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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:

Modern data sources and techniques for analysis and forecast of road accidents: A review
Camilo Gutierrez-Osorio, César Pedraza
Journal of Traffic and Transportation Engineering (English Edition) (2020) Vol. 7, Iss. 4, pp. 432-446
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

A literature review of machine learning algorithms for crash injury severity prediction
Kenny Santos, João P. Dias, Conceição Amado
Journal of Safety Research (2021) Vol. 80, pp. 254-269
Closed Access | Times Cited: 111
Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning
J. K. K. Tang, Yao Zhi Huang, Dingli Liu, et al.
Systems (2025) Vol. 13, Iss. 1, pp. 31-31
Open Access | Times Cited: 1
Road traffic accidents: An overview of data sources, analysis techniques and contributing factors
Arun Chand, S. Jayesh, Anjana Bhasi
Materials Today Proceedings (2021) Vol. 47, pp. 5135-5141
Closed Access | Times Cited: 86
Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction
Daniel Santos, José Saias, Paulo Quaresma, et al.
Computers (2021) Vol. 10, Iss. 12, pp. 157-157
Open Access | Times Cited: 69
Comparative Study of Machine Learning Classifiers for Modelling Road Traffic Accidents
Tebogo Bokaba, Wesley Doorsamy, Babu Sena Paul
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 828-828
Open Access | Times Cited: 58
Data-driven approaches for road safety: A comprehensive systematic literature review
Ammar Sohail, Muhammad Aamir Cheema, Mohammed Eunus Ali, et al.
Safety Science (2022) Vol. 158, pp. 105949-105949
Closed Access | Times Cited: 47
A review on neural network techniques for the prediction of road traffic accident severity
Md. Ebrahim Shaik, Md. Milon Islam, Quazi Sazzad Hossain
Asian Transport Studies (2021) Vol. 7, pp. 100040-100040
Open Access | Times Cited: 54
SARIMA Modelling Approach for Forecasting of Traffic Accidents
Nemanja Deretić, Dragan Stanimirović, Mohammed Al Awadh, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4403-4403
Open Access | Times Cited: 28
Improving traffic accident severity prediction using MobileNet transfer learning model and SHAP XAI technique
Omar Aboulola
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300640-e0300640
Open Access | Times Cited: 6
Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring
Alessandro Nalin, Valeria Vignali, Claudio Lantieri, et al.
Journal of Transport Geography (2024) Vol. 118, pp. 103930-103930
Closed Access | Times Cited: 5
Research on the big data of traditional taxi and online car-hailing: A systematic review
Tao Lyu, Peirong Wang, Yanan Gao, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2021) Vol. 8, Iss. 1, pp. 1-34
Open Access | Times Cited: 36
Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data
Camilo Gutierrez-Osorio, Fabio A. González, César Pedraza
Computers (2022) Vol. 11, Iss. 9, pp. 126-126
Open Access | Times Cited: 25
Predicting individuals' car accident risk by trajectory, driving events, and geographical context
L. Bruhwiler, Cheng Fu, Haosheng Huang, et al.
Computers Environment and Urban Systems (2022) Vol. 93, pp. 101760-101760
Open Access | Times Cited: 24
Evaluating the effectiveness of machine learning techniques in forecasting the severity of traffic accidents
Izuchukwu Chukwuma Obasi, Chizubem Benson
Heliyon (2023) Vol. 9, Iss. 8, pp. e18812-e18812
Open Access | Times Cited: 15
Deep Learning-Based Traffic Accident Prediction: An Investigative Study for Enhanced Road Safety
M Girija, V Divya
EAI Endorsed Transactions on Internet of Things (2024) Vol. 10
Open Access | Times Cited: 4
GIS-Based Spatial Analysis Model for Assessing Impact and Cumulative Risk in Road Traffic Accidents via Analytic Hierarchy Process (AHP)—Case Study: Romania
Ștefan Bilașco, Titus Man
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2643-2643
Open Access | Times Cited: 4
An Automated Approach for Predicting Road Traffic Accident Severity Using Transformer Learning and Explainable AI Technique
Omar Aboulola, Ebtisam Alabdulqader, Aisha Ahmed Alarfaj, et al.
IEEE Access (2024) Vol. 12, pp. 61062-61072
Open Access | Times Cited: 4
Explainable Language Models for the Identification of Factors Influencing Crash Severity Levels in Imbalanced Datasets
Shadi Jaradat, Richi Nayak, Mohammed Elhenawy
(2024), pp. 1-5
Closed Access | Times Cited: 4
A Robust Geographically Optimal Zones-based heterogeneity model for analyzing the spatial determinants of national traffic accidents
H. Luo, Peng Luo, Liqiu Meng
GIScience & Remote Sensing (2025) Vol. 62, Iss. 1
Open 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
Integrating design and system approaches for analyzing road traffic collisions in low-income settings
Khondhaker Al Momin, Omar Faruqe Hamim, Md. Shamsul Hoque, et al.
Accident Analysis & Prevention (2025) Vol. 214, pp. 107965-107965
Closed Access
Prediction and interpretation of crash severity using machine learning based on imbalanced traffic crash data
Junlan Chen, Pei Liu, Shuo Wang, et al.
Journal of Safety Research (2025) Vol. 93, pp. 185-199
Closed Access
Recommended System for Predicting Traffic Accident Costs using Enhanced Machine Learning Techniques
Maddala Lakshmi Bai, Rajendra Pamula, Kamesh Subbarao, et al.
Journal of Electrical Engineering and Technology (2025)
Closed Access
Metodología identificadora de áreas con congestión, accidentalidad y corredores de movilidad densificados, por automóvil particular
Jazon Fabian Hernandez Peña, Emilio Bravo Grajales, Carlos Islas-Moreno, et al.
Revista de Ciencias Tecnológicas (2025) Vol. 8, Iss. 1, pp. 1-29
Open Access
Analyzing traffic accident trends and correlations in Iraq: An investigative statistical approach
Dhuha Khalid Hassooni, Redvan Ghasemlounia, Miami M. Hilal, et al.
AIP conference proceedings (2025) Vol. 3303, pp. 040002-040002
Closed Access
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