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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:

Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning
Wee How Khoh, Ying Han Pang, Ooi Shih Yin, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8631-8631
Open Access | Times Cited: 13

Showing 13 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: 16
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges
Shailesh Tripathi, Nadine Bachmann, Manuel Brunner, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 14
A framework to improve churn prediction performance in retail banking
João B. G. Brito, Guilherme Brandelli Bucco, Rodrigo Heldt, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 9
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
Business Intelligence and Artificial Intelligence for Sustainable Development: Integrating Internet of Things, Machine Learning, and Big Data Analytics for Enhanced Sustainability
Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Implementing machine learning techniques for customer retention and churn prediction in telecommunications
Ibrahim Adedeji Adeniran, Christianah Pelumi Efunniyi, Olajide Soji Osundare, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 8, pp. 2011-2025
Open Access | Times Cited: 1
Privacy-Preserving Based Technique for Customer Churn Prediction in Telecom Industry
Gul Zaman Khan, Ikram Ulhaq, Ihsan Adil, et al.
VFAST Transactions on Software Engineering (2023) Vol. 11, Iss. 3, pp. 73-80
Open Access | Times Cited: 3
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
Predicting churn with filter-based techniques and deep learning
Vivian Quek Jia Yi, Ying Han Pang, Lim Zheng You, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 2135-2135
Open Access
Customer Churn Prediction in the Telecom Sector with Machine Learning and Adaptive k-Means Cluster using Imbalance Data
N. L. Aravinda, R Archana Reddy, Bala Dhandayuthapani, et al.
(2024), pp. 1-5
Closed Access
Ensemble prediction of RRC session duration in real-world NR/LTE networks
Roopesh Kumar Polaganga, Qilian Liang
Machine Learning with Applications (2024) Vol. 17, pp. 100564-100564
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
On the numerical minimisation of the objective function applied to spherical harmonics fitting
Mateusz Czyrzniak, Jacek Rapiński
Diagnostyka (2023) Vol. 24, Iss. 3, pp. 1-6
Open Access
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