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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:

Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection
Qing Cai, Zhongke Gao, Yuxuan Yang, et al.
International Journal of Neural Systems (2018) Vol. 29, Iss. 05, pp. 1850057-1850057
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Sleep, circadian rhythms and health
F. Foster
Interface Focus (2020) Vol. 10, Iss. 3, pp. 20190098-20190098
Open Access | Times Cited: 176
Stretchable, transparent triboelectric nanogenerator as a highly sensitive self-powered sensor for driver fatigue and distraction monitoring
Xiao Lu, Li Zheng, Haodong Zhang, et al.
Nano Energy (2020) Vol. 78, pp. 105359-105359
Closed Access | Times Cited: 89
Human-Machine Shared Driving: Challenges and Future Directions
Shahzeb Ansari, Fazel Naghdy, Haiping Du
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 499-519
Closed Access | Times Cited: 56
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
A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning
Fan Liu, Delong Chen, Jun Zhou, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105399-105399
Closed Access | Times Cited: 36
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
Cross-Subject Motor Imagery Tasks EEG Signal Classification Employing Multiplex Weighted Visibility Graph and Deep Feature Extraction
Kaniska Samanta, Soumya Chatterjee, Rohit Bose
IEEE Sensors Letters (2019) Vol. 4, Iss. 1, pp. 1-4
Closed Access | Times Cited: 43
A New dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms
Juan P. Amézquita-Sánchez, Nadia Mammone, Francesco Carlo Morabito, et al.
Clinical Neurology and Neurosurgery (2020) Vol. 201, pp. 106446-106446
Closed Access | Times Cited: 42
Network Analysis of Time Series: Novel Approaches to Network Neuroscience
Thomas F. Varley, Olaf Sporns
Frontiers in Neuroscience (2022) Vol. 15
Open Access | Times Cited: 24
Tractor Assistant Driving Control Method Based on EEG Combined With RNN-TL Deep Learning Algorithm
Wei Lu, Yuning Wei, Jinxia Yuan, et al.
IEEE Access (2020) Vol. 8, pp. 163269-163279
Open Access | Times Cited: 34
Fatigue driving recognition based on deep learning and graph neural network
Zhiqiang Lin, Taorong Qiu, Ping Liu, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102598-102598
Closed Access | Times Cited: 30
Evolution of Driver Fatigue Detection Techniques—A Review From 2007 to 2021
Mukesh Kumar Kamti, Rauf Iqbal
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2676, Iss. 12, pp. 485-507
Closed Access | Times Cited: 19
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: 12
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: 4
EEG-Based Emotion Recognition Using an Improved Weighted Horizontal Visibility Graph
Tianjiao Kong, Jie Shao, Jiuyuan Hu, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1870-1870
Open Access | Times Cited: 25
Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects
Rongxi Wang, Jinjin Xu, Wenxin Zhang, et al.
Quality and Reliability Engineering International (2022) Vol. 38, Iss. 7, pp. 3935-3969
Closed Access | Times Cited: 17
Degree distributions and motif profiles of Thue–Morse complex network
Xiaohua Hu, Min Niu
Chaos Solitons & Fractals (2023) Vol. 176, pp. 114141-114141
Closed Access | Times Cited: 8
Mental fatigue assessment by an arbitrary channel EEG based on morphological features and LSTM-CNN
Xiaolong Wu, Jianhong Yang, Yongcong Shao, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107652-107652
Closed Access | Times Cited: 7
Distinction of Chaos from Randomness Is Not Possible from the Degree Distribution of the Visibility and Phase Space Reconstruction Graphs
A. Angelidis, Konstantinos Goulas, Charalampos Bratsas, et al.
Entropy (2024) Vol. 26, Iss. 4, pp. 341-341
Open Access | Times Cited: 2
A Review of Visibility Graph Analysis
Hadis Azizi, Sadegh Sulaimany
IEEE Access (2024) Vol. 12, pp. 93517-93530
Open Access | Times Cited: 2
Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network
Zhou Yi, Changqing Zeng, Zhendong Mu
IET Biometrics (2023) Vol. 12, Iss. 2, pp. 65-76
Open Access | Times Cited: 6
Computational Model of Functional Connectivity Distance Predicts Neural Alterations
Tanu Wadhera, Mufti Mahmud
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 3, pp. 1041-1050
Open Access | Times Cited: 6
Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph
Zhongke Gao, Wei Guo, Qing Cai, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2019) Vol. 29, Iss. 7
Closed Access | Times Cited: 17
Disrupted Time-Dependent and Functional Connectivity Brain Network in Alzheimer's Disease: A Resting-State fMRI Study Based on Visibility Graph
Zhongke Gao, Yanhua Feng, Chao Ma, et al.
Current Alzheimer Research (2020) Vol. 17, Iss. 1, pp. 69-79
Closed Access | Times Cited: 13
A Multivariate Weighted Ordinal Pattern Transition Network for Characterizing Driver Fatigue Behavior from EEG Signals
Yuxuan Yang, Zhongke Gao
International Journal of Bifurcation and Chaos (2020) Vol. 30, Iss. 08, pp. 2050118-2050118
Closed Access | Times Cited: 12
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