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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:

Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection
Jing Bai, Wentao Yu, Zhu Xiao, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 12, pp. 13821-13833
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Privacy-Preserving Federated Transfer Learning for Driver Drowsiness Detection
Linlin Zhang, Hideo Saitô, Liang Yang, et al.
IEEE Access (2022) Vol. 10, pp. 80565-80574
Open Access | Times Cited: 30
Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model
Fiaz Majeed, Umair Shafique, Mejdl Safran, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8741-8741
Open Access | Times Cited: 17
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
Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features
Lie Yang, Haohan Yang, Henglai Wei, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6938-6950
Closed Access | Times Cited: 7
A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time scenarios
Amina Turki, Omar Kahouli, Saleh Albadran, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 2, pp. 3211-3234
Open Access | Times Cited: 6
Remote Photoplethysmography and Motion Tracking Convolutional Neural Network with Bidirectional Long Short-Term Memory: Non-Invasive Fatigue Detection Method Based on Multi-Modal Fusion
Lingjian Kong, Kai Xie, Kaixuan Niu, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 455-455
Open Access | Times Cited: 6
DDD TinyML: A TinyML-Based Driver Drowsiness Detection Model Using Deep Learning
Norah N. Alajlan, Dina M. Ibrahim
Sensors (2023) Vol. 23, Iss. 12, pp. 5696-5696
Open Access | Times Cited: 13
Detect me if you can: a feature based approach for human emotion recognition using hyperparameters tuned deep neural networks
Naman Goyal, Major Singh Goraya, Tajinder Singh
Multimedia Tools and Applications (2025)
Closed Access
Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques
Siham Essahraui, Ismail Lamaakal, Ikhlas El Hamly, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 812-812
Open Access
Driver drowsiness detection using machine learning algorithms
C. Lakshmi Deepika, K.B. Jithendra, B. Poojitha, et al.
AIP conference proceedings (2025) Vol. 3253, pp. 030020-030020
Closed Access
Prior knowledge-guided multi-information graph convolutional network for driver drowsiness detection
Wei Feng, Jucheng Yang, Yuan Wang, et al.
Expert Systems with Applications (2025), pp. 127028-127028
Closed Access
CM-FusionNet: A cross-modal fusion fatigue detection method based on electroencephalogram and electrooculogram
Fuzhong Huang, Chunfeng Yang, Wei Weng, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110204-110204
Closed Access
Using complex networks and multiple artificial intelligence algorithms for table tennis match action recognition and technical-tactical analysis
Honglin Song, Yutao Li, C.Y. Fu, et al.
Chaos Solitons & Fractals (2023) Vol. 178, pp. 114343-114343
Closed Access | Times Cited: 11
A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits
Jin Zheng, Qing Gao, Maciej Ogorzałek, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 5706-5720
Closed Access | Times Cited: 3
Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily
Changqin Huang, Yi Wang, Yunliang Jiang, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 11, pp. 6607-6618
Closed Access | Times Cited: 3
Self-Supervised Multi-Granularity Graph Attention Network for Vision-Based Driver Fatigue Detection
Yiming Huang, Chunsheng Liu, Faliang Chang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 4, pp. 3067-3080
Closed Access | Times Cited: 2
A State-of-the-Art Computer Vision Adopting Non-Euclidean Deep-Learning Models
Sakib H. Chowdhury, Md. Robius Sany, Md. Hafiz Ahamed, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-33
Open Access | Times Cited: 6
Real-Time Contactless Eye Blink Detection Using UWB Radar
Jingyang Hu, Hongbo Jiang, Daibo Liu, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 6, pp. 6606-6619
Closed Access | Times Cited: 6
Hyperspectral Image Classification Using Geometric Spatial–Spectral Feature Integration: A Class Incremental Learning Approach
Jing Bai, Ruotong Liu, Hai‐Sheng Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 5
Journey tracker: driver alerting system with a deep learning approach
N Yashaswini, Vanishri Arun, B. M. Shashikala, et al.
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 1
Detection Technologies for Driver’s State Monitoring: A Review
Maged S. Al-Quraishi, Syed Saad Azhar Ali, Muhammad Al‐Qurishi, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e39592-e39592
Open Access | Times Cited: 1
Multi-level domain adaptation for improved generalization in electroencephalogram-based driver fatigue detection
Fuzhong Huang, Qicong Wang, Lei Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109825-109825
Closed Access | Times Cited: 1
Drowsiness Detection in Drivers Using Facial Feature Analysis
Ebenezer Essel, Fred Lacy, Fatema A. Albalooshi, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 20-20
Open Access | Times Cited: 1
Self-Supervised Video Representation Learning by Video Incoherence Detection
Haozhi Cao, Yuecong Xu, Kezhi Mao, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 6, pp. 3810-3822
Open Access | Times Cited: 4
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
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