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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:

An Autoencoder Based Model for Detecting Fraudulent Credit Card Transaction
Sumit Misra, Soumyadeep Thakur, Manosij Ghosh, et al.
Procedia Computer Science (2020) Vol. 167, pp. 254-262
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
Waleed Hilal, S. Andrew Gadsden, John Yawney
Expert Systems with Applications (2021) Vol. 193, pp. 116429-116429
Open Access | Times Cited: 260
Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework
Petr Hájek, Mohammad Zoynul Abedin, Uthayasankar Sivarajah
Information Systems Frontiers (2022) Vol. 25, Iss. 5, pp. 1985-2003
Open Access | Times Cited: 78
A systematic review of AI-enhanced techniques in credit card fraud detection
Ibrahim Y. Hafez, Alaaeldin M. Hafez, Ahmed M. Shamsan Saleh, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 2
Fraud detection and prevention in e-commerce: A systematic literature review
Vinicius Facco Rodrigues, Lucas Micol Policarpo, Diórgenes Eugênio da Silveira, et al.
Electronic Commerce Research and Applications (2022) Vol. 56, pp. 101207-101207
Closed Access | Times Cited: 43
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
Eyad Btoush, Xujuan Zhou, Raj Gururajan, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1278-e1278
Open Access | Times Cited: 27
Credit card fraud detection using the brown bear optimization algorithm
Shaymaa E. Sorour, Khalied M. Albarrak, Amr A. Abohany, et al.
Alexandria Engineering Journal (2024) Vol. 104, pp. 171-192
Closed Access | Times Cited: 10
DEAL – ‘Deep Ensemble ALgorithm’ Framework for Credit Card Fraud Detection in Real-Time Data Stream with Google TensorFlow
Monika Arya, Hanumat Sastry G
Smart Science (2020) Vol. 8, Iss. 2, pp. 71-83
Closed Access | Times Cited: 43
CCFD: Efficient Credit Card Fraud Detection Using Meta-Heuristic Techniques and Machine Learning Algorithms
Diana T. Mosa, Shaymaa E. Sorour, Amr A. Abohany, et al.
Mathematics (2024) Vol. 12, Iss. 14, pp. 2250-2250
Open Access | Times Cited: 5
The Potential of Energy-Based RBM and xLSTM for Real-Time Predictive Analytics in Credit Card Fraud Detection
Peyman Baghdadi, Serdar Korukoğlu, Mehmet Ali Bilici, et al.
Journal of Data Analysis and Information Processing (2025) Vol. 13, Iss. 01, pp. 79-100
Open Access
Predicting Fraud in Financial Payment Services through Optimized Hyper-Parameter-Tuned XGBoost Model
Surjeet Dalal, Bijeta Seth, Magdalena Rădulescu, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4679-4679
Open Access | Times Cited: 21
Deep Autoencoder Neural Networks: A Comprehensive Review and New Perspectives
Ibomoiye Domor Mienye, Theo G. Swart
Archives of Computational Methods in Engineering (2025)
Open Access
Financial Transactional Fraud Detection using a Hybrid BiLSTM with Attention-Based Autoencoder
K Sudharson, S Varsha, S. Rajalakshmi, et al.
International Research Journal of Multidisciplinary Technovation (2025), pp. 135-147
Open Access
Credit Card Fraud Detection using Machine and Deep Learning Techniques
Shagun Sharma, Anjali Kataria, Jasminder Kaur Sandhu, et al.
2022 3rd International Conference for Emerging Technology (INCET) (2022), pp. 1-7
Closed Access | Times Cited: 18
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
Literature review: Anomaly detection approaches on digital business financial systems
Sarah Oliveira Pinto, Vinícius Amorim Sobreiro
Digital Business (2022) Vol. 2, Iss. 2, pp. 100038-100038
Open Access | Times Cited: 14
Privacy Intrusiveness in Financial-Banking Fraud Detection
Larisa Găbudeanu, Iulia Brici, Codruța Mare, et al.
Risks (2021) Vol. 9, Iss. 6, pp. 104-104
Open Access | Times Cited: 18
Event log anomaly detection method based on auto-encoder and control flow
Daoyu Kan, Xianwen Fang
Multimedia Systems (2024) Vol. 30, Iss. 1
Closed Access | Times Cited: 2
Detection of Denial-of-Service Attacks in Software-Defined Networking Based on Traffic Classification using Deep learning
M.H. Samadzadeh, Najmeh Farajipour Ghohroud
(2024), pp. 305-310
Closed Access | Times Cited: 2
Artificial Intelligence Driven Approaches for Financial Fraud Detection: A Systematic Literature Review
Indrawati Yuhertiana, Ahsanul Hadi Amin
KnE Social Sciences (2024)
Open 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
Approaches to Fraud Detection on Credit Card Transactions using Artificial Intelligence Methods
Yusuf Yazıcı
(2020), pp. 235-244
Open Access | Times Cited: 17
Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing
Penglin Dai, Jingtao Luo, Kangli Zhao, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 19, pp. 14259-14274
Closed Access | Times Cited: 5
A Model to Detect the Fraud of Electronic Payment Card Transactions Based on Stream Processing in Big Data
Hamid Banirostam, Touraj Banirostam, Mir Mohsen Pedram, et al.
Journal of Signal Processing Systems (2023) Vol. 95, Iss. 12, pp. 1469-1484
Closed Access | Times Cited: 5
An artificial intelligence-enabled industry classification and its interpretation
Daejin Kim, Hyoung‐Goo Kang, Kyounghun Bae, et al.
Internet Research (2021) Vol. 32, Iss. 2, pp. 406-424
Closed Access | Times Cited: 11
A Comprehensive Fraud Detection for Credit Card Transactions in Federated Averaging
Tran Khanh Dang, Trung Ha
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
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