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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 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

Showing 26-50 of 56 citing articles:

A Hybrid Deep Neural Network Approach to Recognize Driving Fatigue Based on EEG Signals
Mohammed Alghanim, Hani Attar, Khosro Rezaee, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Industrial intelligence in the care of workers’ mental health: A review of status and challenges
Carlos Goetz, Rodrigo Simon Bavaresco, Rafael Kunst, et al.
International Journal of Industrial Ergonomics (2021) Vol. 87, pp. 103234-103234
Closed Access | Times Cited: 15
Extraction of discriminative features from EEG signals of dyslexic children; before and after the treatment
Anahita Oliaee, Maryam Mohebbi, Sepehr Shirani, et al.
Cognitive Neurodynamics (2022) Vol. 16, Iss. 6, pp. 1249-1259
Open Access | Times Cited: 9
Exploration of face-perceptual ability by EEG induced deep learning algorithm
Lidia Ghosh, Dipayan Dewan, Abir Chowdhury, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102368-102368
Closed Access | Times Cited: 12
Classification of EEG Signals from Driving Fatigue by Image-Based Deep Recurrent Neural Networks
Fang Zhao-guo, Enzeng Dong, Jigang Tong, et al.
2022 IEEE International Conference on Mechatronics and Automation (ICMA) (2022), pp. 1773-1777
Closed Access | Times Cited: 8
Driver Drowsiness Detection using Evolutionary Machine Learning: A Survey
Maha Yasir Jumhaa, Osama Majeed, Alaa Taima
BIO Web of Conferences (2024) Vol. 97, pp. 00007-00007
Open Access | Times Cited: 1
An improved CapsNet based on data augmentation for driver vigilance estimation with forehead single-channel EEG
Huizhou Yang, Jingwen Huang, Yifei Yu, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 5, pp. 2535-2550
Closed Access | Times Cited: 1
A Multi-Source Fusion Approach for Driver Fatigue Detection Using Physiological Signals and Facial Image
Yong Peng, Hanwen Deng, Guoliang Xiang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 16614-16624
Closed Access | Times Cited: 1
Enhancing EEG signals classification using LSTM‐CNN architecture
Swaleh M. Omar, Michael Kimwele, Akeem Olowolayemo, et al.
Engineering Reports (2023) Vol. 6, Iss. 9
Open Access | Times Cited: 4
1D Multi-Point Local Ternary Pattern: A Novel Feature Extraction Method for Analyzing Cognitive Engagement of students in Flipped Learning Pedagogy
Rabi Shaw, Chinmay Mohanty, Bidyut Kr. Patra, et al.
Cognitive Computation (2022) Vol. 15, Iss. 4, pp. 1243-1256
Open Access | Times Cited: 7
An fNIRS labeling image feature-based customized driving fatigue detection method
Lingqiu Zeng, Kun Zhou, Qingwen Han, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 12493-12509
Closed Access | Times Cited: 7
A Multimodal Feature Fusion Framework for Sleep-Deprived Fatigue Detection to Prevent Accidents
Jitender Singh Virk, Mandeep Singh, Mandeep Singh, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4129-4129
Open Access | Times Cited: 3
A ROBUST FRAMEWORK FOR DRIVER FATIGUE DETECTION FROM EEG SIGNALS USING ENHANCEMENT OF MODIFIED Z-SCORE AND MULTIPLE MACHINE LEARNING ARCHITECTURES
Rafiuddin Abdubrani, Mahfuzah Mustafa, Zarith Liyana Zahari
IIUM Engineering Journal (2023) Vol. 24, Iss. 2, pp. 354-372
Open Access | Times Cited: 3
Multiple robust approaches for EEG-based driving fatigue detection and classification
Sunil Kumar Prabhakar, Dong-Ok Won
Array (2023) Vol. 19, pp. 100320-100320
Open Access | Times Cited: 3
Methods for detecting and removing ocular artifacts from EEG signals in drowsy driving warning systems: A survey
Mohamed Mohammedi, Mawloud Omar, Abdelmadjid Bouabdallah
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 17687-17714
Closed Access | Times Cited: 5
LBP-based bird sound classification using improved feature selection algorithm
Xunsheng Ji, Kun Jiang, Jie Xie
International Journal of Speech Technology (2021) Vol. 24, Iss. 4, pp. 1033-1045
Closed Access | Times Cited: 6
Recognition of Riding Feeling From EEG Based on Neural Network
Xianzhi Tang, Anqi Cheng, Bo Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8997-9008
Closed Access | Times Cited: 2
IoV-Health: an intelligent integrated emergency health monitoring and alert generation system
Karandeep Kaur, Harsh Kumar Verma
Soft Computing (2023)
Closed Access | Times Cited: 2
Automatic Discrimination of Task Difficulty Predicted by Frontal EEG Activity During Working Memory Tasks in Young and Elderly Drivers
Koji Kashihara
International Journal of Information Technology & Decision Making (2022) Vol. 21, Iss. 04, pp. 1189-1231
Closed Access | Times Cited: 3
Pilot facial feature recognition and fatigue classification method under high exposure environment
Huining Pei, Jiali Sun
Applied and Computational Engineering (2024) Vol. 49, Iss. 1, pp. 287-303
Open Access
Identification of Fatigue using Data Analytics and Machine Learning to Improve Worker’s Health
M. Selvi, S Sivasubramanian, P. Sathish
(2024), pp. 442-447
Closed Access
Fatigue driving detection technology based on EEG signal
Zhe Yang
Transactions on Computer Science and Intelligent Systems Research (2024) Vol. 5, pp. 1022-1029
Open Access
Discrimination of Driver Fatigue Based on Distortion Energy Density Theory and Multiple Physiological Signals
Lin Wang, Hong Wang, Jintao Liu
IEEE Access (2021) Vol. 9, pp. 151824-151833
Open Access | Times Cited: 4
Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives
Hongchang Chen, Ruiyang Gao, Lili Fan, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 5, pp. 4890-4904
Closed Access
A multidimensional EEG feature extraction attention detection for BCI System
Ran Zhang, Chengyuan Shen, Linfeng Sui, et al.
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (2024) Vol. 24, pp. 71-83
Open Access

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