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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:

Drowsiness, Fatigue and Poor Sleep’s Causes and Detection: A Comprehensive Study
Muhammad Ahmad Kamran, Malik Muhammad Naeem Mannan, Myung Yung Jeong
IEEE Access (2019) Vol. 7, pp. 167172-167186
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

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
Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal
Venkata Phanikrishna Balam, Suchismitha Chinara
Journal of Neuroscience Methods (2020) Vol. 347, pp. 108927-108927
Closed Access | Times Cited: 86
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
Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety
Senthil Kumar Jagatheesaperumal, Simon Elias Bibri, Jeffrey Huang, et al.
Computational Urban Science (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 11
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
A Hybrid Speller Design Using Eye Tracking and SSVEP Brain–Computer Interface
Malik Muhammad Naeem Mannan, Muhammad Ahmad Kamran, Shinil Kang, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 891-891
Open Access | Times Cited: 44
Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram
Venkata Phanikrishna Balam, Venkata Udaya Sameer, Suchismitha Chinara
IET Intelligent Transport Systems (2021) Vol. 15, Iss. 4, pp. 514-524
Closed Access | Times Cited: 40
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
Real-time anti-sleep alert algorithm to prevent road accidents to ensure road safety
Abhishek Kumar Pathak, Ankit Kumar Singh, Pankaj Kumar, et al.
Frontiers in Future Transportation (2025) Vol. 6
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
Utilizing EEG and fNIRS for the detection of sleep-deprivation-induced fatigue and its inhibition using colored light stimulation
Zeshan Shoaib, Arbab Akbar, Eung Soo Kim, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Detection of air traffic controllers’ fatigue using voice analysis - An EEG validation study
Petr Kouba, Michal Šmotek, Tomáš Tichý, et al.
International Journal of Industrial Ergonomics (2023) Vol. 95, pp. 103442-103442
Open Access | Times Cited: 9
FatigueView: A Multi-Camera Video Dataset for Vision-Based Drowsiness Detection
Cong Yang, Zhenyu Yang, Weiyu Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 1, pp. 233-246
Closed Access | Times Cited: 14
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
Andrea Giorgi, Vincenzo Ronca, Alessia Vozzi, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 7
Research on Driver’s Fatigue Detection Based on Information Fusion
Meiyan Zhang, Boqi Zhao, Jipu Li, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 1039-1061
Open Access | Times Cited: 2
Drowsiness detection in real-time via convolutional neural networks and transfer learning
Dina Salem, Mohamed Waleed
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 2
EEG Signal Multichannel Frequency-Domain Ratio Indices for Drowsiness Detection Based on Multicriteria Optimization
Igor Stančin, Nikolina Frid, Mario Cifrek, et al.
Sensors (2021) Vol. 21, Iss. 20, pp. 6932-6932
Open Access | Times Cited: 17
Customized deep learning algorithm for drowsiness detection using single-channel EEG signal
Allam Jaya Prakash, Saunak Samantray, Chinmaya Behara, et al.
Elsevier eBooks (2022), pp. 189-201
Closed Access | Times Cited: 11
Automatic Sleep Staging Algorithm Based on Time Attention Mechanism
Li-Xiao Feng, Xin Li, Hongyu Wang, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 14
Validation of an EEG-based Neurometric for online monitoring and detection of mental drowsiness while driving
Vincenzo Ronca, Gianluca Di Flumeri, Alessia Vozzi, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3714-3717
Closed Access | Times Cited: 10
Drowsiness Detection Using Ocular Indices from EEG Signal
Sreeza Tarafder, Nasreen Badruddin, Norashikin Yahya, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4764-4764
Open Access | Times Cited: 8
Validating Photoplethysmography (PPG) data for driver drowsiness detection
Andrea Amidei, P. G. Fallica, Sabrina Conoci, et al.
(2021), pp. 147-151
Open Access | Times Cited: 10
Real-Time Driver Sleepiness Detection and Classification Using Fusion Deep Learning Algorithm
Anand Singh Rajawat, S. B. Goyal, Pawan Bhaladhare, et al.
Lecture notes in electrical engineering (2023), pp. 447-457
Closed Access | Times Cited: 3
"IoT-Based Vehicle Monitoring and Driver Assistance System Framework for Safety and Smart Fleet Management"
Bhuvendhraa Rudrusamy, Hock Chye Teoh, Jia Yew Pang, et al.
International Journal of Integrated Engineering (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Leveraging Deep Learning for Inattentive Driving Behavior with In-Vehicle Cameras
Shanhong Liu, Radu Mureşan, Arafat Al‐Dweik
2022 International Symposium on Networks, Computers and Communications (ISNCC) (2020)
Closed Access | Times Cited: 4
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