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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:

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: 25

Showing 25 citing articles:

Novel Transfer Learning Approach for Driver Drowsiness Detection Using Eye Movement Behavior
Hamza Ahmad Madni, Ali Raza, Rukhshanda Sehar, et al.
IEEE Access (2024) Vol. 12, pp. 64765-64778
Open Access | Times Cited: 6
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
Efficient Embedded System for Drowsiness Detection Based on EEG Signals: Features Extraction and Hardware Acceleration
Aymen Zayed, Emanuel Trabes, Jimmy Tarrillo, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 404-404
Open 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
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification
Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, A.A. Khurshid, et al.
Frontiers in Computational Neuroscience (2025) Vol. 19
Open Access
Beta-band power modulation in the human amygdala during a delayed reach task
Shivani Sundaram, Xiecheng Shao, Ryan S. Chung, et al.
Journal of Clinical Neuroscience (2025) Vol. 135, pp. 111151-111151
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
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
EEG-based multi-band functional connectivity using corrected amplitude envelope correlation for identifying unfavorable driving states
Jichi Chen, Yujie Wang, Yuguo Cui, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-13
Closed Access
Optimized driver fatigue detection method using multimodal neural networks
ShenHong Cao, Peihua Feng, Wei Kang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling technique
Noor Afshan, Zohaib Mushtaq, Faten S. Alamri, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 10, pp. 24274-24309
Open Access | Times Cited: 7
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
An optimized deep hybrid learning for multi-channel EEG-based driver drowsiness detection
Imene Latreche, Sihem Slatnia, Okba Kazar, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106881-106881
Closed Access | Times Cited: 2
Leveraging Wavelets and Deep CNN for Sleep Pattern Recognition in Road Safety: An EEG Study
Saad Arif, Saba Munawar, Rashiq Rafiq Marie, et al.
Communications in computer and information science (2024), pp. 227-241
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
What would affect drivers’ stop-and-go decisions at yellow dilemma zones? A driving simulator study in Hong Kong
Wenjing Zhao, Ruifeng Gu, N.N. Sze
Accident Analysis & Prevention (2024) Vol. 207, pp. 107767-107767
Closed Access | Times Cited: 1
Analysis of a Backpropagation Neural Network Training Algorithm for EEG-Based Drowsiness Identification
Annida Rahmawati, Muchtar Ali Setyo Yudono, Aulia Darojatun, et al.
(2023), pp. 396-401
Closed Access | Times Cited: 2
Scaling effectivity in manifold methodologies to detect driver’s fatigueness and drowsiness state
Gowrishankar Shiva Shankara Chari, Jyothi Arcot Prashant
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 1227-1227
Open Access
Enhancing Road Safety: The Role of Intelligent Driver Drowsiness Detection Systems
Sagar Patra, Ballani Charan Kumar, Anupam Pal, et al.
SSRN Electronic Journal (2024)
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
Eye State Classification Method for Detecting Physiological Deviations in Drivers Based on CNN Algorithm
Fayzullo Makhmadiyarovich Nazarov, Munis M. Xamidov
2022 International Russian Automation Conference (RusAutoCon) (2024), pp. 802-807
Closed Access
Enhancing Road Safety: The Role of Intelligent Driver Drowsiness Detection Systems
Shanu Khare, Navjot Singh Talwandi
(2024), pp. 1-4
Closed Access
Driver Drowsiness Detection Using Wearable Brain Sensing Headband and Three-Level Voting Model
Qazal Rezaee, Mehdi Delrobaei, Mahdi Aliyari Shoorehdeli
(2023)
Open Access
Driver Drowsiness Detection Using Wearable Brain Sensing Headband and Three-Level Voting Model
Qazal Rezaee, Mehdi Delrobaei, Mahdi Aliyari Shoorehdeli
(2023)
Open Access
Exploring EEG Frequency Bands as a Feature for Machine Learning in Drowsiness Detection
Aulia Darojatun, Papat Hidayatulloh, Annida Rahmawati, et al.
(2023), pp. 430-435
Closed Access
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