Open Access Helper

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:

A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Zhang Tianyuan, Sérgio Moro, Ricardo F. Ramos
Future Internet (2022) Vol. 14, Iss. 3, pp. 94-94
Open Access | Times Cited: 47

Showing 1-25 of 47 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 churning analysis using machine learning algorithms
B. Prabadevi, R. Shalini, B. Kavitha
International Journal of Intelligent Networks (2023) Vol. 4, pp. 145-154
Open Access | Times Cited: 41
Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 38
Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models
Hoang Dang Tran, Ngoc Le, Van-Ho Nguyen
Interdisciplinary Journal of Information Knowledge and Management (2023) Vol. 18, pp. 087-105
Open Access | Times Cited: 27
A Model-Agnostic Interpretability Approach to Predicting Customer Churn in the Telecommunications Industry
Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi, et al.
Infolitika Journal of Data Science (2024) Vol. 2, Iss. 1, pp. 34-44
Open Access | Times Cited: 10
Machine Learning Models for Customer Segmentation in Telecom
Naveen Bagam
Journal of Sustainable Solutions. (2024) Vol. 1, Iss. 4, pp. 101-115
Open Access | Times Cited: 10
The impact of the COVID-19 pandemic on airlines’ passenger satisfaction
Francisco Costa Pereira, Joana Martinho Costa, Ricardo F. Ramos, et al.
Journal of Air Transport Management (2023) Vol. 112, pp. 102441-102441
Open Access | Times Cited: 19
DAO-LGBM: dual annealing optimization with light gradient boosting machine for advocates prediction in online customer engagement
Bilal Abu-Salih, Salihah Alotaibi, Ruba Abukhurma, et al.
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 5047-5073
Closed Access | Times Cited: 8
Optimising customer retention: An AI-driven personalised pricing approach
Yasin Ortakcı, Hüseyin Şeker
Computers & Industrial Engineering (2024) Vol. 188, pp. 109920-109920
Closed Access | Times Cited: 7
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
Intelligent Decision Forest Models for Customer Churn Prediction
Fatima E. Usman-Hamza, Abdullateef O. Balogun, Luiz Fernando Capretz, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8270-8270
Open Access | Times Cited: 20
Personalized marketing: Leveraging AI for culturally aware segmentation and targeting
Franciskus Antonius Alijoyo, Tariq Aziz, Nadir Omer, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 8-21
Closed Access
Mapping research in marketing: trends, influential papers and agenda for future research
Ricardo F. Ramos, Paulo Rita, Celeste Vong
Spanish Journal of Marketing - ESIC (2023) Vol. 28, Iss. 2, pp. 187-206
Open Access | Times Cited: 10
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
A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey
Annalisa Barsotti, G. Gianini, Corrado Mio, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 2
Customer Experience, Loyalty, and Churn in Bundled Telecommunications Services
Hugo Ribeiro, Belém Barbosa, António Carrizo Moreira, et al.
SAGE Open (2024) Vol. 14, Iss. 2
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
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
Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling
Insu Choi, Woosung Koh, Bonwoo Koo, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107378-107378
Closed Access | Times Cited: 4
Classification of Customer Churning based on OTT platform data.
Amiya Ranjan Panda, Manoj Kumar Mishra, Dvij Kalsi, et al.
(2024), pp. 673-678
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
Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction
Fatima E. Usman-Hamza, Abdullateef O. Balogun, Ramoni Tirimisiyu Amosa, et al.
Scientific African (2024) Vol. 24, pp. e02223-e02223
Open 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
Customer Churn Prediction in the Telecommunication Industry
Shaohua Wu
Advances in Economics Management and Political Sciences (2023) Vol. 4, Iss. 1, pp. 41-50
Closed Access | Times Cited: 3
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
Page 1 - Next Page

Scroll to top