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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:

Analyzing driver behavior under naturalistic driving conditions: A review
Harpreet Singh, Ankit Kathuria
Accident Analysis & Prevention (2020) Vol. 150, pp. 105908-105908
Closed Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

Trends and Emerging Technologies for the Development of Electric Vehicles
Tiande Mo, Yu Li, Kin-tak Lau, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6271-6271
Open Access | Times Cited: 63
Intelligent driver monitoring system: An Internet of Things-based system for tracking and identifying the driving behavior
Mohammed Karrouchi, Abdelhafid Messaoudi, Kamal Kassmi, et al.
Computer Standards & Interfaces (2022) Vol. 84, pp. 103704-103704
Closed Access | Times Cited: 48
Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence
Leandro Masello, German Castignani, Barry Sheehan, et al.
Accident Analysis & Prevention (2023) Vol. 184, pp. 106997-106997
Open Access | Times Cited: 25
On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers
Leandro Masello, Barry Sheehan, German Castignani, et al.
Accident Analysis & Prevention (2023) Vol. 183, pp. 106969-106969
Open Access | Times Cited: 24
A self-powered and self-sensing driver behavior detection system for smart transportation
Jiang‐Fan Chen, Lingji Kong, Zheng Fang, et al.
Nano Energy (2024) Vol. 122, pp. 109327-109327
Closed Access | Times Cited: 9
Surrogate safety measures for traffic oscillations based on empirical vehicle trajectories prior to crashes
Yuxuan Wang, Zhibin Li, Pan Liu, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 161, pp. 104543-104543
Closed Access | Times Cited: 8
Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting
Yichang Shao, Xiaomeng Shi, Yuhan Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108542-108542
Closed Access | Times Cited: 8
Transformer-based modeling of abnormal driving events for freeway crash risk evaluation
Lei Han, Rongjie Yu, Chenzhu Wang, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 165, pp. 104727-104727
Closed Access | Times Cited: 8
Projecting Road Traffic Fatalities in Australia: Insights for Targeted Safety Interventions
Alì Soltani, Saeid Afshari, Mohammad Amin Amiri
Injury (2025), pp. 112166-112166
Open Access | Times Cited: 1
Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis
Qaisar Abbas, Abdullah Alsheddy
Sensors (2020) Vol. 21, Iss. 1, pp. 56-56
Open Access | Times Cited: 65
Survey and Synthesis of State of the Art in Driver Monitoring
Anaïs Halin, Jacques Verly, Marc Van Droogenbroeck
Sensors (2021) Vol. 21, Iss. 16, pp. 5558-5558
Open Access | Times Cited: 45
Profiling drivers to assess safe and eco-driving behavior – A systematic review of naturalistic driving studies
Harpreet Singh, Ankit Kathuria
Accident Analysis & Prevention (2021) Vol. 161, pp. 106349-106349
Closed Access | Times Cited: 43
Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset
Junhua Wang, Ting Fu, Jiangtian Xue, et al.
International Journal of Transportation Science and Technology (2022) Vol. 12, Iss. 1, pp. 273-290
Open Access | Times Cited: 30
Self-reported aberrant driving behavior among Bus Rapid Transit drivers
Harpreet Singh, Ankit Kathuria
Journal of Public Transportation (2023) Vol. 25, pp. 100040-100040
Open Access | Times Cited: 18
Bayesian spatial modeling for speeding likelihood using floating car trajectories
Haiyue Liu, Chaozhe Jiang, Chuanyun Fu, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2025)
Open Access
Cognitive and Emotional Factors Underlying Driving Behaviours in Young and Older Adults: A Unified Framework
Eid Abo Hamza, Dalia Bedewy, Gabriel Andrade, et al.
(2025)
Closed Access
Causal Factors in Elderly Pedestrian Traffic Injuries Based on Association Analysis
Tengyuan Fang, Feng Xu, Zhen Zou
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1170-1170
Open Access
Driving behavior inertia in urban tunnel diverging areas: New findings based on task-switching perspective
Shiming He, Zhigang Du, Jialin Mei, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2025) Vol. 109, pp. 1007-1023
Closed Access
Korean Translation and Validation of the Multidimensional Driving Style Inventory
Ilsun Rhiu, Wonjoon Kim
Heliyon (2025) Vol. 11, Iss. 3, pp. e42344-e42344
Open Access
Weather-Adaptive Regenerative Braking Strategy Based on Driving Style Recognition for Intelligent Electric Vehicles
Marwa Ziadia, Sousso Kélouwani, Ali Amamou, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1175-1175
Open Access
Next generation Road Safety Solutions: IoT-Driven Accident Prevention for Smart Riders
Santhiya Ravindran, Gurukarthik Babu Balachandran
Journal of Industrial Information Integration (2025), pp. 100804-100804
Closed Access
Analyzing determinants of traffic violations in a multi-cultural setting: Case of Abu Dhabi
Praveen Maghelal, Zhizhao Li, Amani Alfarra, et al.
Journal of Urban Management (2025)
Open Access
A Novel Machine Vision-Based Collision Risk Warning Method for Unsignalized Intersections on Arterial Roads
Zhongbin Luo, Yanqiu Bi, Qing Ye, et al.
Electronics (2025) Vol. 14, Iss. 6, pp. 1098-1098
Open Access
Development of a framework for risky driving scenario identification, individual risk assessment, and group risk differences estimation using naturalistic driving data from the i-DREAMS project
Yanchao Song, Veerle Ross, Robert A. C. Ruiter, et al.
Accident Analysis & Prevention (2025) Vol. 215, pp. 107993-107993
Open Access
Revealing Crash Hotspots Concerning Google Traffic Maps Historical Data by Supervised and Ensemble Machine Learning Techniques
Hamid Mirzahossein, Pedram Nobakht, S. Travis Waller, et al.
Transportation Engineering (2025), pp. 100326-100326
Open Access
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