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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:

Classification of pilots’ mental states using a multimodal deep learning network
Soo-Yeon Han, No-Sang Kwak, Taegeun Oh, et al.
Journal of Applied Biomedicine (2019) Vol. 40, Iss. 1, pp. 324-336
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

A comprehensive review of predictive analytics models for mental illness using machine learning algorithms
Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100350-100350
Open Access | Times Cited: 8
A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
Musa Nehemiah, Abdulsalam Ya’u Gital, Nahla Aljojo, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 9677-9750
Open Access | Times Cited: 38
A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning
Fan Liu, Delong Chen, Jun Zhou, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105399-105399
Closed Access | Times Cited: 35
Advancing Aviation Safety Through Machine Learning and Psychophysiological Data: A Systematic Review
Ibrahim Alreshidi, Irene Moulitsas, Karl Jenkins
IEEE Access (2024) Vol. 12, pp. 5132-5150
Open Access | Times Cited: 7
Detection of mental fatigue state using heart rate variability and eye metrics during simulated flight
Hao Qin, Xiaozhou Zhou, Xuhan Ou, et al.
Human Factors and Ergonomics in Manufacturing & Service Industries (2021) Vol. 31, Iss. 6, pp. 637-651
Closed Access | Times Cited: 33
Recognition of the Mental Workloads of Pilots in the Cockpit Using EEG Signals
Aura Hernàndez-Sabaté, José Yauri, Pau Folch, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2298-2298
Open Access | Times Cited: 26
Future air transportation and digital work at airports – Review and developments
Josephine Thums, Laura Künzel, Matthias Klumpp, et al.
Transportation Research Interdisciplinary Perspectives (2023) Vol. 19, pp. 100808-100808
Open Access | Times Cited: 14
Automated detection of driver fatigue from electroencephalography through wavelet-based connectivity
Amirmasoud Ahmadi, Hanieh Bazregarzadeh, Kamran Kazemi
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 316-332
Closed Access | Times Cited: 33
A modified mental workload model based on CREAM in the complex scenarios of advanced main control room in the nuclear power plant
Shengyuan Yan, X. L. Zhang, Xin Liu
Nuclear Engineering and Design (2025) Vol. 432, pp. 113838-113838
Closed Access
Temporal Relation Modeling and Multimodal Adversarial Alignment Network for Pilot Workload Evaluation
Xinhui Li, Ao Li, Wenyu Fu, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2025) Vol. 13, pp. 85-97
Open Access
Capturing Mental Workload Through Physiological Sensors in Human–Robot Collaboration: A Systematic Literature Review
Eduarda Pereira, Luis Sigcha, Emanuel Silva, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3317-3317
Open Access
A glimpse ahead: Forecasting 5.5-s human vigilance for enhanced safety in Industry 5.0
Ettore Cinquetti, I. Siviero, Fabio Babiloni, et al.
Journal of Applied Biomedicine (2025) Vol. 45, Iss. 2, pp. 258-268
Closed Access
On Error Classification from Physiological Signals within Airborne Environment
Niall McGuire, Yashar Moshfeghi
(2025), pp. 1-8
Closed Access
Predicting hospital emergency department visits with deep learning approaches
Xinxing Zhao, Joel Weijia Lai, Andrew Fu Wah Ho, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1051-1065
Closed Access | Times Cited: 18
Multimodal Approach for Pilot Mental State Detection Based on EEG
Ibrahim Alreshidi, Irene Moulitsas, Karl Jenkins
Sensors (2023) Vol. 23, Iss. 17, pp. 7350-7350
Open Access | Times Cited: 9
A neuroergonomics approach to investigate the mental workload of drivers in real driving settings
Hilal ATICI ULUSU, Özlem Taşkapılıoğlu, Tülin GÜNDÜZ
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 103, pp. 177-189
Closed Access | Times Cited: 3
Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification
Sunil Kumar Prabhakar, Harikumar Rajaguru
Heliyon (2020) Vol. 6, Iss. 12, pp. e05689-e05689
Open Access | Times Cited: 25
Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics
Shankar S. Gupta, Trupti Taori, Mahesh Y. Ladekar, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103070-103070
Closed Access | Times Cited: 23
The effect of mental schema evolution on mental workload measurement: an EEG study with simulated quadrotor UAV operation
Heng Gu, Qunli Yao, He Chen, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 2, pp. 026058-026058
Closed Access | Times Cited: 15
Smart cushion-based non-invasive mental fatigue assessment of construction equipment operators: A feasible study
Lei Wang, Heng Li, Yongliang Yao, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102134-102134
Closed Access | Times Cited: 9
Investigating an Integrated Sensor Fusion System for Mental Fatigue Assessment for Demanding Maritime Operations
Thiago Gabriel Monteiro, Guoyuan Li, Charlotte Skourup, et al.
Sensors (2020) Vol. 20, Iss. 9, pp. 2588-2588
Open Access | Times Cited: 22
Cognitive Workload Classification in Industry 5.0 Applications: Electroencephalography-Based Bi-Directional Gated Network Approach
Muhammad Abrar Afzal, Zhenyu Gu, Bilal Afzal, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 4008-4008
Open Access | Times Cited: 7
ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification
Sunil Kumar Prabhakar, Seong‐Whan Lee
Applied Soft Computing (2022) Vol. 117, pp. 108416-108416
Closed Access | Times Cited: 11
Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks
Jarosław Żygierewicz, Romuald A. Janik, Igor T. Podolak, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046053-046053
Open Access | Times Cited: 11
A Review of Strategies to Detect Fatigue and Sleep Problems in Aviation: Insights from Artificial Intelligence
Yan Li, Jwu‐Sheng Hu
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
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