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:

Random forest for credit card fraud detection
Shiyang Xuan, Guanjun Liu, Zhenchuan Li, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 293

Showing 1-25 of 293 citing articles:

Credit Card Fraud Detection using Machine Learning Algorithms
Vaishnavi Nath Dornadula, S. Geetha
Procedia Computer Science (2019) Vol. 165, pp. 631-641
Open Access | Times Cited: 249
Enhanced credit card fraud detection based on SVM-recursive feature elimination and hyper-parameters optimization
Naoufal Rtayli, Nourddine Enneya
Journal of Information Security and Applications (2020) Vol. 55, pp. 102596-102596
Closed Access | Times Cited: 160
Comparison and analysis of logistic regression, Naïve Bayes and KNN machine learning algorithms for credit card fraud detection
Fayaz Itoo, Meenakshi Meenakshi, Satwinder Singh
International Journal of Information Technology (2020) Vol. 13, Iss. 4, pp. 1503-1511
Closed Access | Times Cited: 155
Ensemble of deep sequential models for credit card fraud detection
Javad Forough, Saeedeh Momtazi
Applied Soft Computing (2020) Vol. 99, pp. 106883-106883
Closed Access | Times Cited: 140
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
A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions
Jonathan Kwaku Afriyie, Kassim Tawiah, Wilhemina Adoma Pels, et al.
Decision Analytics Journal (2023) Vol. 6, pp. 100163-100163
Open Access | Times Cited: 81
A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism
Tehreem Ashfaq, Rabiya Khalid, Adamu Sani Yahaya, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7162-7162
Open Access | Times Cited: 78
Federated learning model for credit card fraud detection with data balancing techniques
Mustafa Abdul Salam, Khaled M. Fouad, Doaa L. El-Bably, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 6231-6256
Open Access | Times Cited: 18
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
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: 3
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
Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison
Samidha Khatri, Aishwarya Arora, Arun Prakash Agrawal
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2020), pp. 680-683
Closed Access | Times Cited: 122
Deep Representation Learning With Full Center Loss for Credit Card Fraud Detection
Zhenchuan Li, Guanjun Liu, Changjun Jiang
IEEE Transactions on Computational Social Systems (2020) Vol. 7, Iss. 2, pp. 569-579
Closed Access | Times Cited: 97
Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression
Ameer Hussein, Rihab Salah Khairy, Shaima Miqdad Mohamed Najeeb, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2021) Vol. 15, Iss. 05, pp. 24-24
Open Access | Times Cited: 91
Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection
Sangeeta Mittal, Shivani Tyagi
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2019), pp. 320-324
Closed Access | Times Cited: 86
Using Variational Auto Encoding in Credit Card Fraud Detection
Tingfei Huang, Guangquan Cheng, Kuihua Huang
IEEE Access (2020) Vol. 8, pp. 149841-149853
Open Access | Times Cited: 78
Improved TrAdaBoost and its Application to Transaction Fraud Detection
Lutao Zheng, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Computational Social Systems (2020) Vol. 7, Iss. 5, pp. 1304-1316
Closed Access | Times Cited: 78
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
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
Time-Aware Attention-Based Gated Network for Credit Card Fraud Detection by Extracting Transactional Behaviors
Yu Xie, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 3, pp. 1004-1016
Closed Access | Times Cited: 59
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
Detection of Fake Job Postings by Utilizing Machine Learning and Natural Language Processing Approaches
A. Amaar, Wajdi Aljedaani, Furqan Rustam, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 3, pp. 2219-2247
Closed Access | Times Cited: 39
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
Artificial Intelligence in Accounting and Finance: Challenges and Opportunities
Ziwei Yi, Xinwei Cao, Zuyan Chen, et al.
IEEE Access (2023) Vol. 11, pp. 129100-129123
Open Access | Times Cited: 26
Page 1 - Next Page

Scroll to top