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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:

Toward practical driving fatigue detection using three frontal EEG channels: a proof-of-concept study
Xucheng Liu, Gang Li, Sujie Wang, et al.
Physiological Measurement (2021) Vol. 42, Iss. 4, pp. 044003-044003
Closed Access | Times Cited: 24

Showing 24 citing articles:

Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data
Imran Mehmood, Heng Li, Yazan Qarout, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101978-101978
Open Access | Times Cited: 49
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
Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework
Zhongxia Shen, Gang Li, Jiaqi Fang, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5420-5420
Open Access | Times Cited: 33
A systematic review of physiological signals based driver drowsiness detection systems
Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 5, pp. 1229-1259
Closed Access | Times Cited: 22
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 multidimensional adaptive transformer network for fatigue detection
Dingming Wu, Liu Deng, Qiang Lü, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
Attention-Guided Multiscale Convolutional Neural Network for Driving Fatigue Detection
Jinbu Tang, Wei Zhou, Wei‐Long Zheng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23280-23290
Closed Access | Times Cited: 3
An Identification Method for Road Hypnosis Based on Human EEG Data
Bin Wang, Jingheng Wang, Xiaoyuan Wang, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4392-4392
Open Access | Times Cited: 3
Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model
Jie Wang, Yanting Xu, Jinghong Tian, et al.
Entropy (2022) Vol. 24, Iss. 12, pp. 1715-1715
Open Access | Times Cited: 14
Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue
Lin Shi, Leilei Zheng, Danni Jin, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 13
The Effect of Expertise during Simulated Flight Emergencies on the Autonomic Response and Operative Performance in Military Pilots
Sara Santos, José A. Parraça, Orlando Fernandes, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 15, pp. 9141-9141
Open Access | Times Cited: 11
Automatic detection of abnormal EEG signals using multiscale features with ensemble learning
Tao Wu, Xiangzeng Kong, Yunning Zhong, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 10
Self-Regulation Phenomenon Emerged During Prolonged Fatigue Driving: An EEG Connectivity Study
Gang Li, Jie Wang, Wanxiu Xu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4895-4906
Open Access | Times Cited: 5
Combined Effect of Color and Shape on Cognitive Performance
Tao Jin, Shufang Zhou, Xiaocui Lang, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 8
FedUSL: A Federated Annotation Method for Driving Fatigue Detection based on Multimodal Sensing Data
Songcan Yu, Qinglin Yang, Junbo Wang, et al.
ACM Transactions on Sensor Networks (2024)
Open Access | Times Cited: 1
Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics
Olympia Giannakopoulou, Iοannis Kakkos, Georgios Ν. Dimitrakopoulos, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3894-3894
Open Access | Times Cited: 1
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
A Practical Application for Quantitative Brain Fatigue Evaluation Based on Machine Learning and Ballistocardiogram
Yanting Xu, Zhengyuan Yang, Gang Li, et al.
Healthcare (2021) Vol. 9, Iss. 11, pp. 1453-1453
Open Access | Times Cited: 11
Dynamic assessment of visual fatigue during video watching: Validation of dynamic rating based on post-task ratings and video features
Sanghyeon Kim, Uijong Ju
Displays (2024), pp. 102861-102861
Closed Access
A New Strategy for Mental Fatigue Detection Based on Deep Learning and Respiratory Signal
Jie Wang, Ji‐Long Shi, Yanting Xu, et al.
Lecture notes in electrical engineering (2021), pp. 543-552
Closed Access | Times Cited: 4
Driving Fatigue Detection with Three Prefrontal EEG Channels and Deep Learning Model
Xiangman Ding, Gui-Bin Chen, Jie Wang, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1
ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods
Chenghao Li, Yuhui Fu, Ruihong Ouyang, et al.
Sensors (2022) Vol. 22, Iss. 17, pp. 6506-6506
Open Access | Times Cited: 2
Emotion Specific Network with Multi-dimension Features in Emotion Recognition
Gufeng Jia, Xucheng Liu, Hongtao Wang, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 2
Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach
Fotis P. Kalaganis, Manuel S. Seet, Kostas Georgiadis, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 395-398
Closed Access
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