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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:

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

Showing 1-25 of 45 citing articles:

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
The Evaluation of Fraud Detection Attacks and User’s Behavior Using Machine Learning Techniques
Raad Sadoon Mustafa, Wisam Dawood Abdullah, Ahmad Ghandour
Lecture notes in networks and systems (2025), pp. 383-408
Closed Access
Analyzing the Impact of Machine Learning Algorithms on Risk Management and Fraud Detection in Financial Institution
Deepak Kumar, Shoumya Singh
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 5, pp. 1797-1804
Open Access | Times Cited: 4
FRAUD DETECTION AUTOMATION THROUGH DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE
Wishmy Meinawa Ikhsan, Elzami Haqie Ednoer, Winanda Setyaning Kridantika, et al.
Riset (2022) Vol. 4, Iss. 2, pp. 103-119
Open Access | Times Cited: 16
Enhancing Cyber Threat Detection with an Improved Artificial Neural Network Model
Toluwase Sunday Oyinloye, Micheal Olaolu Arowolo, Rajesh S. Prasad
Data Science and Management (2024)
Open Access | Times Cited: 2
The Use of Artificial Intelligence in Anti-Money Laundering (AML)
M. Sundar Raj, Hadiya Khan, Samta Kathuria, et al.
(2024), pp. 272-277
Closed Access | Times Cited: 2
Comparative Assessment of Fraudulent Financial Transactions using the Machine Learning Algorithms Decision Tree, Logistic Regression, Naïve Bayes, K-Nearest Neighbor, and Random Forest
Paiboon Manorom, Umawadee Detthamrong, Wirapong Chansanam
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15676-15680
Open Access | Times Cited: 2
Detection of fraud in IoT based credit card collected dataset using machine learning
Mohammed Naif Alatawi
Machine Learning with Applications (2024) Vol. 19, pp. 100603-100603
Open Access | Times Cited: 2
Credit Card Fraud Detection using Machine Learning and Data Mining Techniques - a Literature Survey
Devicharan Rai M., S. N. Jagadeesha
International Journal of Applied Engineering and Management Letters (2023), pp. 16-35
Open Access | Times Cited: 5
Efficient loss updated XGBoost with deep emended genetic algorithm for detecting online fraudulent transactions
R. Lingeswari, S. Brindha
Multimedia Tools and Applications (2024) Vol. 83, Iss. 37, pp. 84471-84494
Closed Access | Times Cited: 1
Credit Card Fraud Detection based on Random Forest Model
Sorin-Ionuț Mihali, Ștefania-Loredana Niță
(2024), pp. 111-114
Closed Access | Times Cited: 1
Integrating Machine Learning for Sustaining Cybersecurity in Digital Banks
Muath Asmar, Alia Tuqan
Heliyon (2024), pp. e37571-e37571
Open Access | Times Cited: 1
Data Mining Classification and analytical model of prediction for Job Placements using Fuzzy Logic
S. Venkatachalam
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2021) Vol. 1, pp. 765-770
Closed Access | Times Cited: 7
Credit Card Fraud Detection Using Machine Learning Techniques
Nermin Samy, Shimaa mohamed mohamed
Future Computing and Informatics Journal (2022) Vol. 7, Iss. 1, pp. 13-31
Open Access | Times Cited: 5
Epileptic Seizure: Classification Using Autoregression Features
T. Rajendran, K. P. Sridhar, P Vidhupriya, et al.
International Journal of Current Research and Review (2021) Vol. 13, Iss. 04, pp. 123-131
Open Access | Times Cited: 6
Conspiracy Spoofing Orders Detection with Transformer-Based Deep Graph Learning
Le Kang, Tai‐Jiang Mu, Xiaodong Ning
Lecture notes in computer science (2023), pp. 489-503
Closed Access | Times Cited: 2
Credit Card Fraud Detection and Analysis
Rohan Pawar, Hardik Kathuria, Praveen Joe I R
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 2
Credit Card Fraud Detection Using CNN
Yogamahalakshmi Murugan, M. Vijayalakshmi, Lavanya Selvaraj, et al.
Lecture notes in networks and systems (2022), pp. 194-204
Closed Access | Times Cited: 3
Hyper-Tuned Ensemble Machine Learning Model for Credit Card Fraud Detection
Bholeshwar Prasad Verma, Vijayant Verma, Abhishek Badholia
2022 International Conference on Inventive Computation Technologies (ICICT) (2022), pp. 320-327
Closed Access | Times Cited: 3
WITHDRAWN: Cluster based data-aggregation using lightweight cryptographic algortihm for wireless sensor networks
R. Kowsalya, B. Roseline Jeetha
Materials Today Proceedings (2021)
Closed Access | Times Cited: 4
An Algorithmic Approach to Machine Learning Techniques for Fraud detection: A Comparative Analysis
Dipra Mitra, Shikha Gupta, Pavandeep Kaur
(2021), pp. 1-4
Closed Access | Times Cited: 4
Accuracy analysis for K-closest neighbor and XGBoost methodology to identify frauds in cash transaction
G. Manoj Kumar, M. Nalini
AIP conference proceedings (2024) Vol. 2729, pp. 060014-060014
Open Access
Improving credit card fraud detection using machine learning and GAN technology
Najwan Thair Ali, Shahad Jasim Hasan, Ahmad Ghandour, et al.
BIO Web of Conferences (2024) Vol. 97, pp. 00076-00076
Open Access
An innovative performance analysis for banking transaction using support vector machine algorithm and compare with convolutional neural network
G. Havishya, S. Vidhya Lakshmi, B. Aishwarya
AIP conference proceedings (2024) Vol. 3097, pp. 020123-020123
Closed Access
Unemployment Insurance Fraud in the Debit Card Market
Umang Khetan, Jetson Leder-Luis, Jialan Wang, et al.
(2024)
Open Access
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