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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:

Deep unsupervised multi-modal fusion network for detecting driver distraction
Yuxin Zhang, Yiqiang Chen, Chenlong Gao
Neurocomputing (2020) Vol. 421, pp. 26-38
Closed Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

A multimodal deep neural network for prediction of the driver’s focus of attention based on anthropomorphic attention mechanism and prior knowledge
Rui Fu, Tao Huang, Mingyue Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119157-119157
Closed Access | Times Cited: 11
A vigilance estimation method for high-speed rail drivers using physiological signals with a two-level fusion framework
Yufan Pan, Zhaojun Li, Ertian Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104831-104831
Closed Access | Times Cited: 6
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: 6
A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features
Qaisar Abbas, Abdullah Alsheddy
IEEE Access (2021) Vol. 9, pp. 47530-47564
Open Access | Times Cited: 14
A novel adaptive vehicle speed recommender fuzzy system for autonomous vehicles on conventional two‐lane roads
Felipe Barreno, Matilde Santos, Manuel Romana García
Expert Systems (2022) Vol. 41, Iss. 2
Open Access | Times Cited: 10
EEG-Based Driving Fatigue Recognition Using Hybrid Deep Transfer Learning Approach
Khosro Rezaee, Mohammad R. Khosravi, Hani Attar, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 9
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
Transitioning to multi-dimensional estimation of visual distraction and its safety effects under automated driving: A spatiotemporal and directional estimation approach
Song Wang, Zhixia Li, Chao Zeng, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 153, pp. 104212-104212
Closed Access | Times Cited: 4
Driver distraction and fatigue detection in images using ME‐YOLOv8 algorithm
Ali Debsi, Ling Guo, Mohammed Al‐Mahbashi, et al.
IET Intelligent Transport Systems (2024)
Open Access | Times Cited: 1
Driver’s mobile phone usage detection using guided learning based on attention features and prior knowledge
Tao Huang, Rui Fu, Qinyu Sun
Expert Systems with Applications (2022) Vol. 206, pp. 117877-117877
Closed Access | Times Cited: 7
Incorporating the Theory of Planned Behaviour into Distracted Driving: Influencing Factors and Intervention Effects
L. Zhang, J. S. Peng, Z. Song, et al.
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 4
TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition
Dichao Liu, Toshihiko Yamasaki, Yu Wang, et al.
IEEE Access (2021) Vol. 9, pp. 125955-125969
Open Access | Times Cited: 9
Comprehensive survey of human-activity detection and recognition with time-series model
K. Ishwarya, A. Nithya
AIP conference proceedings (2023) Vol. 2760, pp. 050012-050012
Closed Access | Times Cited: 3
Neural Networks for Driver Behavior Analysis
Fabio Martinelli, Fiammetta Marulli, Francesco Mercaldo, et al.
Electronics (2021) Vol. 10, Iss. 3, pp. 342-342
Open Access | Times Cited: 8
Passenger non-driving related tasks detection using a light weight neural network based on human prior knowledge and soft-hard feature constraints
Li Ma, Yingshi Guo, Rui Fu, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119631-119631
Closed 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.
(2023)
Open Access | Times Cited: 2
Naturalistic Driving Scenario Recognition with Multimodal Data
Ke Wang, Jie Yang, Zhe Li, et al.
2022 23rd IEEE International Conference on Mobile Data Management (MDM) (2022), pp. 476-481
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
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
Driver Action Recognition in Low-Light Conditions: A Multi-View Fusion Framework
Karam Abdullah, Imen Jegham, Mohamed Ali Mahjoub, et al.
(2024), pp. 171-176
Closed Access
Towards Pay-As-You-Move (PAYM) insurance: The multimodal mobility risk transfer solution
Emer Owens, Barry Sheehan, Martin Mullins, et al.
Transportation Research Interdisciplinary Perspectives (2024) Vol. 28, pp. 101283-101283
Open Access
Traffic Conflict Forecasting and Avoidance System Under Automated Driving System Disengagement: A Non-Intrusive Prototype Design
Song Wang, Zhixia Li, Jia Hu, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2394-2412
Closed Access | Times Cited: 1
Multimodel System for Driver Distraction Detection and Elimination
Abdulrahman AbouOuf, Ibrahim Sobh, Mohammad Nasser, et al.
IEEE Access (2022) Vol. 10, pp. 72458-72469
Open Access | Times Cited: 2
Cell phone usage detection in roadway images: from plate recognition to violation classification
Amal Balabid, Areej Altaban, Maram Albsisi, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 6, pp. 4667-4682
Closed Access | Times Cited: 1
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yuxin Zhang, Yiqiang Chen, Jindong Wang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1

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