Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Credit Card Fraud Detection - Machine Learning methods
Dejan Varmedja, Mirjana Karanovic, Srdjan Sladojević, et al.
(2019), pp. 1-5
Closed Access | Times Cited: 215

Showing 1-25 of 215 citing articles:

A machine learning based credit card fraud detection using the GA algorithm for feature selection
Emmanuel Ileberi, Yanxia Sun, Zenghui Wang
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 183
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
Fawaz Khaled Alarfaj, Iqra Malik, Hikmat Ullah Khan, et al.
IEEE Access (2022) Vol. 10, pp. 39700-39715
Open Access | Times Cited: 174
Enhanced Credit Card Fraud Detection Model Using Machine Learning
Noor Saleh Alfaiz, Suliman Mohamed Fati
Electronics (2022) Vol. 11, Iss. 4, pp. 662-662
Open Access | Times Cited: 112
Review of Machine Learning Approach on Credit Card Fraud Detection
Rejwan Bin Sulaiman, Vitaly Schetinin, Paul Sant
Human-Centric Intelligent Systems (2022) Vol. 2, Iss. 1-2, pp. 55-68
Open Access | Times Cited: 92
Credit Card Fraud Detection for Contemporary Financial Management Using XGBoost-Driven Machine Learning and Data Augmentation Techniques
Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Aga Maulana, et al.
Indatu Journal of Management and Accounting (2023) Vol. 1, Iss. 1, pp. 29-35
Open Access | Times Cited: 43
Hyperparameter Tuning of Random Forest using Social Group Optimization Algorithm for Credit Card Fraud Detection in Banking Data
Sudhirvarma Sagiraju, Jnyana Ranjan Mohanty, Anima Naik
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 4
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
LoRAS: an oversampling approach for imbalanced datasets
Saptarshi Bej, Narek Davtyan, Markus Wolfien, et al.
Machine Learning (2020) Vol. 110, Iss. 2, pp. 279-301
Open Access | Times Cited: 112
Financial Fraud Detection in Healthcare Using Machine Learning and Deep Learning Techniques
Abolfazl Mehbodniya, Izhar Alam, Sagar Dhanraj Pande, et al.
Security and Communication Networks (2021) Vol. 2021, pp. 1-8
Open Access | Times Cited: 65
Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata
Matheus Kempa Severino, Yaohao Peng
Machine Learning with Applications (2021) Vol. 5, pp. 100074-100074
Open Access | Times Cited: 55
Fraud Feature Boosting Mechanism and Spiral Oversampling Balancing Technique for Credit Card Fraud Detection
Lina Ni, Jufeng Li, Huixin Xu, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1615-1630
Closed Access | Times Cited: 29
Fraud Detection in Healthcare Insurance Claims Using Machine Learning
Eman Nabrawi, Abdullah Alanazi
Risks (2023) Vol. 11, Iss. 9, pp. 160-160
Open Access | Times Cited: 22
Enhancing the Random Forest Model via Synthetic Minority Oversampling Technique for Credit-Card Fraud Detection
Fidelis Obukohwo Aghware, Arnold Adimabua Ojugo, Wilfred Adigwe, et al.
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 4, pp. 407-420
Open Access | Times Cited: 12
Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
Yaswitha Gujju, Atsushi Matsuo, Rudy Raymond
Physical Review Applied (2024) Vol. 21, Iss. 6
Open Access | Times Cited: 12
Hybrid Neural Network Methods for the Detection of Credit Card Fraud
Mahmoud Ahmad Al‐Khasawneh, Muhammad Faheem, Deema Mohammed Alsekait, et al.
Security and Privacy (2025) Vol. 8, Iss. 1
Closed Access | Times Cited: 1
A Comparison Study of Fraud Detection in Usage of Credit Cards using Machine Learning
P. Yogendra Prasad, A Sreni Chowdary, Cherapalli Bavitha, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023), pp. 1204-1209
Closed Access | Times Cited: 18
DaBO-BoostE: Enhanced Data Balancing via Oversampling Technique for a Boosting Ensemble in Card-Fraud Detection
Emakpor Augustine Otorokpo, Margaret Dumebi Okpor, Rume Elizabeth Yoro, et al.
Advances in Multidisciplinary & Scientific Research Journal Publication (2024) Vol. 12, pp. 45-66
Open Access | Times Cited: 6
Explainable Machine Learning for Fraud Detection
Ismini Psychoula, Andreas Gutmann, Pradip Mainali, et al.
Computer (2021) Vol. 54, Iss. 10, pp. 49-59
Open Access | Times Cited: 38
Survey of Credit Card Anomaly and Fraud Detection Using Sampling Techniques
Maram Alamri, Mourad Ykhlef
Electronics (2022) Vol. 11, Iss. 23, pp. 4003-4003
Open Access | Times Cited: 25
UNMASKING FRAUDSTERS: Ensemble Features Selection to Enhance Random Forest Fraud Detection
Maureen Ifeanyi Akazue, Irene Alamarefa Debekeme, Abel Efe Edje, et al.
Journal of Computing Theories and Applications (2023) Vol. 1, Iss. 2, pp. 201-211
Open Access | Times Cited: 15
An Improved CCF Detector to Handle the Problem of Class Imbalance with Outlier Normalization Using IQR Method
Amerah Alabrah
Sensors (2023) Vol. 23, Iss. 9, pp. 4406-4406
Open Access | Times Cited: 13
A Novel Framework for Credit Card Fraud Detection
Ayoub Mniai, Mouna Tarik, Khalid Jebari
IEEE Access (2023) Vol. 11, pp. 112776-112786
Open Access | Times Cited: 13
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: 5
Fraud Transaction Detection For Anti-Money Laundering Systems Based On Deep Learning
Jorge Félix Martínez Pazos, Jorge Gulı́n González, David Batard Lorenzo, et al.
Journal of Emerging Computer Technologies (2024) Vol. 3, Iss. 1, pp. 29-34
Open Access | Times Cited: 4
Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data
S. M. Nuruzzaman Nobel, Shirin Sultana, Sondip Poul Singha, et al.
Information (2024) Vol. 15, Iss. 6, pp. 298-298
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top