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:

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets
F. Hussain, S. Neelakandan, B. T. Geetha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 33

Showing 1-25 of 33 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: 15

Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images
M. Prakash, V E Sathishkumar, S. Neelakandan, et al.
Electronics (2022) Vol. 11, Iss. 24, pp. 4178-4178
Open Access | Times Cited: 47

AI-Based Customer Churn Prediction Model for Business Markets in the USA: Exploring the Use of AI and Machine Learning Technologies in Preventing Customer Churn
Nisha Gurung, MD Rokibul Hasan, Md Sumon Gazi, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 2, pp. 19-29
Open Access | Times Cited: 6

Robust Facial Expression Recognition Using an Evolutionary Algorithm with a Deep Learning Model
A. V. R. Mayuri, Ranjith Kumar Manoharan, S. Neelakandan, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 468-468
Open Access | Times Cited: 24

A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis
S. Neelakandan, V E Sathishkumar, M. Prakash, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 6-6
Open Access | Times Cited: 15

Unleashing the Potentials of Artificial Intelligence for Micro, Small, and Medium Enterprises: A Systematic Literature Review
Muhammad Raihan Satrio Putra Pamungkas, Angellina Asyivadibrata, Tasya Susilawati, et al.
Jurnal Teknologi Dan Sistem Informasi Bisnis (2023) Vol. 5, Iss. 3, pp. 303-310
Open Access | Times Cited: 8

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

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: 6

Tri-Strategy Remora Optimization Algorithm based Support Vector Machine for Customer Churn Prediction
Prakash Murugesan, Pragya Trivedi
(2024)
Closed Access | Times Cited: 1

Personalization and Customer Relationship Management (CRM) in AI-Powered Business Intelligence
Abhishek Basak, Mousami Sanyal, Shirin Siraji, et al.
Advances in business information systems and analytics book series (2024), pp. 117-158
Closed Access | Times Cited: 1

AI and Machine Learning Applications to Enhance Customer Support
Md Shamim Hossain, Md. Mahafuzur Rahman, Abu Eyaz Abresham, et al.
Advances in business information systems and analytics book series (2023), pp. 300-324
Closed Access | Times Cited: 4

Deep Belief Network-Based User and Entity Behavior Analytics (UEBA) for Web Applications
S. Deepa, A. Umamageswari, S. Neelakandan, et al.
International Journal of Cooperative Information Systems (2023) Vol. 33, Iss. 02
Closed Access | Times Cited: 4

Machine Learning Based Improved Customer Churn Prediction Model for Telecommunications Industry
Atiqa Shahid, Majid Hussain, Amna Iqbal
(2023), pp. 147-153
Closed Access | Times Cited: 2

Identifying Customer Churn Patterns Using Machine Learning Predictive Analysis
Suchita Sharma, Nishith Desai
(2023), pp. 1-6
Closed Access | Times Cited: 2

Churn Prediction Based on Customer Segmentation in Banking Industry using Machine Learning Techniques
Chatrasi Amar Lokesh Venkat Siva Sai, K. Sita Kumari, Batchu Anush Gupta
(2024) Vol. 2019, pp. 388-393
Closed Access

Telecommunication Customer Churn with Responsible AI: A Predictive Model Debugging and Business Decision Making
Nasirudeen Raheem, Sunday Adeola Ajagbe, Oluwaseyi F. Afe, et al.
Contributions to management science (2024), pp. 335-347
Closed Access

Artificial intelligence an essential factor for the benefit of companies: systematic review of the literature
Marco Antonio Díaz Martínez, Reina Verónica Román Salinas, Santos Ruíz-Hernández, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access

Intelligent Framework for Detection of Telecom-Customer Churn Using Machine Learning Approach
Neha Janu, Pankaj Dadheech, Krishna Kant, et al.
Lecture notes in networks and systems (2024), pp. 493-502
Closed Access

Machine Learning Approaches for Bank Customer Churn Analysis
Yasemin Bozkurt Varolgüneş, Hasan Temurtaş, Çiğdem Bakır
The Eurasia Proceedings of Science Technology Engineering and Mathematics (2024) Vol. 32, pp. 208-229
Open Access

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