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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:

A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy
Anh Son Le, Hirofumi Aoki, Fumihiko Murase, et al.
Frontiers in Human Neuroscience (2018) Vol. 12
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
Monika Lohani, Brennan R. Payne, David L. Strayer
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 261
Mental Workload Assessment Using Machine Learning Techniques Based on EEG and Eye Tracking Data
Şeniz Harputlu Aksu, Erman Çakıt, Metin Dağdeviren
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2282-2282
Open Access | Times Cited: 8
Evaluating driver cognitive distraction by eye tracking: From simulator to driving
Anh Son Le, Tatsuya Suzuki, Hirofumi Aoki
Transportation Research Interdisciplinary Perspectives (2019) Vol. 4, pp. 100087-100087
Open Access | Times Cited: 59
A Three-Class Classification of Cognitive Workload Based on EEG Spectral Data
Małgorzata Plechawska–Wójcik, Mikhail Tokovarov, Monika Kaczorowska, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5340-5340
Open Access | Times Cited: 56
Classification of Drivers' Workload Using Physiological Signals in Conditional Automation
Quentin Meteier, Marine Capallera, Simon Ruffieux, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 44
Neurophysiological evaluation of workers' decision dynamics under time pressure and increased mental demand
Shiva Pooladvand, Sogand Hasanzadeh
Automation in Construction (2022) Vol. 141, pp. 104437-104437
Open Access | Times Cited: 34
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
Mehshan Ahmed Khan, Houshyar Asadi, Zhang Li, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123717-123717
Open Access | Times Cited: 6
Artificial Intelligence in Intracoronary Imaging
Russell J. Fedewa, Rishi Puri, Eitan Fleischman, et al.
Current Cardiology Reports (2020) Vol. 22, Iss. 7
Closed Access | Times Cited: 41
Design science and neuroscience: A systematic review of the emergent field of Design Neurocognition
Stephanie Balters, Theresa J. Weinstein, Naama Mayseless, et al.
Design Studies (2022) Vol. 84, pp. 101148-101148
Closed Access | Times Cited: 22
A multi-source physiological data-driven method for evaluating the mental workload of operators in remote control environment
Zhihong Li, Di Zhang, Wenchen Lyu, et al.
Safety Science (2025) Vol. 187, pp. 106864-106864
Closed Access
Sensor-based indicators of performance changes between sessions during robotic surgery training
Chuhao Wu, S. Jackie, Jay Sulek, et al.
Applied Ergonomics (2020) Vol. 90, pp. 103251-103251
Open Access | Times Cited: 31
Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications
Hongzuo Chu, Yong Cao, Jin Jiang, et al.
BioMedical Engineering OnLine (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Cognitive Workload Estimation in Conditionally Automated Vehicles Using Transformer Networks Based on Physiological Signals
Ange Wang, Jiyao Wang, Wenxin Shi, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access | Times Cited: 3
A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles
Stephanie Balters, Joseph M. Baker, Joseph W. Geeseman, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 22
Demonstrating Brain-Level Interactions Between Visuospatial Attentional Demands and Working Memory Load While Driving Using Functional Near-Infrared Spectroscopy
Jakob Scheunemann, Anirudh Unni, Klas Ihme, et al.
Frontiers in Human Neuroscience (2019) Vol. 12
Open Access | Times Cited: 24
Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression
Quentin Meteier, Emmanuel de Salis, Marine Capallera, et al.
Frontiers in Computer Science (2022) Vol. 3
Open Access | Times Cited: 12
A systematic review on the influence factors, measurement, and effect of driver workload
Jun Ma, Yiping Wu, Jian Rong, et al.
Accident Analysis & Prevention (2023) Vol. 192, pp. 107289-107289
Closed Access | Times Cited: 7
Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiogram-Based Spectrogram with Lightweight Neural Network
Wenxin Shi, Z. D. Wang, Ange Wang, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access | Times Cited: 2
Unsupervised fNIRS feature extraction with CAE and ESN autoencoder for driver cognitive load classification
Ruixue Liu, Bryan Reimer, Siyang Song, et al.
Journal of Neural Engineering (2020) Vol. 18, Iss. 3, pp. 036002-036002
Closed Access | Times Cited: 17
A Comprehensive Review of Driver’s Attention and the Evaluation Methods
Elahe Abbasi, Yueqing Li
Computational Research Progress in Applied Science and Engineering (2021) Vol. 7, Iss. 3, pp. 1-4
Open Access | Times Cited: 14
Reference Values of Regional Oxygen Saturation (rSO2) Determined by Near-Infrared Spectroscopy (NIRS) for 18 Selected Regions of Interest (ROIs) in Young and Elderly Healthy Volunteers
Anna Lubkowska, Aleksandra Radecka, Waldemar Pluta, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1307-1307
Open Access | Times Cited: 1
Mental Workload Modeling by Using Machine Learning Techniques Based on EEG and Eye Tracking Data
Şeniz Harputlu Aksu, Erman Çakıt, Metin Dağdeviren
(2024)
Open Access | Times Cited: 1
EEG and fNIRS are associated with situation awareness (hazard) prediction during a driving task
Elena K. Festa, Bethany K. Bracken, Phillip C. Desrochers, et al.
Ergonomics (2024) Vol. 67, Iss. 12, pp. 1993-2008
Closed Access | Times Cited: 1
Classification of Cognitive Load Based on Neurophysiological Features From Functional Near-Infrared Spectroscopy and Electrocardiography Signals on n-Back Task
Ivan Kesedžić, Marko Šarlija, Jelena Božek, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 13, pp. 14131-14140
Closed Access | Times Cited: 12
Functional near-infrared spectroscopy as a potential objective evaluation technique in neurocognitive disorders after traumatic brain injury
Fan Chang, Haozhe Li, Ningning Li, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 6
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