Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Driver Detection Based on a CNN With Decreasing Filter Size
Binbin Qin, Jiangbo Qian, Xin Yu, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 6922-6933
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering
Zhongxu Hu, Yang Xing, Weihao Gu, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 1, pp. 37-47
Open Access | Times Cited: 54
Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach
Haohan Yang, Haochen Liu, Zhongxu Hu, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 2034-2045
Open Access | Times Cited: 27
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos
Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11602-11616
Open Access | Times Cited: 8
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: 33
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
Multimodal driver distraction detection using dual-channel network of CNN and Transformer
Luntian Mou, Jia-Li Chang, Chao Zhou, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121066-121066
Closed Access | Times Cited: 16
Real-time driver distraction recognition: A hybrid genetic deep network based approach
Abeer. A. Aljohani
Alexandria Engineering Journal (2022) Vol. 66, pp. 377-389
Open Access | Times Cited: 26
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
FedBiKD: Federated Bidirectional Knowledge Distillation for Distracted Driving Detection
Ertong Shang, Hui Liu, Zhuo Yang, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11643-11654
Closed Access | Times Cited: 15
100-Driver: A Large-Scale, Diverse Dataset for Distracted Driver Classification
Jing Wang, Wenjing Li, Fang Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 7, pp. 7061-7072
Open Access | Times Cited: 15
EFFNet-CA: An Efficient Driver Distraction Detection Based on Multiscale Features Extractions and Channel Attention Mechanism
Taimoor Ashraf Khan, Gyu Ho Choi, Sokjoon Lee
Sensors (2023) Vol. 23, Iss. 8, pp. 3835-3835
Open Access | Times Cited: 13
Processing and Integration of Multimodal Image Data Supporting the Detection of Behaviors Related to Reduced Concentration Level of Motor Vehicle Users
Anton Smoliński, Paweł Forczmański, Adam Nowosielski
Electronics (2024) Vol. 13, Iss. 13, pp. 2457-2457
Open Access | Times Cited: 5
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
A lightweight model for distracted driver detection based on neural architecture search and coordinate attention
Haibin Sun, Mengting Zhang
Computers & Electrical Engineering (2025) Vol. 123, pp. 110235-110235
Closed Access
A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction
Bing Li, Jie Chen, Zhixiang Huang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 19272-19284
Closed Access | Times Cited: 22
FRNet: DCNN for Real-Time Distracted Driving Detection Toward Embedded Deployment
Cong Duan, Yipeng Gong, Jiacai Liao, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9835-9848
Closed Access | Times Cited: 11
Efficient SonarNet: Lightweight CNN Grafted Vision Transformer Embedding Network for Forward-Looking Sonar Image Segmentation
Ju He, Hu Xu, Shaohong Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Closed Access | Times Cited: 4
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: 4
Large Language Models for Intelligent Transportation: A Review of the State of the Art and Challenges
Sebastian Wandelt, Changhong Zheng, Shuang Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7455-7455
Open Access | Times Cited: 4
MAViT: A lightweight hybrid model with mutual attention mechanism for driver behavior recognition
Haibin Sun, MA Yu-jie
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109921-109921
Closed Access
Real-Time Driver Drowsiness Detection Using YOLOv8 with Whale Optimization Algorithm
P. Nandal, P. Nandal, Tripti Sharma, et al.
SAE International Journal of Transportation Safety (2025) Vol. 13, Iss. 1
Closed Access
Abnormal Driving Behavior Detection: A Machine and Deep Learning Based Hybrid Model
Md Ashraf Uddin, N. Hossain, Asif Shakil Ahamed, et al.
International Journal of Intelligent Transportation Systems Research (2025)
Open 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
Driver distraction detection via multi‐scale domain adaptation network
Jing Wang, Zhongcheng Wu
IET Intelligent Transport Systems (2023) Vol. 17, Iss. 9, pp. 1742-1751
Open Access | Times Cited: 9
Highly Discriminative Driver Distraction Detection Method Based on Swin Transformer
Ziyang Zhang, Lie Yang, Chen Lv
Vehicles (2024) Vol. 6, Iss. 1, pp. 140-156
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top