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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:

Improving Classification Performance in Credit Card Fraud Detection by Using New Data Augmentation
Emilija Strelcenia, Simant Prakoonwit
AI (2023) Vol. 4, Iss. 1, pp. 172-198
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique
Amal Al Ali, Ahmed M. Khedr, Magdi El‐Bannany, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2272-2272
Open Access | Times Cited: 22
An online fuzzy fraud detection framework for credit card transactions
Georgios Charizanos, Haydar Demirhan, Duygu İçen
Expert Systems with Applications (2024) Vol. 252, pp. 124127-124127
Open Access | Times Cited: 10
A Comparative Analysis of Machine Learning Algorithms for Credit Card Fraud Detection
Anshul Raturi, Maahi Pal, H.K. Narang, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 5
Toward Efficient Credit Card Fraud Detection: Leveraging Quantum Neural Networks and Modified Feature Selection Techniques
N. Deepa, R. Jayaraj, M Suguna, et al.
Journal of Machine and Computing (2025), pp. 321-330
Closed Access
A Hybrid Sampling Approach for Improving the Classification of Imbalanced Data Using ROS and NCL Methods
Usman Ependi, Adian Fatchur Rochim, Adi Wibowo
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 3, pp. 345-361
Open Access | Times Cited: 14
Credit Card Fraud Detection Using Improved Deep Learning Models
Sumaya S. Sulaiman, Ibraheem Nadher Ibraheem, Sarab M. Hameed
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 1, pp. 1049-1069
Open Access | Times Cited: 4
A novel method for detecting credit card fraud problems
H. F. Du, Li Lv, Hongliang Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294537-e0294537
Open Access | Times Cited: 4
SynDEc: A Synthetic Data Ecosystem
Fabian Karst, Mahei Manhai Li, Jan Marco Leimeister
Electronic Markets (2025) Vol. 35, Iss. 1
Open Access
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component
Zheng Cai, Hui Fang, Jianhua Liu, et al.
Artificial Intelligence in Medicine (2025) Vol. 162, pp. 103087-103087
Closed Access
A Sophisticated Iterative Weighted Feature Selection (IWFS) Based Spiking Imperialist Competitive Recurrent Neural Network (SICRNN) Classification Model for Credit Card Fraud Detection
S. Sobana, V. Diana Earshia, R. Suganthi, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2025)
Closed Access
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
Detection of Leaf Diseases in Banana Crops Using Deep Learning Techniques
N. Jiménez, Stefany Orellana, Bertha Mazón-Olivo, et al.
AI (2025) Vol. 6, Iss. 3, pp. 61-61
Open Access
Generative Modeling for Imbalanced Credit Card Fraud Transaction Detection
Mohammed Tayebi, Said El Kafhali
Journal of Cybersecurity and Privacy (2025) Vol. 5, Iss. 1, pp. 9-9
Open Access
Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion
H. A. Abbassi, Saida El Mendili, Youssef Gahi
HighTech and Innovation Journal (2024) Vol. 5, Iss. 1, pp. 185-199
Open Access | Times Cited: 3
On the Quality of Synthetic Generated Tabular Data
Erica Espinosa, Álvaro Figueira
Mathematics (2023) Vol. 11, Iss. 15, pp. 3278-3278
Open Access | Times Cited: 8
Sustainable Financial Fraud Detection Using Garra Rufa Fish Optimization Algorithm with Ensemble Deep Learning
Mashael Maashi, Bayan Alabduallah, Fadoua Kouki
Sustainability (2023) Vol. 15, Iss. 18, pp. 13301-13301
Open Access | Times Cited: 7
Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation
Mohammad Usef Khosravi Khaliran, Iman Zabbah, Mehrbod Faraji, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105940-105940
Closed Access | Times Cited: 2
A Comprehensive Machine Learning Framework for Anomaly Detection in Credit Card Transactions
Fathe Jeribi
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 2
A Novel Semi-Supervised Learning for Industrial Edge Computing Platforms in Quality Prediction
Garima Nain, K. K. Pattanaik, Gopal Krishan Sharma
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
Technology-Driven Financial Risk Management: Exploring the Benefits of Machine Learning for Non-Profit Organizations
Hao Huang
Systems (2024) Vol. 12, Iss. 10, pp. 416-416
Open Access | Times Cited: 1
Generative Adversarial Networks-Based Novel Approach for Fraud Detection for the European Cardholders 2013 Dataset
Fahdah Almarshad, Ghada Abdalaziz Gashgari, Abdullah I. A. Alzahrani
IEEE Access (2023) Vol. 11, pp. 107348-107368
Open Access | Times Cited: 4
Analysis and Performance Evaluation of Credit Card Fraud by Multi-model ML
Md. Aminul Islam, A. T. M. Asif Imran, Md Habibur Rahman, et al.
(2024), pp. 1-7
Closed Access
Combining Supervised and Unsupervised Machine Learning Methods for Improving Credit Card Fraud Detection
Rabab Cherkaoui, El Mokhtar En-Naimi, Mohamed Kouissi
(2024), pp. 1-5
Closed Access
GANS-based data augmentation in credit card fraud detection
Qing Zhao
(2024)
Closed Access
Enhancing Fraud Detection in Finance Through AI and Machine Learning
Shweta Dewangan, Sanjeev Kumar
Advances in finance, accounting, and economics book series (2024), pp. 267-282
Closed Access
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