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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:

Actuarial intelligence in auto insurance: Claim frequency modeling with driving behavior features and improved boosted trees
Shengwang Meng, Yaqian Gao, Yifan Huang
Insurance Mathematics and Economics (2022) Vol. 106, pp. 115-127
Closed Access | Times Cited: 17

Showing 17 citing articles:

Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review
Debidutta Pattnaik, Sougata Ray, Raghu Raman
Heliyon (2023) Vol. 10, Iss. 1, pp. e23492-e23492
Open Access | Times Cited: 43
Enhanced gradient boosting for zero-inflated insurance claims and comparative analysis of CatBoost , XGBoost , and LightGBM
Banghee So
Scandinavian Actuarial Journal (2024), pp. 1-23
Closed Access | Times Cited: 6
Big data and machine learning-based decision support system to reshape the vaticination of insurance claims
Rachana Jaiswal, Shashank Gupta, Aviral Kumar Tiwari
Technological Forecasting and Social Change (2024) Vol. 209, pp. 123829-123829
Closed Access | Times Cited: 4
Advancing Zero-Inflated Tweedie Models and Evaluating Gradient Boosting Libraries for Auto Claims
Banghee So, Min Deng
North American Actuarial Journal (2025), pp. 1-18
Closed Access
Predictive Insights into Digital Competencies: A Data-Driven Approach to Inclusion
Milena Lazić, Vladimir Šimović, Ivana Domazet, et al.
Journal of Technology in Human Services (2025), pp. 1-28
Closed Access
Predictive Risk Assessment for Heavy-Duty Fleets: A Near-Miss Informed Approach
Ming Pu, Liang Yang, Yinzhi Wang
(2025)
Closed Access
Zero-inflated Tweedie boosted trees with CatBoost for Insurance loss analytics
Banghee So, Emiliano A. Valdez
Applied Soft Computing (2025), pp. 113226-113226
Closed Access
Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting
Carina Clemente, Gracinda R. Guerreiro, Jorge Miguel Bravo
Risks (2023) Vol. 11, Iss. 9, pp. 163-163
Open Access | Times Cited: 8
Inference for the Parameters of a Zero-Inflated Poisson Predictive Model
Min Deng, M. S. Aminzadeh, Banghee So
Risks (2024) Vol. 12, Iss. 7, pp. 104-104
Open Access | Times Cited: 2
Zero-Inflated Tweedie Boosted Trees with Catboost for Insurance Loss Analytics
Banghee So, Emiliano A. Valdez
(2024)
Open Access | Times Cited: 1
Bayesian CART models for insurance claims frequency
Yao‐Jun Zhang, Lanpeng Ji, Georgios Aivaliotis, et al.
Insurance Mathematics and Economics (2023) Vol. 114, pp. 108-131
Open Access | Times Cited: 3
A Note on Multi-Parametric Gradient Boosting Machines with Non-Life Insurance Applications
Łukasz Delong, Mathias Lindholm, Henning Zakrisson
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2
Exploring the Potential of Machine Learning Techniques for Predicting Travel Insurance Claims: A Comparative Analysis of Four Models
Xiaonan Li
Academic Journal of Computing & Information Science (2023) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Identifying the Optimal Machine Learning Model for Predicting Car Insurance Claims: A Comparative Study Utilising Advanced Techniques
Xiaonan Li
Academic Journal of Business & Management (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 2
A novel decision-making agent-based multi-objective automobile insurance pricing algorithm with insurers and customers satisfaction
Tao Ma, Liang Xie, Hong Zhao, et al.
Information Sciences (2024), pp. 121665-121665
Closed Access
Modeling mortality with Kernel Principal Component Analysis (KPCA) method
Yuanqi Wu, Andrew Y. Chen, Yanbin Xu, et al.
Annals of Actuarial Science (2024) Vol. 18, Iss. 3, pp. 626-643
Open Access
Machine Learning and Insurer Insolvency Prediction
Canchun He, Dejin Huang, Ruo Jia, et al.
(2023)
Closed Access
Gradient Boosting in Motor Insurance Claim Frequency Modelling
Carina Clemente, Gracinda R. Guerreiro, Jorge Miguel Bravo
Atas da Conferência da Associação Portuguesa de Sistemas de Informação (2023)
Open Access
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