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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:

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction
Hiren Kumar Thakkar, Ankit Desai, Subrata Ghosh, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 25

Showing 25 citing articles:

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: 41
Two-stage imbalanced learning-based quality prediction method for wheel hub assembly
Tianyue Wang, Tao Peng, Bingtao Hu, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102309-102309
Closed Access | Times Cited: 11
E-Commerce Churn Prediction for Analyzing Customer Behavior Based on Machine Learning
Sameh Zarif, M.I. Sobhy, Marian Wagdy
Lecture notes on data engineering and communications technologies (2025), pp. 194-202
Closed Access
Performance analysis of ResNet 50 for accurate prediction and classification of customer churn compared over convolution neural network
K. Fazulu, E. K. Subramanian
AIP conference proceedings (2025) Vol. 3252, pp. 020048-020048
Closed Access
Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction
Chandra Lukita
Journal of Applied Data Sciences (2023) Vol. 4, Iss. 4, pp. 454-465
Open Access | Times Cited: 10
Comparing cost sensitive classifiers by the false-positive to false- negative ratio in diagnostic studies
A. Kumaravel, Tintu Vijayan
Expert Systems with Applications (2023) Vol. 227, pp. 120303-120303
Closed Access | Times Cited: 8
Analysis Implementation of the Ensemble Algorithm in Predicting Customer Churn in Telco Data: A Comparative Study
Renny Puspita Sari, Ferdy Febriyanto, Ahmad Cahyono Adi
Informatica (2023) Vol. 47, Iss. 7
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
Arithmetic Optimization with Deep Learning Enabled Churn Prediction Model for Telecommunication Industries
Vani Haridasan, Kavitha Muthukumaran, K. Hariharanath
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3531-3544
Open Access | Times Cited: 9
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
Examining different cost ratio frameworks for decision rule machine learning algorithms in diagnostic application
Sivachandar Kasiviswanathan, V. Thulasi Bai
Technology and Health Care (2024) Vol. 32, Iss. 4, pp. 2733-2753
Closed Access | Times Cited: 1
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 model: a case of the telecommunication market
Yana Fareniuk, Tetiana Zatonatska, Oleksandr Dluhopolskyi, et al.
Economics (2022) Vol. 10, Iss. 2, pp. 109-130
Open Access | Times Cited: 6
Churn Rate Modeling for Telecommunication Operators Using Data Science Methods
Tetiana Zatonatska, Yana Fareniuk, Viktor Shpyrko
Marketing and Management of Innovations (2023) Vol. 14, Iss. 2, pp. 163-173
Open Access | Times Cited: 3
Predicting Customer Churn on OTT Platforms
Manish Mohan, Anil Jadhav
Journal of information and organizational sciences (2022) Vol. 46, Iss. 2, pp. 433-451
Open Access | Times Cited: 5
A Research on the Impact of Big Data Analytics on the Telecommunications Sector
Ashok Kumar, Nancy Arya, Pramod Kumar Sharma
Lecture notes in networks and systems (2023), pp. 121-128
Closed Access | Times Cited: 2
Model Building and Heuristic Evaluation of Various Machine Learning Classifiers
Y. Jahnavi, V. R. Balasaraswathi, P. Nagendra Kumar
Algorithms for intelligent systems (2023), pp. 387-397
Closed Access | Times Cited: 2
The causes of bank customer churn based on XGBoost and LightGBMmodels: the evidence from the Kaggle dataset
Jiayi Cai
Finance & Economics (2024) Vol. 1, Iss. 4
Open Access
Customer data prediction and analysis in e-commerce using machine learning
Md Abdullah Al Rahib, Nirjhor Saha, Raju Mia, et al.
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 4, pp. 2624-2633
Open Access
Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles
Jim Ahlstrand, Martin Boldt, Anton Borg, et al.
Linköping electronic conference proceedings (2023) Vol. 199, pp. 68-76
Open Access | Times Cited: 1
Feature reduction of unbalanced data classification based on density clustering
Zhenfei Wang, Pei-Yao Yuan, Zhong-Ya Cao, et al.
Computing (2023)
Closed Access | Times Cited: 1
Statistical Evaluation of Classification Models for Various Data Repositories
V. Lokeswara Reddy, B. Yamini, P. Nagendra Kumar, et al.
Smart innovation, systems and technologies (2023), pp. 551-559
Closed Access | Times Cited: 1
Customer Churn Prevention For E-commerce Platforms using Machine Learning-based Business Intelligence
Pundru Chandra Shaker Reddy, Yadala Sucharitha, A. Vivekanand
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) (2023) Vol. 17, Iss. 5, pp. 456-465
Closed Access
A Customer Churn Prediction Using CSL-Based Analysis for ML Algorithms: The Case of Telecom Sector
Kampa Lavanya, Juluru Jahnavi Sai Aasritha, Mohan Krishna Garnepudi, et al.
Lecture notes in networks and systems (2023), pp. 789-804
Closed Access
Graph-based Knowledge Modeling and Analytics for Capturing and Predicting Customer Behaviour
H. Y. Zahran
(2022)
Open Access
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