Access | Times Cited: 53
A Systematic Review of Virtual Reality Applications for Automated Driving: 2009–2020
Andreas Riegler, Andreas Riener, Clemens Holzmann
Frontiers in Human Dynamics (2021) Vol. 3
Open Access | Times Cited: 47
Effectiveness of virtual reality in discrete event simulation models for manufacturing systems
Víctor Alejandro Huerta-Torruco, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, et al.
Computers & Industrial Engineering (2022) Vol. 168, pp. 108079-108079
Closed Access | Times Cited: 28
Virtual reality tour for first-time users of highly automated cars: Comparing the effects of virtual environments with different levels of interaction fidelity
Mahdi Ebnali, Richard Lamb, Razieh Fathi, et al.
Applied Ergonomics (2020) Vol. 90, pp. 103226-103226
Closed Access | Times Cited: 43
Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students
Pooya Adami, Rashmi Singh, Patrick B. Rodrigues, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101837-101837
Open Access | Times Cited: 23
Challenges for automated vehicle driver training: A thematic analysis from manual and automated driving
Siobhán E. Merriman, Katherine L. Plant, Kirsten M. A. Revell, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2020) Vol. 76, pp. 238-268
Open Access | Times Cited: 35
Toward Immersive Self-Driving Simulations: Reports from a User Study across Six Platforms
Dohyeon Yeo, Gwangbin Kim, SeungJun Kim
(2020)
Open Access | Times Cited: 34
A Research Agenda for Mixed Reality in Automated Vehicles
Andreas Riegler, Andreas Riener, Clemens Holzmann
(2020), pp. 119-131
Closed Access | Times Cited: 29
Augmented Reality for Future Mobility: Insights from a Literature Review and HCI Workshop
Andreas Riegler, Andreas Riener, Clemens Holzmann
i-com (2021) Vol. 20, Iss. 3, pp. 295-318
Open Access | Times Cited: 26
Systematic Review of Augmented Reality Training Systems
Isidro Butaslac, Yuichiro Fujimoto, Taishi Sawabe, et al.
IEEE Transactions on Visualization and Computer Graphics (2022) Vol. 29, Iss. 12, pp. 5062-5082
Open Access | Times Cited: 18
Preparing drivers for the future: Evaluating the effects of training on drivers’ performance in an autonomous vehicle landscape
Mohsin Murtaza, Chi‐Tsun Cheng, Mohammad Fard, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 98, pp. 280-296
Closed Access | Times Cited: 9
Identifying seafarer training needs for operating future autonomous ships: a systematic literature review
Gholam Reza Emad, Hossein Enshaei, Samrat Ghosh
Australian Journal of Maritime & Ocean Affairs (2021) Vol. 14, Iss. 2, pp. 114-135
Closed Access | Times Cited: 22
What does an Automated Vehicle class as a hazard? Using online video-based training to improve drivers’ trust and mental models for activating an Automated Vehicle
Siobhán E. Merriman, Kirsten M. A. Revell, Katherine L. Plant
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 98, pp. 1-17
Open Access | Times Cited: 8
Is text-based user manual enough? A driving simulator study of three training paradigms for conditionally automated driving
Huei-Yen Winnie Chen, Zhi Guo, Mahdi Ebnali
Transportation Research Part F Traffic Psychology and Behaviour (2023) Vol. 95, pp. 355-368
Closed Access | Times Cited: 6
Urgent and non-urgent takeovers during conditional automated driving on public roads: The impact of different training programmes
Aïsha Sahaï, Jessy Barré, Mercedes Bueno
Transportation Research Part F Traffic Psychology and Behaviour (2021) Vol. 81, pp. 130-143
Open Access | Times Cited: 15
A Systematic Review of Augmented Reality Applications for Automated Driving: 2009–2020
Andreas Riegler, Andreas Riener, Clemens Holzmann
PRESENCE Virtual and Augmented Reality (2019) Vol. 28, pp. 87-126
Closed Access | Times Cited: 16
Where Failures May Occur in Automated Driving: A Fault Tree Analysis Approach
Kuan‐Ting Chen, Huei-Yen Winnie Chen, Ann M. Bisantz, et al.
Journal of Cognitive Engineering and Decision Making (2022) Vol. 17, Iss. 2, pp. 147-165
Closed Access | Times Cited: 8
Augmented Reality for Next Generation Connected and Automated Vehicles
Sachin Sharma, Shuchi Bhadula, Amit Juyal
(2024), pp. 23-28
Closed Access | Times Cited: 1
Impacts of Training Methods and Experience Types on Drivers’ Mental Models and Driving Performance
Linwei Qiao, Jiaqian Li, Tingru Zhang
Lecture notes in computer science (2024), pp. 44-56
Closed Access | Times Cited: 1
Supporting User Onboarding in Automated Vehicles through Multimodal Augmented Reality Tutorials
Henrik Detjen, Robert Niklas Degenhart, Stefan Schneegaß, et al.
Multimodal Technologies and Interaction (2021) Vol. 5, Iss. 5, pp. 22-22
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top