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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:

Machine Learning to Develop Credit Card Customer Churn Prediction
Dana Al-Najjar, Nadia Al‐Rousan, Hazem Al‐Najjar
Journal of theoretical and applied electronic commerce research (2022) Vol. 17, Iss. 4, pp. 1529-1542
Open Access | Times Cited: 39

Showing 1-25 of 39 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: 15
Customer Churn Prediction using Machine Learning Models
Glory Sam, Philip Asuquo, Bliss Stephen
Journal of Engineering Research and Reports (2024) Vol. 26, Iss. 2, pp. 181-193
Open Access | Times Cited: 7
Leveraging metaheuristics with artificial intelligence for customer churn prediction in telecom industries
Ilyоs Abdullaev, Natalia Prodanova, Mohammed Altaf Ahmed, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 8, pp. 4443-4458
Open Access | Times Cited: 16
Opportunities and Challenges of Marketing 5.0
Ali Bakhshi Movahed, Aminmasoud Bakhshi Movahed, Hamed Nozari
Advances in marketing, customer relationship management, and e-services book series (2024), pp. 1-21
Closed Access | Times Cited: 6
Prediction of bank credit customers churn based on machine learning and interpretability analysis
Ying Li, Keyue Yan
Data Science in Finance and Economics (2025) Vol. 5, Iss. 1, pp. 19-35
Open Access
Artificial Intelligence Applications in Financial Technology
Albert Y. S. Lam
Journal of theoretical and applied electronic commerce research (2025) Vol. 20, Iss. 1, pp. 29-29
Open 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
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
Different ML-based strategies for customer churn prediction in banking sector
Nadia Siddiqui, Md. Asraful Haque, Samreen Khan, et al.
Journal of Data Information and Management (2024) Vol. 6, Iss. 3, pp. 217-234
Closed Access | Times Cited: 2
Predict customer churn using combination deep learning networks model
Van-Hieu Vu
Neural Computing and Applications (2023) Vol. 36, Iss. 9, pp. 4867-4883
Closed Access | Times Cited: 6
Tri-Strategy Remora Optimization Algorithm based Support Vector Machine for Customer Churn Prediction
Prakash Murugesan, Pragya Trivedi
(2024)
Closed Access | Times Cited: 1
Customer Churn Prediction and Personalised Recommendations in Banking
Prachi Pathak, Vaishnavi Chandgadkar, Aditya Solanki, et al.
(2024), pp. 409-421
Closed Access | Times Cited: 1
Efficacy of Customer Churn Prediction System
Ritik Raj, Siddhant Gupta, Ritik Mishra, et al.
(2024), pp. 546-553
Closed Access | Times Cited: 1
Bank Customer Churn Prediction based on Random Forest Algorithm
Nini Zhang, Y. H. Zheng, Chao Duan
(2024), pp. 1031-1035
Closed Access | Times Cited: 1
Developing a Sustainable Machine Learning Model to Predict Crop Yield in the Gulf Countries
Hamzeh F. Assous, Hazem Al‐Najjar, Nadia Al‐Rousan, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9392-9392
Open Access | Times Cited: 4
Machine Learning Predictive Models Analysis on Telecommunications Service Churn Rate
Teuku Alif Rafi Akbar, Catur Apriono
Green Intelligent Systems and Applications (2023) Vol. 3, Iss. 1, pp. 22-34
Open Access | Times Cited: 4
Machine Learning Based Improved Customer Churn Prediction Model for Telecommunications Industry
Atiqa Shahid, Majid Hussain, Amna Iqbal
(2023), pp. 147-153
Closed Access | Times Cited: 2
Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers
J. Gerald Manju, A. Dharini, B. Kiruthika, et al.
Lecture notes in networks and systems (2024), pp. 95-104
Closed Access
Churn Prediction Based on Customer Segmentation in Banking Industry using Machine Learning Techniques
Chatrasi Amar Lokesh Venkat Siva Sai, K. Sita Kumari, Batchu Anush Gupta
(2024) Vol. 2019, pp. 388-393
Closed Access
Improving the Efficiency of Smart Grid Scheduling: A Linear Regression Model with Meta Job Information
Hazem Al‐Najjar, Nadia Al‐Rousan
(2024), pp. 1-7
Closed Access
Data science methods for response, incremental response and rate sensitivity to response modelling in banking
Jorge M. Arevalillo
Expert Systems (2024) Vol. 41, Iss. 10
Closed Access
Evaluating Machine Learning Techniques for Predicting Customer Churn in E-Commerce: A Comparative Analysis
Layth Almahadeen
Journal of Logistics Informatics and Service Science (2024)
Open Access
Identification of an Efficient Machine Learning Algorithm for the Prediction of Customer Churn: A Case Analysis of a Business-to-Consumer (B2C) Dairy Company for Customer Retention Strategy
A. Mohammed Faisal, V. Rajkiran, K. Sankar Singh, et al.
(2024), pp. 1-5
Closed Access
To Design and Implement Application for Bank Customer Churning Rate Prediction and Analysis using Machine Learning Algorithm
Vikram Maskale, Vivekanand Vaidya, Yash Patil, et al.
(2024), pp. 1-4
Closed Access
A Novel Machine Learning-Based Early Warning Detection System for Business Customer Churn
Radha Raman Chandan, S Ramaraj, Sarishma, et al.
(2024), pp. 250-254
Closed Access
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