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:

RFM model customer segmentation based on hierarchical approach using FCA
Chongkolnee Rungruang, Pakwan Riyapan, Arthit Intarasit, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121449-121449
Closed Access | Times Cited: 21

Showing 21 citing articles:

Concept-cognitive learning survey: Mining and fusing knowledge from data
Doudou Guo, Weihua Xu, Weiping Ding, et al.
Information Fusion (2024) Vol. 109, pp. 102426-102426
Closed Access | Times Cited: 25

A simheuristic approach towards supply chain scheduling: Integrating production, maintenance and distribution
Rahmat Rabet, Maliheh Ganji, Masood Fathi
Applied Soft Computing (2024) Vol. 153, pp. 111264-111264
Closed Access | Times Cited: 12

From Data to Decisions: The Power of Machine Learning in Business Recommendations
Kapilya Gangadharan, Anoop Purandaran, Malathi Kanagasabai, et al.
IEEE Access (2025) Vol. 13, pp. 17354-17397
Open Access | Times Cited: 1

Hybrid black-box classification for customer churn prediction with segmented interpretability analysis
Arno De Caigny, Koen W. De Bock, Sam Verboven
Decision Support Systems (2024) Vol. 181, pp. 114217-114217
Closed Access | Times Cited: 5

Customer Segmentation Using Hierarchical Clustering
Areeba Afzal, Laiba Khan, Muhammad Zunnurain Hussain, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 5

Surprisingly Popular-based Multivariate Conceptual Knowledge Acquisition Method
Xianwei Xin, Shiting Yuan, Tao Li, et al.
International Journal of Approximate Reasoning (2025), pp. 109419-109419
Closed Access

A Hybrid Approach to Dynamic Thread Allocation Driven by Workload and Task Prioritization
K. Abirami, N. Harini
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access

Time analysis of online consumer behavior by decision trees, GUHA association rules, and formal concept analysis
Tomáš Pitka, Józef Bućko, Stanislav Krajči, et al.
Journal of Marketing Analytics (2024)
Open Access | Times Cited: 1

Customer Segmentation Through RFM Analysis and K-Means Clustering: Leveraging Data-Driven Insights for Effective Marketing Strategy
Akande Noah Oluwatobi, Emmanuel Oluwatobi Asani, Bestman Tobechukwu Dautare
Ceddi Journal of Information System and Technology (JST) (2024) Vol. 3, Iss. 1, pp. 14-25
Open Access | Times Cited: 1

Do Loyal Customers Buy Differently? Examining Customers’ Loyalty in a Self-Service Setting
Mihai Țichindelean, Claudia Ogrean, Mihaela Herciu
Studies in Business and Economics (2024) Vol. 19, Iss. 1, pp. 350-367
Closed Access | Times Cited: 1

Revisiting data reduction for boolean matrix factorization algorithms based on formal concept analysis
Lanzhen Yang, Eric C.C. Tsang, Hua Mao, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access

Customer Segmentation through RFM Analysis and K-means Clustering: Leveraging Data-Driven Insights for Effective Marketing Strategy
Akande Noah Oluwatobi, Hakeem Babalola Akande, Emmanuel Oluwatobi Asani, et al.
(2024), pp. 1-8
Closed Access

Millets Industry Dynamics: Leveraging Sales Projection and Customer Segmentation
K. P. Suhaas, B. Deepa, D. Shashank, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access

RFMI-based Customer Segmentation with K-means
Wensheng Gan, Pinlyu Zhou, Shenghua Wan, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8286-8295
Closed Access

Enhancing Pattern Classification Accuracy Through Customer Segmentation-Using Machine Learning Algorithms
Raghavendra Mokashi, Vijayalakshmi A. Lepakshi
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access

Page 1

Scroll to top