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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:

Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms
Sulaiman Olaniyi Abdulsalam, Micheal Olaolu Arowolo, Yakub Kayode Saheed, et al.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2022) Vol. 10, Iss. 2
Open Access | Times Cited: 14

Showing 14 citing articles:

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
Awais Manzoor, M. Atif Qureshi, Etain Kidney, et al.
IEEE Access (2024) Vol. 12, pp. 70434-70463
Closed Access | Times Cited: 18
Clustering Comparison of Customer Attrition Dataset using Machine Learning Algorithms
R. Anitha, Aameer Khan S, Harini Murugan, et al.
(2025), pp. 3432-3436
Closed Access
Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries
Hanan Abdullah Mengash, Nuha Alruwais, Fadoua Kouki, et al.
Biomimetics (2023) Vol. 9, Iss. 1, pp. 1-1
Open Access | Times Cited: 8
Empirical analysis of tree-based classification models for customer churn prediction
Fatima E. Usman-Hamza, Abdullateef O. Balogun, Salahdeen K. Nasiru, et al.
Scientific African (2023) Vol. 23, pp. e02054-e02054
Open Access | Times Cited: 8
Mathematical Modelling and Deep Learning: Innovations in E-Commerce Sentiment Analysis
Et al. Ashish Suresh Awate
Deleted Journal (2024) Vol. 27, Iss. 1, pp. 52-81
Open Access | Times Cited: 2
New Artificial intelligence approaches for brand switching decisions
Burak Erkayman, Ebru Erdem, Tolga Aydın, et al.
Alexandria Engineering Journal (2022) Vol. 63, pp. 625-643
Open Access | Times Cited: 7
A flexible framework for customer behavior prediction based on ensemble learning
Thi Minh Nguyen, T. Le, Thi-Hau Nguyen
(2023), pp. 126-134
Closed Access | Times Cited: 2
The Comparison of Random Forest and Artificial Neural Network for Customer Churn Prediction in Telecommunication
Aldandi Fitra Ramadhan, Syarifah Diana Permai, Jeklin Harefa, et al.
(2023), pp. 224-229
Closed Access | Times Cited: 1
Understanding Telecommunication Customer Churn: Insights from Lightgbm Predictive Modelling and Shap Feature Interpretation
Ruben Sinaga, Sunu Widianto
SSRN Electronic Journal (2024)
Closed Access
Auto Insurance Fraud Detection using Machine learning Contrasting US and Moroccan Companies
Sidi Aly Mouna, Kissani Ilham
(2024)
Open Access
Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature
David Freire, David Mauricio, José L. Castillo, et al.
IEEE Access (2024) Vol. 12, pp. 118968-118980
Open Access
Enhancing Customer Churn Prediction in Telecommunication with CNN-Gradient Boosting Machine
SLS Raajavinayaga Subaash, Divya Nimma, B Kiran Bala, et al.
(2024), pp. 1-6
Closed Access
Forecasting Carbon Dioxide Emission in Thailand Using Machine Learning Techniques
Siriporn Chimphlee, Witcha Chimphlee
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2023) Vol. 11, Iss. 3
Open Access
Churn Prediction Model Based on Logistic Regression in the Telecommunications Industry: Big Data Analysis
Famila Dwi Winati, Miftahol Arifin, Aiza Yudha Pratama, et al.
(2023), pp. 316-323
Closed Access
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