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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 recurrence network-based convolutional neural network for fatigue driving detection from EEG
Zhongke Gao, Yanli Li, Yuxuan Yang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 11
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamics
Yang Tang, Jürgen Kurths, Wei Lin, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 6
Closed Access | Times Cited: 101
Using long short term memory and convolutional neural networks for driver drowsiness detection
Azhar Quddus, Ali Shahidi Zandi, Laura Prest, et al.
Accident Analysis & Prevention (2021) Vol. 156, pp. 106107-106107
Closed Access | Times Cited: 63
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
Convolutional Neural Network-Based EEG Signal Analysis: A Systematic Review
Swati Rajwal, Swati Aggarwal
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3585-3615
Closed Access | Times Cited: 23
Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection
Hongtao Wang, Linfeng Xu, Anastasios Bezerianos, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 65
E-Key: an EEG-Based Biometric Authentication and Driving Fatigue Detection System
Tao Xu, Hongtao Wang, Guanyong Lu, et al.
IEEE Transactions on Affective Computing (2021) Vol. 14, Iss. 2, pp. 864-877
Open Access | Times Cited: 48
Time series analysis via network science: Concepts and algorithms
Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2021) Vol. 11, Iss. 3
Open Access | Times Cited: 43
PEO-PDMS-based triboelectric nanogenerators as self-powered sensors for driver status monitoring
Fangyuan Luo, Bin Chen, Ran Xu, et al.
Chemical Engineering Journal (2022) Vol. 451, pp. 138961-138961
Open Access | Times Cited: 35
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: 19
Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation
Emma Perkins, Chiranjibi Sitaula, Michael Burke, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 2, pp. 1319-1338
Open Access | Times Cited: 23
Evidence of Chaos in Electroencephalogram Signatures of Human Performance: A Systematic Review
Shaida Kargarnovin, Christopher Hernandez, Farzad V. Farahani, et al.
Brain Sciences (2023) Vol. 13, Iss. 5, pp. 813-813
Open Access | Times Cited: 15
EEG signal analysis using deep learning: A systematic literature review
Ghita Amrani, Amina Adadi, Mohammed Berrada, et al.
(2021), pp. 1-8
Closed Access | Times Cited: 27
WFT-Fati-Dec: Enhanced Fatigue Detection AI System Based on Wavelet Denoising and Fourier Transform
Ahmed Sedik, Mohamed Marey, Hala Mostafa
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2785-2785
Open Access | Times Cited: 12
Driving Fatigue Effects on Cross-Frequency Phase Synchrony Embedding in Multilayer Brain Network
Shun Liu, Chi Man Wong, Xucheng Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 11
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
Applications of brain imaging methods in driving behaviour research
Milad Haghani, Michiel C.J. Bliemer, Bilal Farooq, et al.
Accident Analysis & Prevention (2021) Vol. 154, pp. 106093-106093
Open Access | Times Cited: 25
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
A Multi Representation Deep Learning Approach for Epileptic Seizure Detection
Arya Tandy Hermawan, Ilham Ari Elbaith Zaeni, Aji Prasetya Wibawa, et al.
Journal of Robotics and Control (JRC) (2024) Vol. 5, Iss. 1, pp. 187-204
Open Access | Times Cited: 3
Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study
Mauricio A. Ramírez-Moreno, Patricio Carrillo-Tijerina, Milton Osiel Candela-Leal, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 22, pp. 11891-11891
Open Access | Times Cited: 21
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
An adaptive driver fatigue classification framework using EEG and attention-based hybrid neural network with individual feature subsets
Yuchen Wang, Zijie Fang, Xiaoyong Sun, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105045-105045
Closed Access | Times Cited: 8
Real driving environment EEG-based detection of driving fatigue using the wavelet scattering network
Fuwang Wang, Daping Chen, W. J. Yao, et al.
Journal of Neuroscience Methods (2023) Vol. 400, pp. 109983-109983
Closed Access | Times Cited: 8
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
Identification of mental fatigue levels in a language understanding task based on multi-domain EEG features and an ensemble convolutional neural network
Chunhua Ye, Zhong Yin, Mengyuan Zhao, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103360-103360
Closed Access | Times Cited: 17
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