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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:

Driving Fatigue Classification Based on Fusion Entropy Analysis Combining EOG and EEG
Hongtao Wang, C. S. Wu, Ting Li, et al.
IEEE Access (2019) Vol. 7, pp. 61975-61986
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

A Driving Fatigue Feature Detection Method Based on Multifractal Theory
Fuwang Wang, Hao Wang, Xin Zhou, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 19, pp. 19046-19059
Closed Access | Times Cited: 96
EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network With Brain Region Partitioning Strategy
Fo Hu, Lekai Zhang, Xusheng Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 9618-9630
Closed Access | Times Cited: 22
Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network
Shuaiqi Liu, Xu Wang, Ling Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 1710-1721
Closed Access | Times Cited: 86
Understanding mental fatigue and its detection: a comparative analysis of assessments and tools
Kaveena Kunasegaran, Ahamed Miflah Hussain Ismail, Shamala Ramasamy, et al.
PeerJ (2023) Vol. 11, pp. e15744-e15744
Open Access | Times Cited: 24
Driving Fatigue Detection Based on Hybrid Electroencephalography and Eye Tracking
Zequan Lian, Tao Xu, Zhen Yuan, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6568-6580
Closed Access | Times Cited: 8
Dynamic Reorganization of Functional Connectivity Unmasks Fatigue Related Performance Declines in Simulated Driving
Hongtao Wang, Xucheng Liu, Hong‐Ying Hu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 8, pp. 1790-1799
Closed Access | Times Cited: 53
Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System
Iqram Hussain, Young Seo, Se Jin Park
Sensors (2021) Vol. 21, Iss. 21, pp. 6985-6985
Open Access | Times Cited: 52
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: 49
Assessment of visual fatigue in SSVEP-based brain-computer interface: a comprehensive study
Pablo Díez, Lorena Orosco, Agustina Garcés Correa, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 5, pp. 1475-1490
Closed Access | Times Cited: 6
Differential Impact of Autonomous Vehicle Malfunctions on Human Trust
Manuel S. Seet, Jonathan Harvy, Rohit Bose, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 1, pp. 548-557
Closed Access | Times Cited: 42
A new hand-modeled learning framework for driving fatigue detection using EEG signals
Şengül Doğan, Ilknur Tuncer, Mehmet Bayğın, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 20, pp. 14837-14854
Closed Access | Times Cited: 14
Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals
Imran Mehmood, Heng Li, Waleed Umer, et al.
Developments in the Built Environment (2023) Vol. 15, pp. 100198-100198
Open Access | Times Cited: 14
A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition
Hanying Guo, Siying Chen, Yongjiang Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Neuroimaging features for cognitive fatigue and its recovery with VR intervention: An EEG microstates analysis
Jia-Cheng Han, Chi Zhang, Yan Cai, et al.
Brain Research Bulletin (2025) Vol. 221, pp. 111223-111223
Open Access
A diffusion-based feature enhancement approach for driving behavior classification with EEG data
Tianqi Liu, Yanjun Qin, Shanghang Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103279-103279
Closed Access
A Method for Interval Prediction of Satellite Battery State of Health Based on Sample Entropy
Mengda Cao, Tao Zhang, Bin Yu, et al.
IEEE Access (2019) Vol. 7, pp. 141549-141561
Open Access | Times Cited: 36
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
Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection
Hongtao Wang, Tao Xu, Cong Tang, et al.
IEEE Access (2020) Vol. 8, pp. 155590-155601
Open Access | Times Cited: 33
Fatigue Detection in SSVEP-BCIs Based on Wavelet Entropy of EEG
Yufan Peng, Chi Man Wong, Ze Wang, et al.
IEEE Access (2021) Vol. 9, pp. 114905-114913
Open Access | Times Cited: 30
A Product Fuzzy Convolutional Network for Detecting Driving Fatigue
Guanglong Du, Shuaiying Long, Chunquan Li, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 7, pp. 4175-4188
Closed Access | Times Cited: 22
Effects of Restorative Environment and Presence on Anxiety and Depression Based on Interactive Virtual Reality Scenarios
Zhimeng Wang, Yue Li, Jingchen An, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 13, pp. 7878-7878
Open Access | Times Cited: 21
Data-driven learning fatigue detection system: A multimodal fusion approach of ECG (electrocardiogram) and video signals
Liang Zhao, Menglin Li, Zili He, et al.
Measurement (2022) Vol. 201, pp. 111648-111648
Closed Access | Times Cited: 20
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
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
Fatigue driving detection based on electrooculography: a review
Yuanyuan Tian, Jingyu Cao
EURASIP Journal on Image and Video Processing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 24
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