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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:

Multimodal Features for Detection of Driver Stress and Fatigue: Review
Andrea Němcová, Veronika Svozilová, Kateřina Bucsuházy, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 6, pp. 3214-3233
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles
Zhongxu Hu, Shanhe Lou, Yang Xing, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 417-440
Open Access | Times Cited: 104
CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection
Dongrui Gao, Pengrui Li, Manqing Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2558-2568
Closed Access | Times Cited: 41
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
Detection of Train Driver Fatigue and Distraction Based on Forehead EEG: A Time-Series Ensemble Learning Method
Chaojie Fan, Yong Peng, Shuangling Peng, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 8, pp. 13559-13569
Closed Access | Times Cited: 81
A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS
Guanglong Du, Linlin Zhang, Kang Su, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 21810-21820
Closed Access | Times Cited: 45
Photoplethysmograhic sensors, potential and limitations: Is it time for regulation? A comprehensive review
Francesco Scardulla, Gloria Cosoli, Susanna Spinsante, et al.
Measurement (2023) Vol. 218, pp. 113150-113150
Open Access | Times Cited: 27
The impacts of the traffic situation, road conditions, and driving environment on driver stress: A systematic review
Jie Ni, Jiaqi Chen, Wanying Xie, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2024) Vol. 103, pp. 141-162
Closed Access | Times Cited: 9
Human–Machine Shared Control for Path Following Considering Driver Fatigue Characteristics
Zhenwu Fang, Jinxiang Wang, Zejiang Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7250-7264
Open Access | Times Cited: 8
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
Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis
Qaisar Abbas, Abdullah Alsheddy
Sensors (2020) Vol. 21, Iss. 1, pp. 56-56
Open Access | Times Cited: 65
Survey and Synthesis of State of the Art in Driver Monitoring
Anaïs Halin, Jacques Verly, Marc Van Droogenbroeck
Sensors (2021) Vol. 21, Iss. 16, pp. 5558-5558
Open Access | Times Cited: 44
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: 35
Physiological Measures of Risk Perception in Highly Automated Driving
Jaume Perelló-March, Christopher Burns, Stewart Birrell, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 5, pp. 4811-4822
Open Access | Times Cited: 34
Driver Stress Detection Using Ultra-Short-Term HRV Analysis under Real World Driving Conditions
Kun Liu, Yubo Jiao, Congcong Du, et al.
Entropy (2023) Vol. 25, Iss. 2, pp. 194-194
Open Access | Times Cited: 19
JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos
Yansha Lu, Chunsheng Liu, Faliang Chang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 11, pp. 11850-11863
Closed Access | Times Cited: 16
Physiological and Physical Sensors for Stress Level, Drowsiness Detection, and Behaviour Analysis
N. Sukumar, Bella Sivashankar, P. Sumathi, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 656-668
Closed Access | Times Cited: 6
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: 24
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
Dichao Liu, Toshihiko Yamasaki, Yu Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 1, pp. 764-777
Open Access | Times Cited: 24
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
An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue
Pengrui Li, Yongqing Zhang, Shihong Liu, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110613-110613
Closed Access | Times Cited: 15
Fatiguenet: A Hybrid Graph Neural Network and Transformer Framework for Real-Time Multimodal Fatigue Detection
Seyyed Ali Zendehbad, Jamal Ghasemi, Farid Samsami Khodadad
(2025)
Closed Access
USE OF MULTIPLE INDICATORS MULTIPLE CAUSES (MIMIC) METHOD TO INVESTIGATE QUANTITATIVE INFERENCE IN SOCIOECONOMIC DETERMINANTS ON MOTORCYCLIST STRESS
Iqra Mona Meilinda, Sugiarto Sugiarto, Sofyan M. Saleh, et al.
MethodsX (2025) Vol. 14, pp. 103240-103240
Open Access
Exploring the effect of driving environment on driver stress: a framework based on urban street view and explainable machine learning
Yuntao Ye, Jie He, Jinrong Hu, et al.
Journal of Intelligent Transportation Systems (2025), pp. 1-17
Closed Access
Physiological-based Driver Monitoring Systems: A Scoping Review
Abdul Razak, Sumendra Yogarayan, Azlan Abd Aziz, et al.
Civil Engineering Journal (2022) Vol. 8, Iss. 12, pp. 3952-3967
Open Access | Times Cited: 17
A multi-modal driver emotion dataset and study: Including facial expressions and synchronized physiological signals
Guoliang Xiang, Song Yao, Hanwen Deng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107772-107772
Closed Access | Times Cited: 9
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