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:

Prevalence of cell phone use while driving and its impact on driving performance, focusing on near-crash risk: A survey study in Tehran
Hossein Esfahani, Ramin Arvin, Ziqi Song, et al.
Journal of Transportation Safety & Security (2019) Vol. 13, Iss. 9, pp. 957-977
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
Amir Bahador Parsa, Ali Movahedi, Homa Taghipour, et al.
Accident Analysis & Prevention (2019) Vol. 136, pp. 105405-105405
Open Access | Times Cited: 700
Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk
Duy Quy Nguyen-Phuoc, Óscar Oviedo-Trespalacios, Diep Ngoc Su, et al.
Accident Analysis & Prevention (2020) Vol. 143, pp. 105592-105592
Closed Access | Times Cited: 92
HCF: A Hybrid CNN Framework for Behavior Detection of Distracted Drivers
Chen Huang, Xiaochen Wang, Jiannong Cao, et al.
IEEE Access (2020) Vol. 8, pp. 109335-109349
Open Access | Times Cited: 89
Smart phone usage, sleep quality and depression in university students
Fadime Kaya, Nihal Bostancı Daştan, Erkan Durar
International Journal of Social Psychiatry (2020) Vol. 67, Iss. 5, pp. 407-414
Closed Access | Times Cited: 74
Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learning
Manu S. Pillai, Gopal Chaudhary, Manju Khari, et al.
Soft Computing (2021) Vol. 25, Iss. 18, pp. 11929-11940
Closed Access | Times Cited: 69
Quality of location-based crowdsourced speed data on surface streets: A case study of Waze and Bluetooth speed data in Sevierville, TN
Nima Hoseinzadeh, Yuandong Liu, Lee D. Han, et al.
Computers Environment and Urban Systems (2020) Vol. 83, pp. 101518-101518
Closed Access | Times Cited: 41
Relationship between driving styles and biological behavior of drivers in negative emotional state
Naser Habibifar, Hamed Salmanzadeh
Transportation Research Part F Traffic Psychology and Behaviour (2022) Vol. 85, pp. 245-258
Closed Access | Times Cited: 26
Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches
Vaegae Naveen Kumar, Kranthi Kumar Pulluri, Kalapraveen Bagadi, et al.
IEEE Access (2022) Vol. 10, pp. 116087-116097
Open Access | Times Cited: 23
Driving Simulator Study of Text Messaging and Phone Conversations: Effects of Messages’ Valence, Drivers’ Values and Self-reported Driving Behaviors
Ivars Austers, Inese Muzikante, Ronalds Cinks
Heliyon (2025) Vol. 11, Iss. 2, pp. e42128-e42128
Open Access
Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data
Ramin Arvin, Asad J. Khattak
Accident Analysis & Prevention (2020) Vol. 146, pp. 105733-105733
Open Access | Times Cited: 38
Understanding how relationships between crash frequency and correlates vary for multilane rural highways: Estimating geographically and temporally weighted regression models
Amin Mohammadnazar, Iman Mahdinia, Numan Ahmad, et al.
Accident Analysis & Prevention (2021) Vol. 157, pp. 106146-106146
Closed Access | Times Cited: 28
Young drivers and cellphone distraction: Pattern recognition from fatal crashes
Md Mahmud Hossain, Huaguo Zhou, Subasish Das, et al.
Journal of Transportation Safety & Security (2022) Vol. 15, Iss. 3, pp. 239-264
Closed Access | Times Cited: 21
Is all high-risk behaviour premeditated? A qualitative exploratory approach to the self-regulation of habitual and risky driving behaviours
Steven Love, Verity Truelove, Bevan Rowland, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2022) Vol. 90, pp. 312-325
Closed Access | Times Cited: 17
Risk assessment of driver performance in the oil and gas transportation industry: Analyzing the relationship between driver vigilance, attention, reaction time, and safe driving practices
Al‐Baraa Abdulrahman Al‐Mekhlafi, Ahmad Shahrul Nizam Isha, Nicholas Chileshe, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27668-e27668
Open Access | Times Cited: 3
Mining patterns of near-crash events with and without secondary tasks
Xiaoqiang Kong, Subasish Das, Yunlong Zhang
Accident Analysis & Prevention (2021) Vol. 157, pp. 106162-106162
Closed Access | Times Cited: 19
Improving Driving Safety by Detecting Negative Emotions with Biological Signals: Which Is the Best?
Naser Habibifar, Hamed Salmanzadeh
Transportation Research Record Journal of the Transportation Research Board (2021) Vol. 2676, Iss. 2, pp. 334-349
Closed Access | Times Cited: 15
The role of drivers’ social interactions in their driving behavior: Empirical evidence and implications for car-following and traffic flow
Sevin Mohammadi, Ramin Arvin, Asad J. Khattak, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2021) Vol. 80, pp. 203-217
Open Access | Times Cited: 12
A novel deep ensemble based approach to detect crashes using sequential traffic data
Homa Taghipour, Amir Bahador Parsa, Rishabh Singh Chauhan, et al.
IATSS Research (2021) Vol. 46, Iss. 1, pp. 122-129
Open Access | Times Cited: 12
The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida
Mohammadreza Koloushani, Mahyar Ghorbanzadeh, Mehmet Baran Ulak, et al.
Sustainability (2022) Vol. 14, Iss. 2, pp. 696-696
Open Access | Times Cited: 8
Understanding the domain of driving distraction with knowledge graphs
Wenxia Xu, Lei Feng, Jun Ma
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278822-e0278822
Open Access | Times Cited: 8
Indonesian version of the motorcycle rider behaviour questionnaire: cross-cultural adaptation and validation
Dina Lusiana Setyowati, Yuliani Setyaningsih, Chriswardani Suryawati, et al.
International Journal of Public Health Science (IJPHS) (2024) Vol. 13, Iss. 3, pp. 1276-1276
Open Access | Times Cited: 1
An exploratory analysis of factors leading to prevalence of distracted driving behavior in Pakistan
Qamar Muneer, Arshad Hussain, Muhammad Asif Khan, et al.
Case Studies on Transport Policy (2024) Vol. 17, pp. 101257-101257
Closed Access | Times Cited: 1
Comparative analysis of the effects of mobile phone use on driving performance using ANOVA and ANCOVA
Gianfranco Fancello, Marta Adamu, Patrizia Serra, et al.
IET Intelligent Transport Systems (2020) Vol. 14, Iss. 9, pp. 993-1003
Closed Access | Times Cited: 8
Understanding the Factors Affecting Urban Vehicle-to-Vehicle Crash Severity with Focus on Drivers' Route Familiarity
Mahyar Vahedi Saheli
Computational Research Progress in Applied Science and Engineering (2022) Vol. 8, Iss. S1, pp. 1-7
Open Access | Times Cited: 5
Understanding the mechanism behind young drivers’ distracted driving behaviour based on S-O-R theory
Pengzi Chu, Yi Yu, Jingshuai Yang, et al.
Journal of Transportation Safety & Security (2021) Vol. 14, Iss. 10, pp. 1655-1673
Closed Access | Times Cited: 6
Page 1 - Next Page

Scroll to top