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:

COST-SENSITIVE MULTI-CLASS ADABOOST FOR UNDERSTANDING DRIVING BEHAVIOR BASED ON TELEMATICS
Banghee So, Jean‐Philippe Boucher, Emiliano A. Valdez
Astin Bulletin (2021) Vol. 51, Iss. 3, pp. 719-751
Closed Access | Times Cited: 20

Showing 20 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: 42

Model selection with Gini indices under auto-calibration
Mario V. Wüthrich
European Actuarial Journal (2023) Vol. 13, Iss. 1, pp. 469-477
Closed Access | Times Cited: 19

Development of Telematics Risk Scores in Accordance with Regulatory Compliance
Hashan Peiris, Himchan Jeong, Bin Zou
(2025)
Closed Access

What can we learn from telematics car driving data: A survey
Guangyuan Gao, Shengwang Meng, Mario V. Wüthrich
Insurance Mathematics and Economics (2022) Vol. 104, pp. 185-199
Open Access | Times Cited: 21

Auto Insurance Pricing Using Telematics Data: Application of a Hidden Markov Model
Qiao Jiang, Tianxiang Shi
North American Actuarial Journal (2024), pp. 1-18
Closed Access | Times Cited: 4

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

Enhancing claim classification with feature extraction from anomaly‐detection‐derived routine and peculiarity profiles
Francis Duval, Jean‐Philippe Boucher, Mathieu Pigeon
Journal of Risk & Insurance (2023) Vol. 90, Iss. 2, pp. 421-458
Open Access | Times Cited: 7

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

Weather Conditions and Telematics Panel Data in Monthly Motor Insurance Claim Frequency Models
J. Torra, Montserrat Guillén, Ana María Pérez Marín, et al.
Risks (2023) Vol. 11, Iss. 3, pp. 57-57
Open Access | Times Cited: 5

Microscopic traffic models, accidents, and insurance losses
So-Jung Kim, Marcel Kleiber, Stefan Weber
Astin Bulletin (2024), pp. 1-24
Open Access | Times Cited: 1

SAMME.C2 algorithm for imbalanced multi-class classification
Banghee So, Emiliano A. Valdez
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 9387-9404
Closed Access | Times Cited: 1

Identification of Potential Valid Clients for a Sustainable Insurance Policy Using an Advanced Mixed Classification Model
You‐Shyang Chen, Chien-Ku Lin, Yu‐Sheng Lin, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 3964-3964
Open Access | Times Cited: 6

Convolutional Neural Networks
Mario V. Wüthrich, Michael Merz
Springer Actuarial (2022), pp. 407-424
Open Access | Times Cited: 3

Automated Machine Learning in Insurance
Panyi Dong, Zhiyu Quan
Insurance Mathematics and Economics (2024) Vol. 120, pp. 17-41
Open 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

Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach
Allen R. Williams, Yoolim Jin, Anthony Duer, et al.
Risks (2022) Vol. 10, Iss. 6, pp. 118-118
Open Access | Times Cited: 2

Page 1

Scroll to top