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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 WPCA-Based Method for Detecting Fatigue Driving From EEG-Based Internet of Vehicles System
Na Dong, Yingjie Li, Zhongke Gao, et al.
IEEE Access (2019) Vol. 7, pp. 124702-124711
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A Review of Recent Developments in Driver Drowsiness Detection Systems
Yaman Albadawi, Maen Takruri, Mohammed Awad
Sensors (2022) Vol. 22, Iss. 5, pp. 2069-2069
Open Access | Times Cited: 104
Boosted GRU model for short-term forecasting of wind power with feature-weighted principal component analysis
Yulong Xiao, Chongzhe Zou, Hetian Chi, et al.
Energy (2022) Vol. 267, pp. 126503-126503
Closed Access | Times Cited: 88
Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network
Younes Ed-doughmi, Najlae Idrissi, Youssef Hbali
Journal of Imaging (2020) Vol. 6, Iss. 3, pp. 8-8
Open Access | Times Cited: 80
Cloud-Based Driver Monitoring System Using a Smartphone
Alexey Kashevnik, Igor Lashkov, Andrew Ponomarev, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 12, pp. 6701-6715
Closed Access | Times Cited: 73
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 dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals
Türker Tuncer, Şengül Doğan, Fatih Ertam, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 2, pp. 223-237
Open Access | Times Cited: 56
Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing
Naveen Senniappan Karuppusamy, Bo‐Yeong Kang
IEEE Access (2020) Vol. 8, pp. 129645-129667
Open Access | Times Cited: 54
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
A new hand-modeled learning framework for driving fatigue detection using EEG signals
Şengül Doğan, Ilknur Tuncer, Mehmet Bayğın, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 20, pp. 14837-14854
Closed Access | Times Cited: 14
Partial directed coherence based graph convolutional neural networks for driving fatigue detection
Weiwei Zhang, Fei Wang, Shichao Wu, et al.
Review of Scientific Instruments (2020) Vol. 91, Iss. 7
Closed Access | Times Cited: 31
Automated detection of driver fatigue from electroencephalography through wavelet-based connectivity
Amirmasoud Ahmadi, Hanieh Bazregarzadeh, Kamran Kazemi
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 316-332
Closed Access | Times Cited: 31
Effects of Level 3 Automated Vehicle Drivers’ Fatigue on Their Take-Over Behaviour: A Literature Review
Hanying Guo, Yuhao Zhang, Shanshan Cai, et al.
Journal of Advanced Transportation (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 25
Physiological-based Driver Monitoring Systems: A Scoping Review
Abdul Razak, Sumendra Yogarayan, Azlan Abd Aziz, et al.
Civil Engineering Journal (2022) Vol. 8, Iss. 12, pp. 3952-3967
Open Access | Times Cited: 17
Driver Fatigue Detection via Differential Evolution Extreme Learning Machine Technique
Long Chen, Xiaojie Zhi, Hai Wang, et al.
Electronics (2020) Vol. 9, Iss. 11, pp. 1850-1850
Open Access | Times Cited: 25
Driver drowsiness detection methods using EEG signals: a systematic review
Raed Mohammed Hussein, Firas Sabar Miften, Loay E. George
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 26, Iss. 11, pp. 1237-1249
Closed Access | Times Cited: 14
Automated technique for EEG signal processing to detect seizure with optimized Variable Gaussian Filter and Fuzzy RBFELM classifier
A Harishvijey, J. Benadict Raja
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103450-103450
Closed Access | Times Cited: 11
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
A Roadmap Towards Standards for Neurally Controlled End Effectors
Andrew Paek, Justin Brantley, Akshay Sujatha Ravindran, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2021) Vol. 2, pp. 84-90
Open Access | Times Cited: 11
Computing driver tiredness and fatigue in automobile via eye tracking and body movements
Nada Mohammed Murad, Lilia Rejeb, Lamjed Ben Saïd
Periodicals of Engineering and Natural Sciences (PEN) (2022) Vol. 10, Iss. 1, pp. 573-573
Open Access | Times Cited: 4
A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals
Le He, Li Zhang, Xiangtian Lin, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 6, pp. 1781-1793
Closed Access
Towards Improving the Saccade Angle Recognition Using the Sensitivity Weights of Channels
Jianning Hua, Qinghua Luo, Lintao Xu, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 4, pp. 539-547
Closed Access
Drop-Off System Using Machine Learning for Drivers
T. Priyanka, E. Gowtham Dharma, E. M. Alexander, et al.
Lecture notes in networks and systems (2024), pp. 347-355
Closed Access
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents
Soraia Oueida, Soaad Hossain, Yehia Kotb, et al.
Lecture notes in networks and systems (2021), pp. 431-444
Closed Access | Times Cited: 3
Determination of dangerous driving behavior based on the use of information from wearable electronic devices
Igor Lashkov
Scientific and technical journal of information technologies mechanics and optics (2021) Vol. 21, Iss. 4, pp. 515-524
Open Access | Times Cited: 2
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents.
Soraia Oueida, Soaad Hossain, Yehia Kotb, et al.
arXiv (Cornell University) (2021)
Closed Access
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