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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.

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Showing 1-25 of 88 citing articles:

EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network
Jian Cui, Zirui Lan, Olga Sourina, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7921-7933
Open Access | Times Cited: 93
Recognising drivers’ mental fatigue based on EEG multi-dimensional feature selection and fusion
Yuhao Zhang, Hanying Guo, Yongjiang Zhou, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104237-104237
Closed Access | Times Cited: 40
Driving drowsiness detection using spectral signatures of EEG-based neurophysiology
Saad Arif, Saba Munawar, Hashim Ali
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 23
EEG-based neural networks approaches for fatigue and drowsiness detection: A survey
Alice Othmani, Aznul Qalid Md Sabri, Sinem Aslan, et al.
Neurocomputing (2023) Vol. 557, pp. 126709-126709
Open Access | Times Cited: 19
Cross-subject classification of depression by using multiparadigm EEG feature fusion
Jianli Yang, Zhen Zhang, Zhiyu Fu, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 233, pp. 107360-107360
Closed Access | Times Cited: 17
Reviewing CAM-Based Deep Explainable Methods in Healthcare
Dan Tang, J.J. Chen, Lijuan Ren, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4124-4124
Open Access | Times Cited: 6
Structural analysis of driver fatigue behavior: A systematic review
Hui Zhang, Dingan Ni, Naikan Ding, et al.
Transportation Research Interdisciplinary Perspectives (2023) Vol. 21, pp. 100865-100865
Open Access | Times Cited: 15
Facial Feature-Based Drowsiness Detection With Multi-Scale Convolutional Neural Network
V. Vijaypriya, Uma M
IEEE Access (2023) Vol. 11, pp. 63417-63429
Open Access | Times Cited: 14
T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network
Bo Peng, Yongqing Zhang, Manqing Wang, et al.
Computational Biology and Chemistry (2023) Vol. 104, pp. 107863-107863
Closed Access | Times Cited: 13
Explainable artificial intelligence approaches for brain–computer interfaces: a review and design space
Param Rajpura, Hubert Cecotti, Yogesh Kumar Meena
Journal of Neural Engineering (2024) Vol. 21, Iss. 4, pp. 041003-041003
Open Access | Times Cited: 5
ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network
Xiao Feng, Zhongyuan Guo, Sam Kwong
Frontiers in Neuroscience (2025) Vol. 18
Open Access
A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
Fan Li, Han Su, Ching‐Hung Lee, et al.
International Journal of Human-Computer Interaction (2025), pp. 1-14
Closed Access
Recognizing drivers’ sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network
Yingying Jiao, Xiujin He
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-15
Closed Access
FPGA-accelerated hybrid CNN-LSTM system for efficient EEG-based drowsiness recognition
Rama Muni Reddy Yanamala, P. Muralidhar
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
GCN-MLP Framework for EEG-Based Vigilance Estimation for Variable Data Length
Ravi Shekhar Tiwari, Shabnam Samima, Tauheed Ahmed
Lecture notes in computer science (2025), pp. 281-294
Closed Access
In-Depth Inception–Attention Time Model: An Application for Driver Drowsiness Detection
M.J. Lee, Minsu Cha, Jiyoung Woo
Electronics (2025) Vol. 14, Iss. 6, pp. 1069-1069
Open Access
EEG-Based Index for Timely Detecting User’s Drowsiness Occurrence in Automotive Applications
Gianluca Di Flumeri, Vincenzo Ronca, Andrea Giorgi, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 20
Evolution of Driver Fatigue Detection Techniques—A Review From 2007 to 2021
Mukesh Kumar Kamti, Rauf Iqbal
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2676, Iss. 12, pp. 485-507
Closed Access | Times Cited: 19
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, et al.
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1253-1267
Open Access | Times Cited: 4
TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG
Peiliang Gong, Pengpai Wang, Yueying Zhou, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7004-7016
Closed Access | Times Cited: 4
Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controller’s human errors
Fan Li, Chun‐Hsien Chen, Ching‐Hung Lee, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108047-108047
Open Access | Times Cited: 25
SPARK: A High-Efficiency Black-Box Domain Adaptation Framework for Source Privacy-Preserving Drowsiness Detection
Liqiang Yuan, Ruilin Li, Jian Cui, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3478-3488
Closed Access | Times Cited: 3
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: 22
Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model
Jian Cui, Zirui Lan, Tianhu Zheng, et al.
(2021), pp. 201-208
Open Access | Times Cited: 21
Driver drowsiness detection methods using EEG signals: a systematic review
Raed Mohammed Hussein, Firas Sabar Miften, Loay E. George
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 26, Iss. 11, pp. 1237-1249
Closed Access | Times Cited: 14
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