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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:

Predicting Credit Card Transaction Fraud Using Machine Learning Algorithms
Jiaxin Gao, Zirui Zhou, Jiangshan Ai, et al.
Journal of Intelligent Learning Systems and Applications (2019) Vol. 11, Iss. 03, pp. 33-63
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

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: 77
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
Time series forecasting and anomaly detection using deep learning
Amjad Iqbal, Rashid Amin
Computers & Chemical Engineering (2023) Vol. 182, pp. 108560-108560
Closed Access | Times Cited: 17
A Time-Frequency Based Suspicious Activity Detection for Anti-Money Laundering
Utku Görkem Ketenci, Tolga Kurt, Selim Önal, et al.
IEEE Access (2021) Vol. 9, pp. 59957-59967
Open Access | Times Cited: 19
Relative Analysis of ML Algorithm QDA, LR and SVM for Credit Card Fraud Detection Dataset
P Naveen, B. Diwan
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2020), pp. 976-981
Closed Access | Times Cited: 19
A Comparative Analysis of Credit Card Fraud Detection with Machine Learning Algorithms and Convolutional Neural Network
E. Ajitha, Sweta Sneha, Shanmitha Makesh, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-8
Closed Access | Times Cited: 5
Fraud Detection using Recurrent Neural Networks for Digital Wallet Security
Can İşcan, Fatma Patlar Akbulut
2021 6th International Conference on Computer Science and Engineering (UBMK) (2023), pp. 538-542
Closed Access | Times Cited: 4
Analysis of the benefits of artificial intelligence and human personality study on online fraud detection
Kapil Bansal, Aseem Chandra Paliwal, Arun K. Singh
International Journal of Law and Management (2024)
Closed Access | Times Cited: 1
Anomaly Detection in Credit Card Transaction using Deep Learning Techniques
Gayatri Ketepalli, Srinivas Tata, Shaik Vaheed, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2022)
Closed Access | Times Cited: 6
Credit Card Fraud Detection Using XGBoost Algorithm
Ahmed Qasim Abdulghani, Osman Nuri Uçan, Khattab M. Ali Alheeti
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2021) Vol. 5, pp. 487-492
Closed Access | Times Cited: 7
Adversarial Fraud Generation for Improved Detection
Anubha Pandey, Alekhya Bhatraju, Shiv Markam, et al.
(2022), pp. 123-129
Closed Access | Times Cited: 3
Waste Management System Fraud Detection Using Machine Learning Algorithms to Minimize Penalties Avoidance and Redemption Abuse
Ali Hewiagh, Kannan Ramakrishnan, Timothy Tzen Vun Yap, et al.
Recycling (2021) Vol. 6, Iss. 4, pp. 65-65
Open Access | Times Cited: 4
Credit Card Fraud Detection Using Predictive Model
Jiayin Zhang
BCP Business & Management (2023) Vol. 38, pp. 2820-2826
Open Access | Times Cited: 1
Fraud Detection in Mobile Banking Based on Artificial Intelligence
Derrick Bwalya, Jackson Phiri
Lecture notes in networks and systems (2023), pp. 537-554
Closed Access | Times Cited: 1
Suspicious Activity Monitoring System using Machine Learning
D. Prem Raja, P Sheelambigai, Sruthi Meera P, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 1-5
Closed Access | Times Cited: 1
Credit Card Fraud Detection System using Machine Learning Algorithms and Fuzzy Membership
Ahmed Qasim Abdulghani, Osman Nuri Uçan, Khattab M. Ali Alheeti
(2021) Vol. 10, pp. 1-6
Closed Access | Times Cited: 2
Credit Card Fraudulent Transactions Prediction Using Novel Sequential Transactions by Comparing Light Gradient Booster Algorithm Over Isolation Forest Algorithm
P. Raghavendra Reddy, A. Kumar
2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM) (2022), pp. 563-567
Closed Access | Times Cited: 1
Accurate Credit Card Fraudulent Dataset using Logistics Regression Compared with Random Forest
K.Vijaya Kanaka Mahalaxmi, K. Sashi Rekha
2022 International Conference on Business Analytics for Technology and Security (ICBATS) (2022), pp. 1-5
Closed Access | Times Cited: 1
Model Explainability in Physiological and Healthcare-based Neural Networks
Bo Li, Rohit Sharma, Abhinav Gupta
Authorea (Authorea) (2023)
Open Access
Deep Neural Networks system for Automatic Emotion Recognition
Huanqi Zhu, Guoying Wang, Jonathan Cambria, et al.
(2023)
Open Access
Deep Neural Networks system for Automatic Emotion Recognition
Huanqi Zhu, Guoying Wang, Jonathan Cambria, et al.
(2023)
Open Access
Peer Review #2 of "A systematic review of literature on credit card cyber fraud detection using machine and deep learning (v0.2)"
Eyad Marazqah, Btoush Corresp, Xujuan Zhou, et al.
(2023)
Open Access
Peer Review #1 of "A systematic review of literature on credit card cyber fraud detection using machine and deep learning (v0.1)"
Eyad Marazqah, Btoush Corresp, Xujuan Zhou, et al.
(2023)
Open Access
Peer Review #4 of "A systematic review of literature on credit card cyber fraud detection using machine and deep learning (v0.2)"
Eyad Marazqah, Btoush Corresp, Xujuan Zhou, et al.
(2023)
Open Access
Peer Review #1 of "A systematic review of literature on credit card cyber fraud detection using machine and deep learning (v0.2)"
Eyad Marazqah, Btoush Corresp, Xujuan Zhou, et al.
(2023)
Open Access
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