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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:

Developing a Deep Neural Network for Driver Fatigue Detection Using EEG Signals Based on Compressed Sensing
Sobhan Sheykhivand, Tohid Yousefi Rezaii, Saeed Meshgini, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2941-2941
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

3D-STCNN: Spatiotemporal Convolutional Neural Network Based on EEG 3D Features for Detecting Driving Fatigue
Bo Peng, Dongrui Gao, Manqing Wang, et al.
Journal of Data Science and Intelligent Systems (2023) Vol. 2, Iss. 1, pp. 1-13
Open Access | Times Cited: 47
A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks
Sevda Zafarmandi Ardabili, Soufia Bahmani, Lida Zare Lahijan, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 364-364
Open Access | Times Cited: 19
Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals
Farzad Baradaran, Ali Farzan, Sebelan Danishvar, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2232-2232
Open Access | Times Cited: 34
A Customized Efficient Deep Learning Model for the Diagnosis of Acute Leukemia Cells Based on Lymphocyte and Monocyte Images
Sanam Ansari, Ahmad Habibizad Navin, Amin Babazadeh Sangar, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 322-322
Open Access | Times Cited: 32
Automatic Detection of Driver Fatigue Based on EEG Signals Using a Developed Deep Neural Network
Sobhan Sheykhivand, Tohid Yousefi Rezaii, Zohreh Mousavi, et al.
Electronics (2022) Vol. 11, Iss. 14, pp. 2169-2169
Open Access | Times Cited: 33
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: 18
PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer’s disease
Nam Heon Kim, Ukeob Park, Dong Won Yang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach
Mohammad Peivandi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8171-8171
Open Access | Times Cited: 13
Fast reconstruction of EEG signal compression sensing based on deep learning
Xiuli Du, KuanYang Liang, Yana Lv, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Automatic Searching of Lightweight and High-Performing CNN Architectures for EEG-based Driving Fatigue Detection
Qingqing Li, Zhirui Luo, Ruobin Qi, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 4
An EEG channel selection method for motor imagery based on Fisher score and local optimization
Yangjie Luo, Wei Mu, LU WANG, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036030-036030
Closed Access | Times Cited: 4
A Novel Neural Network Model Based on Real Mountain Road Data for Driver Fatigue Detection
Dongliang Peng, Junfeng Cai, Zheng Feng Lu, et al.
Biomimetics (2025) Vol. 10, Iss. 2, pp. 104-104
Open Access
An online self-organizing radial basis function neural network based on Gaussian Membership
Lijie Jia, Wenjing Li, Junfei Qiao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Automatically Identified EEG Signals of Movement Intention Based on CNN Network (End-To-End)
Nahal Shahini, Zeinab Bahrami, Sobhan Sheykhivand, et al.
Electronics (2022) Vol. 11, Iss. 20, pp. 3297-3297
Open Access | Times Cited: 20
Visual Saliency and Image Reconstruction from EEG Signals via an Effective Geometric Deep Network-Based Generative Adversarial Network
Nastaran Khaleghi, Tohid Yousefi Rezaii, Soosan Beheshti, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3637-3637
Open Access | Times Cited: 17
A Hybrid Compressive Sensing and Classification Approach for Dynamic Storage Management of Vital Biomedical Signals
Heba M. Emara, Walid El‐Shafai, Abeer D. Algarni, et al.
IEEE Access (2023) Vol. 11, pp. 108126-108151
Open Access | Times Cited: 9
Mixed reality-based brain computer interface system using an adaptive bandpass filter: Application to remote control of mobile manipulator
Qi Li, Meiqi Sun, Yu Song, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104646-104646
Closed Access | Times Cited: 8
Acute Leukemia Diagnosis Based on Images of Lymphocytes and Monocytes Using Type-II Fuzzy Deep Network
Sanam Ansari, Ahmad Habibizad Navin, Amin Babazadeh Sangar, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1116-1116
Open Access | Times Cited: 7
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
Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks
Farzad Baradaran, Ali Farzan, Sebelan Danishvar, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2216-2216
Open Access | Times Cited: 6
Research on the application of the Sleep EEG Net model based on domain adaptation transfer in the detection of driving fatigue
Fuwang Wang, Tianshu Gu, W. J. Yao
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105832-105832
Closed Access | Times Cited: 5
Statistical processing of time slices of electroencephalography signals during brain reaction to visual stimuli
N. G. Guseı̆n-zade, A. A. Slezkin, Elshad Allahyarov
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104656-104656
Closed Access | Times Cited: 4
Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW
Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, et al.
Procedia Computer Science (2023) Vol. 222, pp. 448-457
Open Access | Times Cited: 4
ECG Signals Deep Compressive Sensing Framework Based on Multiscale Feature Fusion and SE Block
Jing Hua, Jiawen Zou, Jue Rao, et al.
IEEE Access (2023) Vol. 11, pp. 104359-104372
Open Access | Times Cited: 4
Designing a practical fatigue detection system: A review on recent developments and challenges
Md Abdullah Al Imran, Farnad Nasirzadeh, Chandan Karmakar
Journal of Safety Research (2024) Vol. 90, pp. 100-114
Open Access | Times Cited: 1
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