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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:

Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art
Matthias Bogaert, Lex Delaere
Mathematics (2023) Vol. 11, Iss. 5, pp. 1137-1137
Open Access | Times Cited: 26

Showing 1-25 of 26 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: 17
Customer emotion detection and analytics in hotel and tourism services using multi-label classificational models based on ensemble learning
Van-Ho Nguyen, Nghia T. Nguyen, Thuy-Hien Nguyen, et al.
Annals of Operations Research (2025)
Closed Access | Times Cited: 1
Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels
Mehdi Imani, Ali Beikmohammadi, Hamid R. Arabnia
Technologies (2025) Vol. 13, Iss. 3, pp. 88-88
Open Access | Times Cited: 1
A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing
Fatma M. Talaat, Abdussalam Aljadani, Bshair Alharthi, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 3930-3930
Open Access | Times Cited: 15
<span>Proactive CRM: Predicting Customer Behavior And Churn Using Machine Learning Models</span>
Shalmali Patil, A. Mohammad
SSRN Electronic Journal (2025)
Closed Access
Optimized churn prediction using ensemble-based feature selection via second-order cone programming
Batuhan Ulug, Süreyya Özöğür‐Akyüz
Annals of Operations Research (2025)
Closed Access
Churn prediction with GraphSAGE model based on the derived features using RFM and sentiment analysis
M. Anitha, K. K. Sherly
Journal of the Chinese Institute of Engineers (2025), pp. 1-13
Closed Access
Realistic Data Delays and Alternative Inactivity Definitions in Telecom Churn: Investigating Concept Drift Using a Sliding-Window Approach
Andrej Bugajev, Rima Kriauzienė, Viktoras Chadyšas
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1599-1599
Open Access
Mitigating class imbalance in churn prediction with ensemble methods and SMOTE
R. Suguna, J. Suriya Prakash, Aditya Pai H, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
Customer Churn Prediction for Telecommunication Companies using Machine Learning and Ensemble Methods
Muteb Alotaibi, Mohd Anul Haq
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 14572-14578
Open Access | Times Cited: 2
Customer Churn Prediction Using Hierarchical Clustering and Ensemble Learning
Konda Avinash, Varala Aditya Ram, Seguru Rithvik Reddy, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Application of a Data Mining Model to Predict Customer Defection. Case of a Telecommunications Company in Peru
Mirko Bruno Vela
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2023) Vol. 14, Iss. 1, pp. 144-158
Open Access | Times Cited: 3
Predicting customer churn using machine learning: A case study in the software industry
João Rolim Dias, Nuno António
Journal of Marketing Analytics (2023)
Closed Access | Times Cited: 3
Customer Churn Prediction Using Apriori Algorithm and Ensemble Learning
Diaa Azzam, Manar Hamed, Nora Kasiem, et al.
(2023), pp. 377-381
Closed Access | Times Cited: 2
A Smart Model to enhance Customer retention in E-commerce
Norihan N. Abdelgawad, Aya M. Mostafa
المجلة العلمية للبحوث والدراسات التجارية (2024) Vol. 38, Iss. 1, pp. 1501-1538
Open Access
A Two-Stage Ensemble Approach for Analysis of Optimizing Customer Churn with Lime Interpretability
Utkarsh Tiwari, Siddhant Ashwani, Aayushi Jeeban Tripathy, et al.
(2024), pp. 1540-1545
Closed Access
Customer Churn Prediction Using Machine Learning: A Case Study of Libyan Internet Service Provider Company
Shefaa A. Alteer, Alhaam Alariyibi
(2024), pp. 605-612
Closed Access
Metaheuristic-based ensemble learning: an extensive review of methods and applications
Sahar Saeed Rezk, Kamal Samy Selim
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 17931-17959
Open Access
Research on User Churn Prediction of Music Platform Based on Integrated Learning
Xiaoping Hu, Tian Zhang
(2024), pp. 267-271
Closed Access
Credit Card Users Churn Prediction Using Ensemble Techniques
Aishani Singh, Rashmi Vashisth, Nidhi Sindhwani, et al.
(2023), pp. 1283-1290
Closed Access | Times Cited: 1
Churn Prediction in Telecommunication Industry: A Comparative Analysis of Boosting Algorithms
Opara John Ogbonna, Gilbert I.O. Aimufua, Muhammad Umar Abdullahi, et al.
Dutse Journal of Pure and Applied Sciences (2024) Vol. 10, Iss. 1b, pp. 331-349
Open Access
Enhancing game customer churn prediction with a stacked ensemble learning model
Rui Guo, Wen Xiong, Yungang Zhang, et al.
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
A Multi-Classifier Ensemble Algorithm for Predicting Travelers Repurchases Based on Evidence Theory
Yanhong Chen Chenyanhong stu.hit.edu.cn, Luning Liu, zheng de quan
(2023)
Closed Access
Trends and Future Directions in Artificial Intelligence-based Customer Churn Prediction Technology
Youngjung Suh
Journal of Digital Contents Society (2023) Vol. 24, Iss. 7, pp. 1617-1627
Open Access
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