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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:

In AI We Trust: Investigating the Relationship between Biosignals, Trust and Cognitive Load in VR
Kunal Gupta, Ryo Hajika, Yun Suen Pai, et al.
(2019), pp. 1-10
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies
Oleksandra Vereschak, Gilles Bailly, Baptiste Caramiaux
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW2, pp. 1-39
Open Access | Times Cited: 114
Evaluating privacy, security, and trust perceptions in conversational AI: A systematic review
Anna Leschanowsky, Silas Rech, Birgit Popp, et al.
Computers in Human Behavior (2024) Vol. 159, pp. 108344-108344
Open Access | Times Cited: 18
A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality
Andreas Halbig, Marc Erich Latoschik
Frontiers in Virtual Reality (2021) Vol. 2
Open Access | Times Cited: 77
When XR and AI Meet - A Scoping Review on Extended Reality and Artificial Intelligence
Teresa Hirzle, Florian Müller, Fiona Draxler, et al.
(2023), pp. 1-45
Open Access | Times Cited: 34
Neural Applications Using Immersive Virtual Reality: A Review on EEG Studies
Jin Woo Choi, Haram Kwon, Jae-Hoon Choi, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1645-1658
Open Access | Times Cited: 32
Trust in AI: progress, challenges, and future directions
Saleh Afroogh, Ali Akbari, Emmie Malone, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 14
Galea: A physiological sensing system for behavioral research in Virtual Environments
Guillermo Bernal, Nelson Hidalgo, Conor Russomanno, et al.
2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (2022), pp. 66-76
Closed Access | Times Cited: 34
Virtual Reality for Safe Testing and Development in Collaborative Robotics: Challenges and Perspectives
Sergi Bermúdez i Badia, Paula Alexandra Silva, Diogo Branco, et al.
Electronics (2022) Vol. 11, Iss. 11, pp. 1726-1726
Open Access | Times Cited: 33
Understanding User Reliance on AI in Assisted Decision-Making
Shiye Cao, Chien‐Ming Huang
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW2, pp. 1-23
Open Access | Times Cited: 30
A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment
Konstantina Kyriaki, Dimitrios Koukopoulos, Christos Fidas
IEEE Access (2024) Vol. 12, pp. 23466-23489
Open Access | Times Cited: 8
A comparative study on inter-brain synchrony in real and virtual environments using hyperscanning
Ihshan Gumilar, Ekansh Sareen, R. E. Bell, et al.
Computers & Graphics (2020) Vol. 94, pp. 62-75
Closed Access | Times Cited: 35
Come Fly With Me
Mark Colley, Luca-Maxim Meinhardt, Alexander Faßbender, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2023) Vol. 7, Iss. 2, pp. 1-23
Open Access | Times Cited: 12
Impact of work instruction difficulty on cognitive load and operational efficiency
Abdulrahman K. Eesee, Vera Varga, György Eigner, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The Brain Knows What You Prefer: Using EEG to Decode AR Input Preferences
Kaining Zhang, Theophilus Teo, Eunhee Chang, et al.
(2025), pp. 1-20
Closed Access
"But I Won't Say That It Was Bad Seeing a Real Vagina": Understanding Perspectives toward Learning Sensitive-Critical Health Topic
Sara Moin, Manshul Belani, Pragya Singh, et al.
(2025), pp. 1-15
Closed Access
Cognitive Load During Multitasking Can Be Accurately Assessed Based on Single Channel Electroencephalography Using Graph Methods
Guohun Zhu, Fangrong Zong, Hua Zhang, et al.
IEEE Access (2021) Vol. 9, pp. 33102-33109
Open Access | Times Cited: 22
Measurement and Real-Time Recognition of Driver Trust in Conditionally Automated Vehicles: Using Multimodal Feature Fusions Network
Binlin Yi, Haotian Cao, Xiaolin Song, et al.
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2677, Iss. 8, pp. 311-330
Closed Access | Times Cited: 9
AffectivelyVR: Towards VR Personalized Emotion Recognition
Kunal Gupta, Jovana Lazarević, Yun Suen Pai, et al.
(2020)
Closed Access | Times Cited: 20
Take-Over Requests after Waking in Autonomous Vehicles
Won Bae Kim, Eunki Jeon, Gwangbin Kim, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1438-1438
Open Access | Times Cited: 12
Using fNIRS to Identify Transparency- and Reliability-Sensitive Markers of Trust Across Multiple Timescales in Collaborative Human-Human-Agent Triads
Lucca Eloy, Emily Doherty, Cara Spencer, et al.
Frontiers in Neuroergonomics (2022) Vol. 3
Open Access | Times Cited: 12
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
The impact of virtual agents’ multimodal communication on brain activity and cognitive load in Virtual Reality
Zhuang Chang, Huidong Bai, Li Zhang, et al.
Frontiers in Virtual Reality (2022) Vol. 3
Open Access | Times Cited: 11
Trust in Robot–Robot Scaffolding
Murat Kırtay, Verena V. Hafner, Minoru Asada, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 4, pp. 1841-1852
Open Access | Times Cited: 6
Effects of Uncertain Trajectory Prediction Visualization in Highly Automated Vehicles on Trust, Situation Awareness, and Cognitive Load
Mark Colley, Oliver Speidel, Jan Strohbeck, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2023) Vol. 7, Iss. 4, pp. 1-23
Open Access | Times Cited: 6
Capturing the Dynamics of Trust and Team Processes in Human-Human-Agent Teams via Multidimensional Neural Recurrence Analyses
Lucca Eloy, Cara Spencer, Emily Doherty, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-23
Open Access | Times Cited: 4
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