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:
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
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
Showing 22 citing articles:
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
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
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
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
Himanshu Mittal, Bindu Verma
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 9561-9570
Closed Access | Times Cited: 19
VFL3D: A Single-Stage Fine-Grained Lightweight Point Cloud 3D Object Detection Algorithm Based on Voxels
Bing Li, Jie Chen, Xinde Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12034-12048
Closed Access | Times Cited: 4
Bing Li, Jie Chen, Xinde Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12034-12048
Closed Access | Times Cited: 4
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
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
Jing Wang, Zhongcheng Wu
IET Intelligent Transport Systems (2023) Vol. 17, Iss. 9, pp. 1742-1751
Open Access | Times Cited: 9
Neuromorphic Driver Monitoring Systems: A Computationally Efficient Proof-of-Concept for Driver Distraction Detection
Waseem Shariff, Mehdi Sefidgar Dilmaghani, Paul Kielty, et al.
IEEE Open Journal of Vehicular Technology (2023) Vol. 4, pp. 836-848
Open Access | Times Cited: 9
Waseem Shariff, Mehdi Sefidgar Dilmaghani, Paul Kielty, et al.
IEEE Open Journal of Vehicular Technology (2023) Vol. 4, pp. 836-848
Open Access | Times Cited: 9
A Novel Driver Distraction Behavior Detection Method Based on Self-Supervised Learning With Masked Image Modeling
Yingzhi Zhang, Taiguo Li, Chao Li, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6056-6071
Open Access | Times Cited: 8
Yingzhi Zhang, Taiguo Li, Chao Li, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 4, pp. 6056-6071
Open Access | Times Cited: 8
A Comparative Study of Four YOLO-Based Models for Distracted Driving Detection
Naoki Tanaka, Hibiki Tanaka, Makoto Ikeda, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 362-370
Closed Access | Times Cited: 2
Naoki Tanaka, Hibiki Tanaka, Makoto Ikeda, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 362-370
Closed Access | Times Cited: 2
Driver Distraction Behavior Detection Framework Based on the DWPose Model, Kalman Filtering, and Multi-Transformer
Xiaofen Shi
IEEE Access (2024) Vol. 12, pp. 80579-80589
Open Access | Times Cited: 2
Xiaofen Shi
IEEE Access (2024) Vol. 12, pp. 80579-80589
Open Access | Times Cited: 2
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier and Dynamic Gaussian Smoothing Supervision
Cong Duan, Zixuan Liu, Jiahao Xia, et al.
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-14
Open Access | Times Cited: 2
Cong Duan, Zixuan Liu, Jiahao Xia, et al.
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-14
Open Access | Times Cited: 2
SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features
Subhajit Bag, Rahul Golder, Sobhan Sarkar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106332-106332
Closed Access | Times Cited: 6
Subhajit Bag, Rahul Golder, Sobhan Sarkar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106332-106332
Closed Access | Times Cited: 6
Learning Driver-Irrelevant Features for Generalizable Driver Behavior Recognition
Hang Gao, Mengting Hu, Yi Liu
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14115-14127
Closed Access | Times Cited: 1
Hang Gao, Mengting Hu, Yi Liu
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14115-14127
Closed Access | Times Cited: 1
A Driving Risk Assessment Framework Considering Driver’s Fatigue State and Distraction Behavior
Jiansong Chen, Qixiang Zhang, Jinxin Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 20120-20136
Closed Access | Times Cited: 1
Jiansong Chen, Qixiang Zhang, Jinxin Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 20120-20136
Closed Access | Times Cited: 1
An Enhanced AI-Based Vehicular Driver Support System Considering Hyperparameter Optimization
Hibiki Tanaka, Masahiro Miwata, Makoto Ikeda, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 1-7
Closed Access | Times Cited: 3
Hibiki Tanaka, Masahiro Miwata, Makoto Ikeda, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 1-7
Closed Access | Times Cited: 3
Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas
Vincent Karas, Dagmar Schuller, Björn W. Schuller
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 6, pp. 4918-4932
Open Access | Times Cited: 2
Vincent Karas, Dagmar Schuller, Björn W. Schuller
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 6, pp. 4918-4932
Open Access | Times Cited: 2
Performance Evaluation of an AI-Based Safety Driving Support System for Detecting Distracted Driving
Masahiro Miwata, Mitsuki Tsuneyoshi, Makoto Ikeda, et al.
Lecture notes in networks and systems (2022), pp. 10-17
Closed Access | Times Cited: 3
Masahiro Miwata, Mitsuki Tsuneyoshi, Makoto Ikeda, et al.
Lecture notes in networks and systems (2022), pp. 10-17
Closed Access | Times Cited: 3
Towards Efficient Risky Driving Detection: A Benchmark and a Semi-Supervised Model
Qimin Cheng, LI Huan-ying, Yunfei Yang, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1386-1386
Open Access
Qimin Cheng, LI Huan-ying, Yunfei Yang, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1386-1386
Open Access
Performance Evaluation of a Distracted Driving Detection System Considering Smoking Behavior
Naoki Tanaka, Hiroto Tanaka, Hibiki Tanaka, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 145-153
Closed Access
Naoki Tanaka, Hiroto Tanaka, Hibiki Tanaka, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 145-153
Closed Access
An AI-Driven System for Identifying Dangerous Driving Vehicles
Hibiki Tanaka, Kazuki Shimomura, Naoki Tanaka, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 395-400
Closed Access
Hibiki Tanaka, Kazuki Shimomura, Naoki Tanaka, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 395-400
Closed Access
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score-Softmax Classifier
Cong Duan, Zixuan Liu, Jiahao Xia, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Cong Duan, Zixuan Liu, Jiahao Xia, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
An AI-Based Support System for Left-Behind Children Detection in Vehicles
Hibiki Tanaka, Naoki Tanaka, Shoei Sakano, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 39-47
Closed Access
Hibiki Tanaka, Naoki Tanaka, Shoei Sakano, et al.
Lecture notes on data engineering and communications technologies (2023), pp. 39-47
Closed Access
