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:

Smart evaluation for deep learning model: churn prediction as a product case study
Esam Mohamed Elgohary, Mohamed Galal, Ahmed Mosa, et al.
Bulletin of Electrical Engineering and Informatics (2022) Vol. 12, Iss. 2, pp. 1219-1225
Open Access | Times Cited: 5

Showing 5 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

Customer Churn Prediction Using GraphSAGE Model with Degree Based Sampling and Max Pooling Aggregation
M. Anitha, K. K. Sherly
Algorithms for intelligent systems (2025), pp. 103-117
Closed Access

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

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 flexible framework for customer behavior prediction based on ensemble learning
Thi Minh Nguyen, T. Le, Thi-Hau Nguyen
(2023), pp. 126-134
Closed Access | Times Cited: 2

Churn Prediction Model Based on Logistic Regression in the Telecommunications Industry: Big Data Analysis
Famila Dwi Winati, Miftahol Arifin, Aiza Yudha Pratama, et al.
(2023), pp. 316-323
Closed Access

Page 1

Scroll to top