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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 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

Showing 1-25 of 34 citing articles:

Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
Samy Abd El‐Nabi, Walid El‐Shafai, El‐Sayed M. El‐Rabaie, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 3, pp. 9441-9477
Closed Access | Times Cited: 39
A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks
Sevda Zafarmandi Ardabili, Soufia Bahmani, Lida Zare Lahijan, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 364-364
Open Access | Times Cited: 19
Identification of Alzheimer’s disease from central lobe EEG signals utilizing machine learning and residual neural network
Islam A. Fouad, Fatma El-Zahraa M. Labib
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105266-105266
Closed Access | Times Cited: 26
Electroencephalography signals-based sparse networks integration using a fuzzy ensemble technique for depression detection
Surbhi Soni, Ayan Seal, Sraban Kumar Mohanty, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104873-104873
Closed Access | Times Cited: 22
A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals
Andrea V. Perez-Sanchez, Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105659-105659
Closed Access | Times Cited: 20
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: 18
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
Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion
Meenakshi Malik, Preeti Sharma, Gurpreet Kaur Punj, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Psychophysiological Impact of Touching Landscape Grass among Older Adults
Ahmad Hassan, Zhang Deshun
Journal of Urban Health (2024) Vol. 101, Iss. 4, pp. 792-803
Closed Access | Times Cited: 3
Driver Drowsiness Detection Based on Convolutional Neural Network Architecture Optimization Using Genetic Algorithm
Yashar Jebraeily, Yousef Sharafi, Mohammad Teshnehlab
IEEE Access (2024) Vol. 12, pp. 45709-45726
Closed Access | Times Cited: 2
Efficient Generalized EEG-Based Drowsiness Detection Approach with Minimal Electrodes
Aymen Zayed, Nidhameddine Belhadj, Khaled Ben Khalifa, et al.
(2024)
Open Access | Times Cited: 2
Characterisation of Cognitive Load Using Machine Learning Classifiers of Electroencephalogram Data
Qi Wang, Daniel Smythe, Jun Cao, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8528-8528
Open Access | Times Cited: 5
Research on the application of the Sleep EEG Net model based on domain adaptation transfer in the detection of driving fatigue
Fuwang Wang, Tianshu Gu, W. J. Yao
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105832-105832
Closed Access | Times Cited: 5
Drowsiness and Emotion Detection of Drivers for Improved Road Safety
Nishat Anjum Lea, Sadia Sharmin, Awal Ahmed Fime
Lecture notes in computer science (2024), pp. 13-26
Closed Access | Times Cited: 1
Advanced detection techniques for driver drowsiness: a comprehensive review of machine learning, deep learning, and physiological approaches
Muskan Kamboj, Karuna Kadian, Vimal Dwivedi, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Novel approach of Predicting Human Sentiment using Deep Learning
Ebtesam Shadadi, Shama Kouser, Latifah Alamer, et al.
Journal of Computer Science and Engineering (JCSE) (2022) Vol. 3, Iss. 2, pp. 107-119
Open Access | Times Cited: 3
Enhanced Driver Drowsiness Detection Solution with CNN Algorithm Integration
Varsha Dewangan
International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence
Hafeez Ur Rehman Siddiqui, Ambreen Akmal, Muhammad Iqbal, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3754-3754
Open Access
FSTA-Net: Motor Imagery EEG Decoding Based on Frequency-Spatial-Time Features
Wenju Li, Yue Ma, Pengjie Qin, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24031-24043
Closed Access
Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes
Aymen Zayed, Nidhameddine Belhadj, Khaled Ben Khalifa, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4256-4256
Open Access
Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers
S. K. Niranjan, T. Jemima Jebaseeli, A. Samson Arun Raj, et al.
Lecture notes in networks and systems (2024), pp. 131-141
Closed Access
EEG‐Based Emotion Recognition Datasets for Virtual Environments: A Survey
Hussein Ali Hamzah, Kasim K. Abdalla
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access
An Efficient Deep Learning Technique for Driver Drowsiness Detection
Abhineet Ranjan, Sanjeev Sharma, Prajwal Mate, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Awake at the Wheel: Enhancing Automotive Safety Through EEG-Based Fatigue Detection
Gourav Siddhad, Sayantan Dey, Partha Pratim Roy, et al.
Lecture notes in computer science (2024), pp. 340-353
Closed Access
Drowsiness Detection System in Drivers Using Micro-Maneuvers on the Steering Wheel and Machine Learning to Prevent Nighttime Traffic Accidents
Charly Alvarez Heredia, Freddy Jamer Alvarez Huacasi, Yunior Edwin Vargas Apfata, et al.
International Journal of Electrical and Electronics Engineering (2024) Vol. 11, Iss. 11, pp. 114-121
Closed Access
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