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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:

Distracted driving detection based on the fusion of deep learning and causal reasoning
Peng Ping, Cong Huang, Weiping Ding, et al.
Information Fusion (2022) Vol. 89, pp. 121-142
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Deep causal factorization network: A novel domain generalization method for cross-machine bearing fault diagnosis
Sixiang Jia, Yongbo Li, Xinyue Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 192, pp. 110228-110228
Closed Access | Times Cited: 52
Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment
Kunpeng Zhang, Shipu Wang, Ning Jia, et al.
Accident Analysis & Prevention (2024) Vol. 198, pp. 107497-107497
Closed Access | Times Cited: 10
A comprehensive survey of deep learning-based lightweight object detection models for edge devices
Payal Mittal
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 10
CAT-CapsNet: A Convolutional and Attention Based Capsule Network to Detect the Driver’s Distraction
Himanshu Mittal, Bindu Verma
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9561-9570
Closed Access | Times Cited: 19
The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques
Rafał Doniec, Natalia Piaseczna, Konrad Duraj, et al.
Systems and Soft Computing (2024) Vol. 6, pp. 200078-200078
Open Access | Times Cited: 6
Three stage classification framework with ranking scheme for distracted driver detection using heuristic-assisted strategy
Prameeladevi Chillakuru, K Ananthajothi, D. Divya
Knowledge-Based Systems (2024) Vol. 293, pp. 111589-111589
Closed Access | Times Cited: 4
Driver Distraction Prediction: A Kernel Functions Analysis for Deep Kernelized Autoencoder
Kwok Tai Chui, Brij B. Gupta, Varsha Arya
Communications in computer and information science (2025), pp. 89-97
Closed Access
Impact of feature reduction techniques on classification accuracy of driving behavior using machine and deep learning approaches: Comparative study
Noor Walid Khalid, Wisam Dawood Abdullah
AIP conference proceedings (2025) Vol. 3282, pp. 030028-030028
Closed Access
Dual-perspective safety driver secondary task detection method based on swin-transformer and cross-attention
Qingchao Liu, Siqi Chen, Guoqing Liu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103320-103320
Closed Access
Enhancing road safety with DL vision: Do driver distraction alerts hold the key?
Luqman Ali, Muhammad Swavaf, Fady Alnajjar, et al.
Neural Computing and Applications (2025)
Closed Access
Multi‐Modal Anomalous Driving Behavior Detection With Adaptive Masking
Kun Zeng, Zhonghua Peng, Zuoyong Li, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 12-14
Closed Access
Unusual Driver Behavior Detection in Videos Using Deep Learning Models
Hamad Ali Abosaq, Muhammad Ramzan, Faisal Althobiani, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 311-311
Open Access | Times Cited: 18
Research on Lightweight-Based Algorithm for Detecting Distracted Driving Behaviour
Chengcheng Lou, Xin Nie
Electronics (2023) Vol. 12, Iss. 22, pp. 4640-4640
Open Access | Times Cited: 7
SegLD: Achieving universal, zero-shot and open-vocabulary segmentation through multimodal fusion via latent diffusion processes
Hongtao Zheng, Yifei Ding, Zilong Wang, et al.
Information Fusion (2024) Vol. 111, pp. 102509-102509
Closed Access | Times Cited: 2
Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior through Machine Learning: A Systematic Literature Review, 2013–2023
Javier Lacherre, José L. Castillo, David Mauricio
Computation (2024) Vol. 12, Iss. 7, pp. 131-131
Open Access | Times Cited: 2
Distracted Driving Behavior Detection Algorithm Based on Lightweight StarDL-YOLO
Qian Shen, Lei Zhang, Yuxiang Zhang, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3216-3216
Open Access | Times Cited: 2
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
Rafał Doniec, Justyna Konior, Szymon Sieciński, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5551-5551
Open Access | Times Cited: 4
Face Fatigue Feature Detection Based on Improved D-S Model in Complex Scenes
Jian‐Feng Cai, Xu Liao, Junbo Bai, et al.
IEEE Access (2023) Vol. 11, pp. 101790-101798
Open Access | Times Cited: 4
U2-Net: A Very-Deep Convolutional Neural Network for Detecting Distracted Drivers
Nawaf O. Alsrehin, Mohit Gupta, Izzat Alsmadi, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11898-11898
Open Access | Times Cited: 4
Evaluation of Intoxication Level with EOG Analysis and Machine Learning: A Study on Driving Simulator*
Natalia Piaseczna, Konrad Duraj, Rafał Doniec, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access | Times Cited: 4
A Lightweight and Efficient Distracted Driver Detection Model Fusing Convolutional Neural Network and Vision Transformer
Zhao Li, Xia Zhao, Fuwei Wu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 19962-19978
Closed Access | Times Cited: 1
DSTANet: learning a dual-stream model for anomaly driving action detection using spatio-temporal and appearance features
Zhonghua Peng, Rong Hu, Zuoyong Li, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
Rafał Doniec, Justyna Konior, Szymon Sieciński, et al.
(2023)
Open Access | Times Cited: 3
A Privacy-Preserving Learning Method for Analyzing HEV Driver’s Driving Behaviors
Chung-Hong Lee, Hsin-Chang Yang
IEEE Access (2023) Vol. 11, pp. 76816-76826
Open Access | Times Cited: 3
Detecting Distracted Drivers Using Convolutional Neural Networks
Mohamad Tarabin, Mariam Mohamed Alketbi, Hamad Rashed Alfalasi, et al.
(2023), pp. 59-66
Closed Access | Times Cited: 3
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