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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:

Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences
Tianjun Zhu, Chuang Zhang, Tung-Lung Wu, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2224-2224
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

IoT-Based Non-Intrusive Automated Driver Drowsiness Monitoring Framework for Logistics and Public Transport Applications to Enhance Road Safety
M. Adil Khan, Tahir Nawaz, Umar Shahbaz Khan, et al.
IEEE Access (2023) Vol. 11, pp. 14385-14397
Open Access | Times Cited: 31
Mixed reality-based active Hazard prevention system for heavy machinery operators
Tingsong Chen, Nobuyoshi Yabuki, Tomohiro Fukuda
Automation in Construction (2024) Vol. 159, pp. 105287-105287
Closed Access | Times Cited: 8
Adaptive Driver Face Feature Fatigue Detection Algorithm Research
Han Zheng, Yiding Wang, Xiaoming Liu
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5074-5074
Open Access | Times Cited: 16
Early Driver Fatigue Detection System: A Cost-Effective and Wearable Approach Utilizing Embedded Machine Learning
Chung‐Yi Lin, Xinying Zhu, Renpeng Wang, et al.
Vehicles (2025) Vol. 7, Iss. 1, pp. 3-3
Open Access
Early drowsiness detection of drivers using machine learning algorithm to prevent road accidents
Surendra Kumar Shukla, Paras Jain, Ashutosh Gupta, et al.
AIP conference proceedings (2025) Vol. 3253, pp. 030016-030016
Closed Access
Driver Drowsiness Detection System: An Integrated Vision-Based Approach
Kaustubh Bandkar, Pushkar Bansode, Pratik Bhusare, et al.
Lecture notes in networks and systems (2025), pp. 221-236
Closed Access
A Novel Fatigue Detection Method Based on Video Transformer
Y Zhong, Shipeng Li, Yonghong Yang, et al.
Lecture notes in electrical engineering (2025), pp. 495-505
Closed Access
Driver Emotion and Fatigue State Detection Based on Time Series Fusion
Yucheng Shang, Mutian Yang, Jianwei Cui, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 26-26
Open Access | Times Cited: 17
EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism
Ling Wang, Fangjie Song, Tie Hua Zhou, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8386-8386
Open Access | Times Cited: 9
Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study
Gianluca Amprimo, Irene Rechichi, Claudia Ferraris, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 623-623
Open Access | Times Cited: 8
Cascaded learning with transformer for simultaneous eye landmark, eye state and gaze estimation
Chao Gou, Yuezhao Yu, Zipeng Guo, et al.
Pattern Recognition (2024) Vol. 156, pp. 110760-110760
Closed Access | Times Cited: 2
Driver Attention Detection Based on Improved YOLOv5
Zhongzhou Wang, Keming Yao, Fuao Guo
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6645-6645
Open Access | Times Cited: 6
Perception-Free Calibration of Eye Opening and Closing Threshold for Driver Fatigue Monitoring
Ming Shien Cheng, Yunbing Yan
IEEE Access (2022) Vol. 10, pp. 125469-125476
Open Access | Times Cited: 9
Facial electromyography during exercise using soft electrode array: A feasibility study
Rawan Ibrahim, Itay Ketko, Mickey Scheinowitz, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0298304-e0298304
Open Access | Times Cited: 1
Evaluation of Fatigue in Older Drivers Using a Multimodal Medical Sensor and Driving Simulator
Yutaka Yoshida, Kohei Kowata, Ryotaro Abe, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1126-1126
Open Access | Times Cited: 1
Multi-scale spatial–temporal attention graph convolutional networks for driver fatigue detection
Shuxiang Fa, Xiaohui Yang, Shiyuan Han, et al.
Journal of Visual Communication and Image Representation (2023) Vol. 93, pp. 103826-103826
Closed Access | Times Cited: 4
Visual analysis of fatigue in Industry 4.0
David Alfavo-Viquez, Mauricio-Andrés Zamora-Hernández, Jorge Azorín-López, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 133, Iss. 1-2, pp. 959-970
Open Access | Times Cited: 4
Efficient Eye State Detection for Driver Fatigue Monitoring Using Optimized YOLOv7-Tiny
Gwo-Ching Chang, Bohan Zeng, Shih-Chiang Lin
(2024)
Open Access | Times Cited: 1
Real Time Implementation of Driver Drowsiness Detection for an Intelligent Transportation System
R. Sathya, Preeth Raguraman, S. Thavamaniyan, et al.
(2024), pp. 204-208
Closed Access | Times Cited: 1
An fNIRS labeling image feature-based customized driving fatigue detection method
Lingqiu Zeng, Kun Zhou, Qingwen Han, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 12493-12509
Closed Access | Times Cited: 7
Visual-Based Children and Pet Rescue from Suffocation and Incidence of Hyperthermia Death in Enclosed Vehicles
Mona M. Moussa, Rasha Shoitan, Young Im Cho, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7025-7025
Open Access | Times Cited: 3
State of the Art in Drivers’ Attention Monitoring – A Systematic Literature Review
Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, et al.
Karbala International Journal of Modern Science (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 2
A lightweight fatigue driving detection method based on facial features
Junwei Zhu, Yane Ma, Jia Xia, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 335-343
Closed Access
Efficient Eye State Detection for Driver Fatigue Monitoring Using Optimized YOLOv7-Tiny
Gwo-Ching Chang, Bohan Zeng, Shih-Chiang Lin
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3497-3497
Open Access
Enhancing Reliability of Advanced Driver-Assistance Systems through Predictive Maintenance and Data-Driven Insights
Vishal Goyal Amit Jain
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 508-523
Open Access
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