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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:

Driver sleepiness detection from EEG and EOG signals using GAN and LSTM networks
Yingying Jiao, Yini Deng, Yun Luo, et al.
Neurocomputing (2020) Vol. 408, pp. 100-111
Closed Access | Times Cited: 120

Showing 26-50 of 120 citing articles:

Human-robot collaborative disassembly enabled by brainwaves and improved generative adversarial network
Yudie Hu, Weidong Li, Yong Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102434-102434
Closed Access | Times Cited: 4
TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG
Peiliang Gong, Pengpai Wang, Yueying Zhou, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7004-7016
Closed Access | Times Cited: 4
A robust operators’ cognitive workload recognition method based on denoising masked autoencoder
Xiaoqing Yu, Chun‐Hsien Chen
Knowledge-Based Systems (2024) Vol. 301, pp. 112370-112370
Closed Access | Times Cited: 4
Fatigue Detection Caused by Office Work With the Use of EOG Signal
Marcin Kołodziej, Paweł Tarnowski, Dariusz Sawicki, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 24, pp. 15213-15223
Closed Access | Times Cited: 33
Bengali Sentiment Analysis of E-commerce Product Reviews using K-Nearest Neighbors
Mst. Tuhin Akter, Manoara Begum, Rashed Mustafa
(2021), pp. 40-44
Closed Access | Times Cited: 30
Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals
Radek Martínek, Martina Ládrová, Michaela Šidiková, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6343-6343
Open Access | Times Cited: 29
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures
Yankun Xu, Jie Yang, Mohamad Sawan
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 11, pp. 3516-3525
Open Access | Times Cited: 20
Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks
Serajeddin Ebrahimian, Ali Nahvi, Masoumeh Tashakori, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 17, pp. 10736-10736
Open Access | Times Cited: 20
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
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
Few-Shot Learning for Fine-Grained Emotion Recognition Using Physiological Signals
Tianyi Zhang, Abdallah El Ali, Alan Hanjalić, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 3773-3787
Open Access | Times Cited: 16
Recent Advances in Fatigue Detection Algorithm Based on EEG
Fei Wang, Yinxing Wan, Man Li, et al.
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3573-3586
Open Access | Times Cited: 16
Advances in Materials, Sensors, and Integrated Systems for Monitoring Eye Movements
Seunghyeb Ban, Yoon Jae Lee, Ka Ram Kim, et al.
Biosensors (2022) Vol. 12, Iss. 11, pp. 1039-1039
Open Access | Times Cited: 16
Behind-the-Ear EEG-Based Wearable Driver Drowsiness Detection System Using Embedded Tiny Neural Networks
Ha-Trung Nguyen, Ngoc-Dau Mai, Boon Giin Lee, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23875-23892
Closed Access | Times Cited: 9
Trends and patterns in cancer nanotechnology research: A survey of NCI's caNanoLab and nanotechnology characterization laboratory
Weina Ke, Rachael M. Crist, Jeffrey D. Clogston, et al.
Advanced Drug Delivery Reviews (2022) Vol. 191, pp. 114591-114591
Open Access | Times Cited: 14
Synthetic EMG Based on Adversarial Style Transfer Can Effectively Attack Biometric-Based Personal Identification Models
Peiqi Kang, Shuo Jiang, Peter B. Shull
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3275-3284
Open Access | Times Cited: 8
Drive-Awake: A YOLOv3 Machine Vision Inference Approach of Eyes Closure for Drowsy Driving Detection
Jonel Macalisang, Alvin Sarraga Alon, Moises F. Jardiniano, et al.
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (2021)
Closed Access | Times Cited: 19
Detecting Soldiers’ Fatigue Using Eye-Tracking Glasses: Practical Field Applications and Research Opportunities
Theresa Schweizer, Thomas Wyss, Rahel Gilgen-Ammann
Military Medicine (2021) Vol. 187, Iss. 11-12, pp. e1330-e1337
Open Access | Times Cited: 19
A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data
Le He, Li Zhang, Qiang Sun, et al.
Behavioural Brain Research (2024) Vol. 464, pp. 114898-114898
Closed Access | Times Cited: 2
Recognition of Drivers’ Activity Based on 1D Convolutional Neural Network
Rafał Doniec, Szymon Sieciński, Konrad Duraj, et al.
Electronics (2020) Vol. 9, Iss. 12, pp. 2002-2002
Open Access | Times Cited: 20
Scattering convolutional network based predictive model for cognitive activity of brain using empirical wavelet decomposition
Lakshmi Priya B., S. Jayalakshmy, Jayanthi K. Pragatheeswaran, et al.
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102501-102501
Closed Access | Times Cited: 17
A vigilance estimation method for high-speed rail drivers using physiological signals with a two-level fusion framework
Yufan Pan, Zhaojun Li, Ertian Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104831-104831
Closed Access | Times Cited: 6
Maximum Marginal Approach on EEG Signal Preprocessing for Emotion Detection
Gen Li, Jason J. Jung
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7677-7677
Open Access | Times Cited: 16
Drivers’ Workload Electroencephalogram Characteristics in Cognitive Tasks Based on Improved Multiscale Sample Entropy
Ruiwei Liu, Shouming Qi, Siqi Hao, et al.
IEEE Access (2023) Vol. 11, pp. 42180-42190
Open Access | Times Cited: 5
Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects
You Qu, Hongyu Hu, Jiarui Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-20
Closed Access | Times Cited: 5

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