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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:

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

Showing 1-25 of 86 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
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis
Reza Akbari Movahed, Gila Pirzad Jahromi, Shima Shahyad, et al.
Journal of Neuroscience Methods (2021) Vol. 358, pp. 109209-109209
Closed Access | Times Cited: 99
A compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel EEG
Jian Cui, Zirui Lan, Yisi Liu, et al.
Methods (2021) Vol. 202, pp. 173-184
Open Access | Times Cited: 88
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
Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework
Sadegh Arefnezhad, James Hamet, Arno Eichberger, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 37
Driver fatigue detection based on prefrontal EEG using multi-entropy measures and hybrid model
Jianliang Min, Xiong Chen, Yonggang Zhang, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102857-102857
Closed Access | Times Cited: 52
CNN Based Driver Drowsiness Detection System Using Emotion Analysis
H. Varun Chand, J. Karthikeyan
Intelligent Automation & Soft Computing (2021) Vol. 31, Iss. 2, pp. 717-728
Open Access | Times Cited: 41
An intelligent neuromarketing system for predicting consumers’ future choice from electroencephalography signals
Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, et al.
Physiology & Behavior (2022) Vol. 253, pp. 113847-113847
Closed Access | Times Cited: 33
EEG emotion recognition based on enhanced SPD matrix and manifold dimensionality reduction
Yunyuan Gao, Xinyu Sun, Ming Meng, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105606-105606
Closed Access | Times Cited: 30
Driver drowsiness detection and smart alerting using deep learning and IoT
Anh-Cang Phan, Thanh-Ngoan Trieu, Thuong‐Cang Phan
Internet of Things (2023) Vol. 22, pp. 100705-100705
Closed Access | Times Cited: 21
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
Quantum machine learning for drowsiness detection with EEG signals
Isis Didier Lins, Lavínia Maria Mendes Araújo, Caio Bezerra Souto Maior, et al.
Process Safety and Environmental Protection (2024) Vol. 186, pp. 1197-1213
Closed Access | Times Cited: 6
Boosting-LDA algriothm with multi-domain feature fusion for motor imagery EEG decoding
Yue Zhang, Weihai Chen, Chun‐Liang Lin, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102983-102983
Closed Access | Times Cited: 32
Automatic drowsiness detection for safety-critical operations using ensemble models and EEG signals
Plìnio M. S. Ramos, Caio Bezerra Souto Maior, Márcio das Chagas Moura, et al.
Process Safety and Environmental Protection (2022) Vol. 164, pp. 566-581
Closed Access | Times Cited: 27
BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework
Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 22
A systematic review of physiological signals based driver drowsiness detection systems
Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 5, pp. 1229-1259
Closed Access | Times Cited: 22
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
CEEMDAN fuzzy entropy based fatigue driving detection using single-channel EEG
Yunhe Liu, Zirui Xiang, Zhi-xin Yan, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106460-106460
Closed Access | Times Cited: 4
FPGA-accelerated hybrid CNN-LSTM system for efficient EEG-based drowsiness recognition
Rama Muni Reddy Yanamala, P. Muralidhar
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine
Shan Guan, Tingrui Dong, Long-kun Cong
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
The Application of Electroencephalogram in Driving Safety: Current Status and Future Prospects
Yong Peng, Qian Xu, Shuxiang Lin, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 21
Electrocardiogram Analysis by Means of Empirical Mode Decomposition-Based Methods and Convolutional Neural Networks for Sudden Cardiac Death Detection
Manuel A. Centeno-Bautista, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3569-3569
Open Access | Times Cited: 11
A Fault Feature Extraction Method Based on LMD and Wavelet Packet Denoising
Jingzong Yang, Chengjiang Zhou
Coatings (2022) Vol. 12, Iss. 2, pp. 156-156
Open Access | Times Cited: 15
FPGA-Based Implementation for Real-Time Epileptic EEG Classification Using Hjorth Descriptor and KNN
Achmad Rizal, Sugondo Hadiyoso, Ahmad Zaky Ramdani
Electronics (2022) Vol. 11, Iss. 19, pp. 3026-3026
Open Access | Times Cited: 15
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