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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:

Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks
Yingying Jiao, Yini Deng, Yun Luo, et al.
Neurocomputing (2020) Vol. 408, pp. 100-111
Closed Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Deep Learning in Mining Biological Data
Mufti Mahmud, M. Shamim Kaiser, T.M. McGinnity, et al.
Cognitive Computation (2021) Vol. 13, Iss. 1, pp. 1-33
Open Access | Times Cited: 350
A review on transfer learning in EEG signal analysis
Zitong Wan, Rui Yang, Mengjie Huang, et al.
Neurocomputing (2020) Vol. 421, pp. 1-14
Closed Access | Times Cited: 346
Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Essam H. Houssein, Asmaa Hammad, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 15, pp. 12527-12557
Open Access | Times Cited: 213
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Igor Stančin, Mario Cifrek, Alan Jović
Sensors (2021) Vol. 21, Iss. 11, pp. 3786-3786
Open Access | Times Cited: 182
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition
Hao Chen, Ming Jin, Zhunan Li, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 104
Deep transfer learning approaches for Monkeypox disease diagnosis
Md Manjurul Ahsan, Muhammad Ramiz Uddin, Md Shahin Ali, et al.
Expert Systems with Applications (2023) Vol. 216, pp. 119483-119483
Open Access | Times Cited: 84
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction
Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 877-877
Open Access | Times Cited: 22
Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture
Erdem Tuncer, Emine Doğru Bolat
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103462-103462
Closed Access | Times Cited: 61
Real-Time Monitoring System of Automobile Driver Status and Intelligent Fatigue Warning Based on Triboelectric Nanogenerator
Yuhong Xu, Weixiong Yang, Xin Yu, et al.
ACS Nano (2021) Vol. 15, Iss. 4, pp. 7271-7278
Closed Access | Times Cited: 55
Developing a Deep Neural Network for Driver Fatigue Detection Using EEG Signals Based on Compressed Sensing
Sobhan Sheykhivand, Tohid Yousefi Rezaii, Saeed Meshgini, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2941-2941
Open Access | Times Cited: 39
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery
Fangzhou Xu, Gege Dong, Jincheng Li, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 09
Closed Access | Times Cited: 38
Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion
Chen He, Pengpeng Xu, Xin Pei, et al.
Accident Analysis & Prevention (2024) Vol. 199, pp. 107511-107511
Closed Access | Times Cited: 12
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring
Sakib Mahmud, Muhammad E. H. Chowdhury, Serkan Kıranyaz, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123167-123167
Open Access | Times Cited: 7
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks
Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 10, pp. 4913-4924
Closed Access | Times Cited: 51
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part I: Cardiac Signals
Radek Martínek, Martina Ládrová, Michaela Šidiková, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5186-5186
Open Access | Times Cited: 49
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
A robust and efficient EEG-based drowsiness detection system using different machine learning algorithms
Islam A. Fouad
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 3, pp. 101895-101895
Open Access | Times Cited: 34
Motor Imagery Classification Using Inter-Task Transfer Learning via a Channel-Wise Variational Autoencoder-Based Convolutional Neural Network
Do-Yeun Lee, Ji-Hoon Jeong, Byeong-Hoo Lee, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 226-237
Open Access | Times Cited: 33
Monitoring fatigue and drowsiness in motor vehicle occupants using electrocardiogram and heart rate − A systematic review
A. W. Q. da Freitas, Rute Almeida, Hernâni Gonçalves, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 103, pp. 586-607
Open Access | Times Cited: 5
An EEG-based single-channel dual-stream automatic sleep staging network with transfer learning
Shaofei Ying, Pengrui Li, Jiping Chen, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112722-112722
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
Prior knowledge-guided multi-information graph convolutional network for driver drowsiness detection
Wei Feng, Jucheng Yang, Yuan Wang, et al.
Expert Systems with Applications (2025), pp. 127028-127028
Closed Access
A Hybrid Driver Fatigue and Distraction Detection Model Using AlexNet Based on Facial Features
Salma Anber, Wafaa Alsaggaf, Wafaa M. Shalash
Electronics (2022) Vol. 11, Iss. 2, pp. 285-285
Open Access | Times Cited: 24
Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey
Min Wang, Xuefei Yin, Yanming Zhu, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5111-5111
Open Access | Times Cited: 23
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: 22
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