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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:

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

Showing 25 citing articles:

Explainable artificial intelligence in transport Logistics: Risk analysis for road accidents
Ismail Abdulrashid, Reza Zanjirani Farahani, Shamkhal Mammadov, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 186, pp. 103563-103563
Closed Access | Times Cited: 13
The Development of a Design Theory for Web Based Information Systems
Jain Emadi
Journal of Robotics Spectrum (2023), pp. 13-23
Open Access | Times Cited: 18
Advancing autonomous vehicle safety assessment: A novel methodology for moving from functional to concrete scenarios using kinetic 3D-LiDAR and SHAP
Minhee Kang, Saeyan Eom, Keeyeon Hwang
Results in Engineering (2024) Vol. 24, pp. 103364-103364
Closed Access | Times Cited: 5
Analyzing the Risk Factors of Traffic Accident Severity Using a Combination of Random Forest and Association Rules
Jianyu Wang, Shuo Ma, Pengpeng Jiao, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8559-8559
Open Access | Times Cited: 13
Face to planning risk: A hierarchical risk-aware prediction module for the safe planning system
Jiahui Xu, Wenbo Shao, Bingbing Nie, et al.
Accident Analysis & Prevention (2025) Vol. 213, pp. 107906-107906
Closed Access
An Explainable AI approach for detecting failures in air pressure systems
Shawqi Mohammed Farea, Mehmet Emin Mumcuoğlu, Mustafa Ünel
Engineering Failure Analysis (2025), pp. 109441-109441
Closed Access
Driver violation analysis: IETT example
Gizem Kaya, Ebru Demirci, Bükra DOĞANER
Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi (2025) Vol. 8, Iss. 1, pp. 22-38
Closed Access
Reliable imputation of incomplete crash data for predicting driver injury severity
Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, et al.
Accident Analysis & Prevention (2025) Vol. 216, pp. 108020-108020
Closed Access
AI revolution in insurance: bridging research and reality
Subhrajit Bhattacharya, German Castignani, Leandro Masello, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Pricing weekly motor insurance drivers’ with behavioral and contextual telematics data
Montserrat Guillen, Ana María Pérez Marín, Jens Perch Nielsen
Heliyon (2024) Vol. 10, Iss. 16, pp. e36501-e36501
Open Access | Times Cited: 3
The effect of guardrail color on driver behavior based on driving style along mountain curves
Rong Hu, Xuan Wang, He Wu, et al.
Traffic Injury Prevention (2024) Vol. 25, Iss. 6, pp. 860-869
Open Access | Times Cited: 2
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: 2
Are electric vehicles riskier? A comparative study of driving behaviour and insurance claims for internal combustion engine, hybrid and electric vehicles
Kevin McDonnell, Barry Sheehan, Finbarr Murphy, et al.
Accident Analysis & Prevention (2024) Vol. 207, pp. 107761-107761
Open Access | Times Cited: 2
Context-aware driver risk prediction with telematics data
Sobhan Moosavi, Rajiv Ramnath
Accident Analysis & Prevention (2023) Vol. 192, pp. 107269-107269
Closed Access | Times Cited: 6
Machine Learning in Forecasting Motor Insurance Claims
Thomas Poufinas, Periklis Gogas, Théophilos Papadimitriou, et al.
Risks (2023) Vol. 11, Iss. 9, pp. 164-164
Open Access | Times Cited: 6
Potential Applications of Explainable Artificial Intelligence to Actuarial Problems
Catalina Lozano‐Murcia, Francisco P. Romero, Jesús Serrano-Guerrero, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 635-635
Open Access | Times Cited: 1
P-R-Dash: A Dashboard-Constructing Tool for Twinning Business Processes
Lam-Son Lê
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
Using LightGBM with SHAP for predicting and analyzing traffic accidents severity
Jinqiang Li, Yuying Guo, Li Li, et al.
(2023), pp. 2150-2155
Closed Access | Times Cited: 2
Driving Behavior and Customer Handling of Urban Public Transportation Drivers and Operators Before and After the COVID-19 Outbreak in Ethiopia, 2022
Kassa Moges Tareke
Transportation in Developing Economies (2023) Vol. 10, Iss. 1
Closed Access | Times Cited: 1
Face to Planning Risk: A Hierarchical Risk-Aware Prediction Module for the Safe Planning System
Jiahui Xu, Wenbo Shao, Binbin Nie, et al.
(2024)
Closed Access
Automated Machine Learning in Insurance
Panyi Dong, Zhiyu Quan
Insurance Mathematics and Economics (2024) Vol. 120, pp. 17-41
Open Access
Visualizing with Explainable AI Methods to Predict Injury Severity in Traffic Incidents
Ovidiu Jianu, Monica Drăgoicea, Fadi Hosni
2022 26th International Conference on System Theory, Control and Computing (ICSTCC) (2024), pp. 414-419
Closed Access
Determining Driving Risk Factors from Near-Miss Events in Telematics Data Using Histogram-Based Gradient Boosting Regressors
Shuai Sun, Montserrat Guillén, Ana María Pérez Marín, et al.
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 4, pp. 3477-3497
Open Access
Econometrics of Insurance Based on Telematics Information and Machine Learning
Montserrat Guillén
(2024), pp. 401-416
Closed Access
The Development of a Design Theory for Web Based Information Systems
M Suriya, Babitha Lincy R, Minu Balakkrishnan, et al.
Journal of Computing and Natural Science (2023), pp. 113-123
Open Access
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