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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:

Cross-Subject Zero Calibration Driver’s Drowsiness Detection: Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification
João Paulo, Gabriel Pires, Urbano Nunes
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 905-915
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection
Dongrui Gao, Pengrui Li, Manqing Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2558-2568
Closed Access | Times Cited: 43
Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning
Ayman Altameem, Ankit Kumar, Ramesh Chandra Poonia, et al.
IEEE Access (2021) Vol. 9, pp. 162805-162819
Open Access | Times Cited: 60
Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022)
Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, et al.
IEEE Access (2023) Vol. 11, pp. 74736-74758
Open Access | Times Cited: 32
Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue
Mohammad Shahbakhti, Matin Beiramvand, Erfan Nasiri, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2037-2046
Open Access | Times Cited: 24
BECT Spike Detection Based on Novel EEG Sequence Features and LSTM Algorithms
Zhendi Xu, Tianlei Wang, Jiuwen Cao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1734-1743
Open Access | Times Cited: 41
End-to-end fatigue driving EEG signal detection model based on improved temporal-graph convolution network
Huijie Jia, Zhongjun Xiao, Peng Ji
Computers in Biology and Medicine (2022) Vol. 152, pp. 106431-106431
Closed Access | Times Cited: 26
Multiscale Temporal Self-Attention and Dynamical Graph Convolution Hybrid Network for EEG-Based Stereogram Recognition
Lili Shen, Mingyang Sun, Qunxia Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1191-1202
Open Access | Times Cited: 25
A systematic review of physiological signals based driver drowsiness detection systems
Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 5, pp. 1229-1259
Closed Access | Times Cited: 23
An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue
Pengrui Li, Yongqing Zhang, Shihong Liu, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110613-110613
Closed Access | Times Cited: 15
An EEG-based cross-subject interpretable CNN for game player expertise level classification
Liqi Lin, Pengrui Li, Q. Wang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121658-121658
Closed Access | Times Cited: 13
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
Test-Time Adaptation for EEG-Based Driver Drowsiness Classification
Geun-Deok Jang, Dong‐Kyun Han, Seong‐Whan Lee
Lecture notes in computer science (2025), pp. 410-424
Closed Access
Study on tower crane drivers’ fatigue detection based on conditional empirical mode decomposition and multi-scale attention convolutional neural network
Daping Chen, Fuwang Wang
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107662-107662
Closed Access
A multidimensional adaptive transformer network for fatigue detection
Dingming Wu, Liu Deng, Qiang Lü, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
CM-FusionNet: A cross-modal fusion fatigue detection method based on electroencephalogram and electrooculogram
Fuzhong Huang, Chunfeng Yang, Wei Weng, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110204-110204
Closed Access
An Efficient Approach of Face Detection and Prediction of Drowsiness Using SVM
Ratnesh Kumar Shukla, Arvind Kumar Tiwari, Ashish Kumar Jha
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 12
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
A Survey of EEG-Based Driver State and Behavior Detection for Intelligent Vehicles
Jiawei Ju, Hongqi Li
IEEE Transactions on Biometrics Behavior and Identity Science (2024) Vol. 6, Iss. 3, pp. 420-434
Closed 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
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet
Alberto Zancanaro, Giulia Cisotto, João Paulo, et al.
(2021), pp. 1-7
Open Access | Times Cited: 25
Recent Advances in Fatigue Detection Algorithm Based on EEG
Fei Wang, Yinxing Wan, Man Li, et al.
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3573-3586
Open Access | Times Cited: 16
A General and Scalable Vision Framework for Functional Near-Infrared Spectroscopy Classification
Zenghui Wang, Jun Zhang, Yi Xia, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1982-1991
Open Access | Times Cited: 13
EEG_DMNet: A Deep Multi-Scale Convolutional Neural Network for Electroencephalography-Based Driver Drowsiness Detection
Hanan Bin Obaidan, Muhammad Hussain, Reham Al-Majed
Electronics (2024) Vol. 13, Iss. 11, pp. 2084-2084
Open Access | Times Cited: 2
A Hybrid Deep Neural Network Approach to Recognize Driving Fatigue Based on EEG Signals
Mohammed Alghanim, Hani Attar, Khosro Rezaee, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Attention-based multi-semantic dynamical graph convolutional network for eeg-based fatigue detection
Haojie Liu, Quan Liu, Mincheng Cai, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
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