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:

Exploratory analysis of credit card fraud detection using machine learning techniques
M J Madhurya, H L Gururaj, B C Soundarya, et al.
Global Transitions Proceedings (2022) Vol. 3, Iss. 1, pp. 31-37
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Theo G. Swart
Technologies (2024) Vol. 12, Iss. 10, pp. 186-186
Open Access | Times Cited: 7

Optimizing Hyperparameters for Credit Card Fraud Detection with Nature-Inspired Metaheuristic Algorithms in Machine Learning
Shiva Shankar Reddy, K. Amrutha, V Mnssvkr Gupta, et al.
Journal of The Institution of Engineers (India) Series B (2025)
Closed Access

Revolutionizing Risk Management AI and ML Innovations in Financial Stability and Fraud Detection
Yavuz Selim Balcıoğlu
Advances in finance, accounting, and economics book series (2024), pp. 109-138
Closed Access | Times Cited: 2

Financial fraud detection through the application of machine learning techniques: a literature review
Ludivia Hernández Aros, Luisa Ximena Bustamante Molano, Fernando Gutiérrez-Portela, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Detection of fraud in IoT based credit card collected dataset using machine learning
Mohammed Naif Alatawi
Machine Learning with Applications (2024) Vol. 19, pp. 100603-100603
Open Access | Times Cited: 2

Frauds in Banking System: Frauds with Cards and Their Associated Services
Daniela-Georgeta Beju, Codruța-Maria Făt
Contributions to finance and accounting (2023), pp. 31-52
Closed Access | Times Cited: 4

Deteksi Transaksi <i>Fraud </i>Kartu Kredit Menggunakan <i>Oversampling </i>ADASYN<i> </i>dan Seleksi Fitur SVM-RFECV
I Wayan Dharmana, I Gede Aris Gunadi, Luh Joni Erawati Dewi
Jurnal Teknologi Informasi dan Ilmu Komputer (2024) Vol. 11, Iss. 1, pp. 125-134
Open Access | Times Cited: 1

Enhancing Credit Card Fraud Detection with Light Gradient-Boosting Machine: An Advanced Machine Learning Approach
S Sruthi, Siddharth Emadaboina, C. Jyotsna
(2024), pp. 1-6
Closed Access | Times Cited: 1

Catalyzing Financial Risk Control Excellence
Yunan Song, Xuewei An, Wenkai Zhang, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-29
Open Access | Times Cited: 1

Hybrid Feature Engineering Based on Customer Spending Behavior for Credit Card Anomaly and Fraud Detection
Maram Alamri, Mourad Ykhlef
Electronics (2024) Vol. 13, Iss. 20, pp. 3978-3978
Open Access | Times Cited: 1

Towards the Improvement of Credit Card Approval Process Using Classification Algorithm
Eunice Cristyl D. Del Pilar, Miriam F. Bongo
2022 7th International Conference on Business and Industrial Research (ICBIR) (2023), pp. 461-465
Closed Access | Times Cited: 3

Identification of Security Issues and Finding their Solution in Cloud Computing
Himanshu Kalra Himanshu Kalra
International Journal on Recent and Innovation Trends in Computing and Communication (2024) Vol. 12, Iss. 1, pp. 179-191
Open Access

Credit Card Fraud Detection Based on Machine Learning Classification Algorithm
Bareq Mardan Naman, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access

An Overview of Clustering Algorithms for Credit Card Fraud Detection
N.R Solomon Jebaraj, Jyoti Shekhawat, Rupal Gupta
(2024), pp. 1-6
Closed Access

Detection of Malicious Activity on Credit Cards Using Machine Learning
Rayudu Satwika, Bhabendu Kumar Mohanta, Gurpreet Singh Chahbra, et al.
Communications in computer and information science (2024), pp. 74-86
Closed Access

Development of Novel Framework for Identifying Anomalies in High Volume of Data Using Robust Machine Learning Algorithm
Santosh Kumar Nanda, Nayan Jyoti Borah
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access

Digital banking fortification: a real-time isolation forest architecture for detecting online transaction fraud
H. A. Abbassi, Saida El Mendili, Youssef Gahi
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025214-025214
Open Access

Credit Card Fraud Detection with XAI: Improving Interpretability and Trust
Bohdan Vihurskyi
(2024) Vol. 2, pp. 1-6
Closed Access

THE IMPACT OF COVID‐19 ON THE TECHNOLOGY SECTOR: THE CASE OF THE TURKISH CONSULTANCY COMPANY
Eda Gözütok, İlayda Ülkü
Mühendis ve Makina (2024)
Closed Access

An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection
Basava Ramanjaneyulu Gudivaka, Muntather Almusawi, M S Priyanka, et al.
(2024), pp. 1-4
Closed Access

Credit Card Fraud Detection System using Machine Learning
Saurav Naik, Aarth Dahale
(2024) Vol. 1, Iss. 2, pp. 19-23
Open Access

Design Framework for Online Payment Transaction Fraud Detection
Vipin Khattri, Sandeep Kumar Nayak, Deepak Kumar Singh, et al.
(2024), pp. 53-69
Closed Access

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