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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:

Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
Yvan Lucas, Pierre-Édouard Portier, Léa Laporte, et al.
Future Generation Computer Systems (2019) Vol. 102, pp. 393-402
Open Access | Times Cited: 118

Showing 1-25 of 118 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
Credit card fraud detection in the era of disruptive technologies: A systematic review
Asma Cherif, Arwa Badhib, Heyfa Ammar, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 35, Iss. 1, pp. 145-174
Open Access | Times Cited: 88
A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network
Jiaming Liu, Sicheng Zhang, Haoyue Fan
Expert Systems with Applications (2022) Vol. 195, pp. 116624-116624
Closed Access | Times Cited: 75
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
Abed Mutemi, Fernando Bação
Big Data Mining and Analytics (2024) Vol. 7, Iss. 2, pp. 419-444
Open Access | Times Cited: 18
An intelligent payment card fraud detection system
Manjeevan Seera, Chee Peng Lim, Ajay Kumar, et al.
Annals of Operations Research (2021) Vol. 334, Iss. 1-3, pp. 445-467
Open Access | Times Cited: 86
Follow the Trail: Machine Learning for Fraud Detection in Fintech Applications
Branka Stojanović, Josip Božić, Katharina Hofer-Schmitz, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1594-1594
Open Access | Times Cited: 63
A Novel text2IMG Mechanism of Credit Card Fraud Detection: A Deep Learning Approach
Abdullah Alharbi, Majid Alshammari, Ofonime Dominic Okon, et al.
Electronics (2022) Vol. 11, Iss. 5, pp. 756-756
Open Access | Times Cited: 54
Learning Transactional Behavioral Representations for Credit Card Fraud Detection
Yu Xie, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5735-5748
Open Access | Times Cited: 47
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
Smart credit card fraud detection system based on dilated convolutional neural network with sampling technique
J. Karthika, A. Senthilselvi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 20, pp. 31691-31708
Closed Access | Times Cited: 23
Machine learning through the lens of e-commerce initiatives: An up-to-date systematic literature review
Lucas Micol Policarpo, Diórgenes Eugênio da Silveira, Rodrigo da Rosa Righi, et al.
Computer Science Review (2021) Vol. 41, pp. 100414-100414
Closed Access | Times Cited: 53
Interpretable data science for decision making
Kristof Coussement, Dries F. Benoit
Decision Support Systems (2021) Vol. 150, pp. 113664-113664
Closed Access | Times Cited: 43
Performance analysis of metaheuristics based hyperparameters optimization for fraud transactions detection
Mohammed Tayebi, Said El Kafhali
Evolutionary Intelligence (2022) Vol. 17, Iss. 2, pp. 921-939
Closed Access | Times Cited: 28
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
Credit card fraud detection using ensemble data mining methods
Saeid Bakhtiari, Zahra Nasiri, Javad Vahidi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 19, pp. 29057-29075
Closed Access | Times Cited: 18
Fraudulent Financial Transactions Detection Using Machine Learning
Rabah Abdaljawad, Tareq Obaid, Samy S. Abu-Naser
(2023), pp. 1-9
Open Access | Times Cited: 16
An interpretable automated feature engineering framework for improving logistic regression
Mucan Liu, Chonghui Guo, Liangchen Xu
Applied Soft Computing (2024) Vol. 153, pp. 111269-111269
Closed Access | Times Cited: 6
Detection of Fraudulent Transactions in Credit Card using Machine Learning Algorithms
Praveen Kumar Sadineni
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2020), pp. 659-660
Closed Access | Times Cited: 45
Credit Card Fraud Transaction Classification Using Improved Class Balancing and Support Vector Machines
Pradeep Verma, Poornima Tyagi
Lecture notes in electrical engineering (2022), pp. 477-488
Closed Access | Times Cited: 23
Exploring Cutting-Edge Algorithms in FinTech: Leveraging Machine Learning and Artificial Intelligence for Achieving Sustainability
Maha Shehadeh
Emerald Publishing Limited eBooks (2025), pp. 225-244
Closed Access
A Novel Approach based on XGBoost Classifier and Bayesian Optimization for Credit Card Fraud Detection
Mohammed Tayebi, Said El Kafhali
Cyber Security and Applications (2025), pp. 100093-100093
Open Access
A Heterogeneous Ensemble Learning Model Based on Data Distribution for Credit Card Fraud Detection
Yalong Xie, Aiping Li, Liqun Gao, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 28
Developing a Credit Card Fraud Detection Model using Machine Learning Approaches
Shahnawaz Khan, Abdullah Alourani, Bharavi Mishra, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 3
Open Access | Times Cited: 21
WMTDBC: An unsupervised multivariate analysis model for fraud detection in health insurance claims
Lavanya Settipalli, G. R. Gangadharan
Expert Systems with Applications (2022) Vol. 215, pp. 119259-119259
Closed Access | Times Cited: 21
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