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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:

Enhancing Financial Fraud Detection through Addressing Class Imbalance Using Hybrid SMOTE-GAN Techniques
Patience Chew Yee Cheah, Yue Yang, Boon Giin Lee
International Journal of Financial Studies (2023) Vol. 11, Iss. 3, pp. 110-110
Open Access | Times Cited: 11

Showing 11 citing articles:

SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models
Gulam Mohammed Husain, Daniel Nasef, Rejath Jose, et al.
Algorithms (2025) Vol. 18, Iss. 1, pp. 37-37
Open Access | Times Cited: 2
Online Payment Fraud Detection Model Using Machine Learning Techniques
Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2023) Vol. 11, pp. 137188-137203
Open Access | Times Cited: 21
Financial Anti-Fraud Based on Dual-Channel Graph Attention Network
Sizheng Wei, Suan Lee
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 1, pp. 297-314
Open Access | Times Cited: 13
A comprehensive study on the interplay between dataset characteristics and oversampling methods
Yue Yang, Tian Fang, Jinyang Hu, et al.
Journal of the Operational Research Society (2025), pp. 1-22
Closed Access
Artificial Intelligence Applications in Financial Technology
Albert Y. S. Lam
Journal of theoretical and applied electronic commerce research (2025) Vol. 20, Iss. 1, pp. 29-29
Open Access
Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms
Ruixing Ming, Osama Abdelrahman, Nisreen Innab, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2088-e2088
Open Access | Times Cited: 2
Machine Learning Approaches for Credit Card Fraud Detection: A Comparative Analysis and the Promise of 1D Convolutional Neural Networks
Balachandar Paulraj
(2024), pp. 82-92
Closed Access | Times Cited: 1
A synergistic fusion of shallow and deep generative model to enhance machine learning efficacy and classification performance in data-scarce environments
Khursheed Ahmad Bhat, Shabir Ahmad Sofi
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1
From shallows to depths: unveiling hybrid synthetic data modeling for enhanced learning with privacy considerations in naturally imbalanced datasets
K. A. Bhat, Shabir Ahmad Sofi
International Journal of Computers and Applications (2024), pp. 1-16
Closed Access
Developing Predictive Models for Detecting Financial Statement Fraud: A Machine Learning Approach
Muhammed Zakir Hossain, Mamunur R. Raja, Latul Hasan
European Journal of Theoretical and Applied Sciences (2024) Vol. 2, Iss. 6, pp. 271-290
Closed Access
Auditoría forense: riesgo de auditoría, fraude y materialidad
Vicente René Encalada Encarnación
Suma de Negocios (2023) Vol. 14, Iss. 31, pp. 122-135
Open Access | Times Cited: 1
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