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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:

Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms
Irina V. Pustokhina, Denis A. Pustokhin, Aswathy RH, et al.
Information Processing & Management (2021) Vol. 58, Iss. 6, pp. 102706-102706
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection
Punithavathi Rasappan, M. Premkumar, Garima Sinha, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103654-103654
Closed Access | Times Cited: 19
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
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction
Ibrahim Al-Shourbaji, Na Helian, Yi Sun, et al.
Mathematics (2022) Vol. 10, Iss. 7, pp. 1031-1031
Open Access | Times Cited: 52
The Business Intelligence impact on the financial performance of start-ups
Zhixiong Huang, Savita K. Sugathan, Jiang Zhong-jie
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102761-102761
Closed Access | Times Cited: 56
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
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
A bagging-based selective ensemble model for churn prediction on imbalanced data
Bing Zhu, Qian Cheng, Seppe vanden Broucke, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120223-120223
Closed Access | Times Cited: 12
Reveling the Interrelationship of Digital Transformation and Business Intelligence Techniques to Boost Human Capital Development
Osama Mousa Alawneh, Jawad Tawalbeh, Ahmed Nader AlOqaily
Economics (2025)
Open Access
Customer churn prediction for fixed wireless access: The case of a regional internet service provider
Kurt Pflughoeft, Nikolaus T. Butz, Alick Corbley
Telecommunications Policy (2025), pp. 102929-102929
Closed Access
Churn prediction with GraphSAGE model based on the derived features using RFM and sentiment analysis
M. Anitha, K. K. Sherly
Journal of the Chinese Institute of Engineers (2025), pp. 1-13
Closed Access
Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study
Nabahirwa Edwine, Wenjuan Wang, Wei Song, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 17
Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions
Seyed Mohammad Sina Mirabdolbaghi, Babak Amiri
Discrete Dynamics in Nature and Society (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 17
Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction
S. Arockia Panimalar, A. S. Krishnakumar
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107015-107015
Closed Access | Times Cited: 10
Predicting customer abandonment in recurrent neural networks using short-term memory
Saul Beltozar-Clemente, Orlando Iparraguirre-Villanueva, Félix Pucuhuayla-Revatta, et al.
Journal of Open Innovation Technology Market and Complexity (2024) Vol. 10, Iss. 1, pp. 100237-100237
Open Access | Times Cited: 3
Dynamic Behavior-Based Churn Forecasts in the Insurance Sector
Nagaraju Jajam, Nagendra Panini Challa
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 977-997
Open Access | Times Cited: 8
Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries
Hanan Abdullah Mengash, Nuha Alruwais, Fadoua Kouki, et al.
Biomimetics (2023) Vol. 9, Iss. 1, pp. 1-1
Open Access | Times Cited: 7
Building for tomorrow: Assessing the temporal persistence of text classifiers
Rabab Alkhalifa, Elena Kochkina, Arkaitz Zubiaga
Information Processing & Management (2022) Vol. 60, Iss. 2, pp. 103200-103200
Open Access | Times Cited: 11
To Predict Customer Sentimental behavior by using Enhanced Bi-LSTM Technique
M Sushmitha, K Suresh, Konduru Vandana
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2022), pp. 969-975
Closed Access | Times Cited: 10
Automated Artificial Intelligence Empowered White Blood Cells Classification燤odel
Bohari M. Yamin, Abdullah Basahel, Mona M. Abusurrah, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 409-425
Open Access | Times Cited: 4
Prediction of User Attrition in Telecommunication Using Neural Network
N. Mageshkumar, A. Vijayaraj, Subba Reddy Chavva, et al.
ICST Transactions on Scalable Information Systems (2024)
Open Access | Times Cited: 1
Using topological data analysis and machine learning to predict customer churn
Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
A BUSINESS INTELLIGENCE STRUCTURAL EQUATION MODEL ON MEASURING THE RELATIONSHIP BETWEEN CUSTOMER INTELLIGENCE, MARKETING INTELLIGENCE, AND EMPLOYEE INTELLIGENCE, AND ITS EFFECT ON OPERATIONAL PERFORMANCE OF ORGANISATION
N. Geetha, Gopal Krishna U M
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 1
Optimal Deep Canonically Correlated Autoencoder-Enabled Prediction Model for Customer Churn Prediction
Olfat M. Mirza, G. Jose Moses, R. Rajender, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 2, pp. 3757-3769
Open Access | Times Cited: 7
Data Analysis and Classification of the Complaint Case Type for Orange Jordan Telecom Company
Sadeen Al Tamimi, Raneem Qaddoura, Yara Alharahsheh, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Customer churn prediction from Internet banking transactions data using an ensemble meta-classifier algorithm
Fatemeh Ehsani
Research Square (Research Square) (2022)
Open Access | Times Cited: 5
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