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:

Deep Learning for Customer Churn Prediction in E-Commerce Decision Support
Maciej Pondel, Maciej Wuczyński, Wiesława Gryncewicz, et al.
Business Information Systems (2021), pp. 3-12
Open Access | Times Cited: 24

Showing 24 citing articles:

Deciphering Digital Social Dynamics: A Comparative Study of Logistic Regression and Random Forest in Predicting E-Commerce Customer Behavior
Po Abas Sunarya, Untung Rahardja, Shih‐Chih Chen, et al.
Journal of Applied Data Sciences (2024) Vol. 5, Iss. 1, pp. 100-113
Open Access | Times Cited: 18
A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research
Xue Zhang, Fusen Guo, Tao Chen, et al.
Journal of theoretical and applied electronic commerce research (2023) Vol. 18, Iss. 4, pp. 2188-2216
Open Access | Times Cited: 34
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
Sentiment Analysis and Consumer Purchase Intention Prediction Based on BERT and DBLSTM
Changzheng Yang, Mengmeng Guo, Muhammad Asif
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-22
Open Access
Stage by stage E- Ecommerce market database analysis by using machine learning models
Narendra Ryali, Nikita Manne, Arun Ravisankar, et al.
EAI Endorsed Transactions on Internet of Things (2024) Vol. 10
Open Access | Times Cited: 2
Neural Network Based a Comparative Analysis for Customer Churn Prediction
Anıl Utku, M. Ali Akçayol
Muş Alparslan Üniversitesi Fen Bilimleri Dergisi (2024) Vol. 12, Iss. 1, pp. 39-50
Open Access | Times Cited: 1
Machine learning in the enrolment management process: a case study of using GANs in postgraduate students' structure prediction
Bartłomiej Nita, Krzysztof Nowosielski, Zdzisław Kes, et al.
Procedia Computer Science (2022) Vol. 207, pp. 1350-1359
Open Access | Times Cited: 7
Design of Prediction Model using Data Mining for Segmentation and Classification Customer Churn in E-Commerce Mall in Mall
Ilham Huda, Agus Achmad Suhendra, Moch Arif Bijaksana
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2280-2280
Open Access | Times Cited: 3
Customer Churn Prediction by Classification Models in Machine Learning
Heng Zhao, Xumin Zuo, Yuanyuan Xie
(2022) Vol. 19, pp. 399-407
Closed Access | Times Cited: 4
Churn Prediction Model Using EDA
Shivani Sharma, Bipin Kumar, Girisha Narula, et al.
Lecture notes in electrical engineering (2024), pp. 601-614
Closed Access
Predicting Customer Churn in Subscription-Based Enterprises Using Machine Learning
B. Mahesh, B. Jagadeesh, A. Gowtham, et al.
Algorithms for intelligent systems (2024), pp. 365-377
Closed Access
A Smart Model to enhance Customer retention in E-commerce
Norihan N. Abdelgawad, Aya M. Mostafa
المجلة العلمية للبحوث والدراسات التجارية (2024) Vol. 38, Iss. 1, pp. 1501-1538
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
Comparative Analysis of Predictive Models for Customer Churn Prediction in the Telecommunication Industry
D. Francis Xavier Christopher, Garima Anand
(2024), pp. 534-539
Closed Access
Prediction of Customer Purchases Using LSTM Deep Neural Network
Krzysztof Lutosławski, Marcin Hernes, Artur Rot, et al.
Lecture notes in networks and systems (2024), pp. 166-181
Closed Access
Predicting Turnover Tendency of Candidates/Employees Based on Personality Assessment Tests: A Data-Driven Approach
Berkay Topçu, Mukaddes Altuntaş, Dilruba Topçuoğlu, et al.
Lecture notes in business information processing (2024), pp. 59-74
Closed Access
Design of E-commerce Customer Churn Prediction System Based on Data Mining Techniques
Jie Yang
(2023), pp. 114-118
Closed Access | Times Cited: 1
Customer Churn Prediction Using Machine Learning: A Case Study of E-commerce Data
Jingyuan Li
International Journal of Computer Applications (2024) Vol. 186, Iss. 48, pp. 22-25
Open Access
Application of Classification Methods in Forecasting broadband internet subscribers leaving the network on Broadband Internet Subscribers Leaving the Network
Van-Dung Hoang
International Journal of Machine Learning (2023) Vol. 13, Iss. 1
Open Access
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
Direction of the Difference Between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction
Paul J. Darwen
Lecture notes in computer science (2023), pp. 210-223
Closed Access
Design of Prediction Model using Data Mining for Segmentation and Classification Customer Churn in E-Commerce Mall in Mall
Ilham Huda, Agus Achmad Suhendra, Moch Arif Bijaksana
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2280-2280
Open Access
Modeling Customer Churn Behavior in E-commerce Using Bayesian Networks
Beyza Tuba Ulas, Simay Imer, Tolga Ahmet Kalaycı, et al.
Lecture notes in management and industrial engineering (2022), pp. 283-300
Closed Access
Predicting Order Cancellations for E-Commerce Domain: A Proposed Model Based on Retailing Experience
Kevser ŞAHİNBAŞ
İnsan ve Toplum Bilimleri Araştırmaları Dergisi (2022) Vol. 11, Iss. 3, pp. 1493-1514
Open Access
Page 1

Scroll to top