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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:

Automatic driver distraction detection using deep convolutional neural networks
Md. Uzzol Hossain, Md. Ataur Rahman, Md. Manowarul Islam, et al.
Intelligent Systems with Applications (2022) Vol. 14, pp. 200075-200075
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A dependable hybrid machine learning model for network intrusion detection
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, et al.
Journal of Information Security and Applications (2022) Vol. 72, pp. 103405-103405
Open Access | Times Cited: 102
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: 20
MobileNet-Based Architecture for Distracted Human Driver Detection of Autonomous Cars
Mahmoud Abdelkader Bashery Abbass, Yuseok Ban
Electronics (2024) Vol. 13, Iss. 2, pp. 365-365
Open Access | Times Cited: 8
Machine learning methods for the industrial robotic systems security
Dmitry Tsapin, K. V. Pitelinskiy, S. V. Suvorov, et al.
Journal of Computer Virology and Hacking Techniques (2023) Vol. 20, Iss. 3, pp. 397-414
Closed Access | Times Cited: 14
CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture
Chittathuru Himala Praharsha, Alwin Poulose
Computers in Biology and Medicine (2024) Vol. 180, pp. 108945-108945
Closed 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
How to Prevent Drivers before Their Sleepiness Using Deep Learning-Based Approach
Belhassen Akrout, Sana Fakhfakh
Electronics (2023) Vol. 12, Iss. 4, pp. 965-965
Open Access | Times Cited: 10
Detecting Inattentive and Aggressive Driver Behavior Using Deep Learning: Recent Advances, Challenges with Performance Evaluation
Tina Debbarma, Tannistha Pal, N. Debbarma
Smart innovation, systems and technologies (2025), pp. 125-136
Closed Access
Next-Gen Driver Safety: An Intelligent System Framework for Multi-Factor Authentication in Distraction Detection
Sailee Pramod Shewale
Lecture notes in networks and systems (2025), pp. 653-670
Closed Access
Remediation of chaos in cognitive Internet of Things sensor network
Vidyapati Jha, Priyanka Tripathi
Ad Hoc Networks (2025), pp. 103830-103830
Closed Access
An Identification Method for Road Hypnosis Based on XGBoost-HMM
Longfei Chen, Chenyang Jiao, Bin Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1842-1842
Open Access
Distracted Driving Detection With Object Detections as the Basis Using Deep Learning Algorithm
D. Ramya Cauvery, C. Sakunthala
IGI Global eBooks (2025), pp. 525-548
Closed Access
A Recognition Algorithm for Distracted Driving Behavior Based on CBAM-EfficientNetB0
Xin Shi, F. Li, G. R. Lu, et al.
Lecture notes in electrical engineering (2025), pp. 127-138
Closed Access
Feature Point-Driven Vision Transformer for Driving Behavior Analysis
廷禾 黄
Modeling and Simulation (2025) Vol. 14, Iss. 05, pp. 211-222
Closed Access
A new CNN-BASED object detection system for autonomous mobile robots based on real-world vehicle datasets
Udink Aulia, Iskandar Hasanuddin, Dirham Dirhamsyah, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35247-e35247
Open Access | Times Cited: 3
Driver Distraction Detection Based on Fusion Enhancement and Global Saliency Optimization
Xueda Huang, Shuangshuang Gu, Yuanyuan Li, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3289-3289
Open Access | Times Cited: 3
The Research on Video Analysis of Key Motion Positions Based on Deep Learning Technology
Zhongjie Wang, Hanlie Cheng, Qiang Qin
International Journal of e-Collaboration (2025) Vol. 21, Iss. 1, pp. 1-16
Open Access
A Distracted Driving Detection Model Based On Driving Performance
Bingxu Fu, Qiang Shang, Teng Sun, et al.
IEEE Access (2023) Vol. 11, pp. 26624-26636
Open Access | Times Cited: 8
Detection of distracted driving via edge artificial intelligence
Ding Chen, Zuli Wang, Juan Wang, et al.
Computers & Electrical Engineering (2023) Vol. 111, pp. 108951-108951
Closed Access | Times Cited: 8
Detection of Driving Distractions and Their Impacts
Arian Shajari, Houshyar Asadi, Sébastien Glaser, et al.
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 7
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
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
Identification of dangerous driving state based on lightweight deep learning model
Wei Song, Guangde Zhang, Yicheng Long
Computers & Electrical Engineering (2022) Vol. 105, pp. 108509-108509
Closed Access | Times Cited: 9
Detecting Abnormal Driving Behavior Using Modified DenseNet
Aisha Ayad, Matheel E. Abdulmunim
Iraqi Journal for Computer Science and Mathematics (2023), pp. 48-65
Open Access | Times Cited: 5
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
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