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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:

Detection of Driver Cognitive Distraction Using Machine Learning Methods
Apurva Misra, Siby Samuel, Shi Cao, et al.
IEEE Access (2023) Vol. 11, pp. 18000-18012
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A review of driver gaze estimation and application in gaze behavior understanding
Pavan kumar Sharma, Pranamesh Chakraborty
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108117-108117
Open Access | Times Cited: 8
Towards recognizing cognitive distraction levels with low-cost and high-sensitive measures: The effectiveness of sample, approximate, and traditional steering entropies
Nai-Jen Chang, Chunjiao Dong, S N Zhu, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2025) Vol. 109, pp. 1063-1079
Closed Access | Times Cited: 1
Driver distraction detection based on lightweight networks and tiny object detection
Zhiqin Zhu, Shaowen Wang, Shuangshuang Gu, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 10, pp. 18248-18266
Open Access | Times Cited: 13
Preventing Road Accidents Through Early Detection of Driver Behavior Using Smartphone Motion Sensor Data: An Ensemble Feature Engineering Approach
Ali Raza, Iqra Akhtar, Laith Abualigah, et al.
IEEE Access (2023) Vol. 11, pp. 138457-138471
Open Access | Times Cited: 12
Smart Driving Hardware Augmentation by Flexible Piezoresistive Sensor Matrices with Grafted‐on Anticreep Composites
Kaifeng Chen, Hua Yang, Ang Wang, et al.
Advanced Science (2024)
Open Access | Times Cited: 4
A systematic review of abnormal behaviour detection and analysis in driving simulators
Yuk Ming Tang, Dongning Zhao, Tiantian Chen, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2025) Vol. 109, pp. 897-920
Closed Access
Classifying metro drivers’ cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination
Haiyue Liu, Yue Zhou, Chaozhe Jiang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Eye-Based Recognition of User Traits and States—A Systematic State-of-the-Art Review
Moritz Langner, Peyman Toreini, Alexander Maedche
Journal of Eye Movement Research (2025) Vol. 18, Iss. 2, pp. 8-8
Open Access
Driver Cognitive Distraction Detection based on eye movement behavior and integration of multi-view space-channel feature
Yu Qiao, Xiaohui Yang, Jing Wang, et al.
Expert Systems with Applications (2024), pp. 125975-125975
Closed Access | Times Cited: 3
Distracted driving recognition based on functional connectivity analysis between physiological signals and perinasal perspiration index
Nilufar Vosugh, Zahra Bahmani, Amin Mohammadian
Expert Systems with Applications (2023) Vol. 231, pp. 120707-120707
Closed Access | Times Cited: 7
A Hybrid Deep Neural Network Approach to Recognize Driving Fatigue Based on EEG Signals
Mohammed Alghanim, Hani Attar, Khosro Rezaee, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model
Arian Shajari, Houshyar Asadi, Shehab Alsanwy, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 2093-2099
Closed Access | Times Cited: 4
Distracker: An Intelligent Assistant for Real-Time Distracted Driving Detection and Mitigation
Yash Krishna Sadien, Girish Bekaroo
(2024), pp. 33-47
Closed Access | Times Cited: 1
Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor
Masahiro Tada, Masayuki Nishida
IEICE Transactions on Information and Systems (2024) Vol. E107.D, Iss. 7, pp. 901-907
Open Access | Times Cited: 1
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: 1
Highway Safety with an Intelligent Headlight System for Improved Nighttime Driving
Jacob Kwaku Nkrumah, Yingfeng Cai, Ammar Jafaripournimchahi, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7283-7283
Open Access | Times Cited: 1
Accident Detection in Autonomous Vehicles Using Modified Restricted Boltzmann Machine
Roohullah, Fazli Wahid, Sikandar Ali, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 3
A Systematic Review of Abnormal Behavior Detection and Analysis in Driving Simulators
Yuk Ming Tang, Dongning Zhao, Tiantian Chen, et al.
(2024)
Closed Access
Driver Distraction Detection Using Machine Learning
A Nikhitha
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 05, pp. 1-5
Open Access
Driver Drowsiness Detection Using Vision Transformer
Mohammad Azmi, Fadhlan Hafizhelmi Kamaru Zaman
(2024), pp. 329-336
Closed Access
Real-Time Binary Cell Phone Usage Detection and Classification on Vehicular Edge Devices
Murat Arda Önsü, Pankti Shah, Murat Şimşek, et al.
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1100-1105
Closed Access
A Survey on Driver Monitoring System Using Computer Vision Techniques
Krishan Kumar, M. K. Jayanthi Kannan
Lecture notes in networks and systems (2024), pp. 253-262
Closed Access
Classifying Driver Distraction with Textile Electrocardiograms
Kaveti Pavan, Vishal Singh Roha, Tomohiko Igasaki, et al.
(2024), pp. 1-4
Closed Access
A Deep Learning-Based IDS for Automotive Theft Detection for In-Vehicle CAN Bus
Junaid Ahmad Khan, Dae‐Woon Lim, Young Sik Kim
IEEE Access (2023) Vol. 11, pp. 112814-112829
Open Access | Times Cited: 1
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