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:

Cost-sensitive metaheuristic technique for credit card fraud detection
Ajeet Singh, Anurag Jain
Journal of Information and Optimization Sciences (2020) Vol. 41, Iss. 6, pp. 1319-1331
Closed Access | Times Cited: 14

Showing 14 citing articles:

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
An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning
Xiuguo Wu, Sheng-Yong Du
IEEE Access (2022) Vol. 10, pp. 22516-22532
Open Access | Times Cited: 44
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: 24
Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine
Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 26
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: 14
Enhancing detection of fraudulent financial activities using random forest and compared with decision tree techniques
Sivarakesh, Selvakumara
AIP conference proceedings (2025) Vol. 3270, pp. 020186-020186
Closed Access
Empirical Assessment of Machine Learning Techniques for Software Requirements Risk Prediction
Rashid Naseem, Zain Shaukat, Muhammad Irfan, et al.
Electronics (2021) Vol. 10, Iss. 2, pp. 168-168
Open Access | Times Cited: 23
An efficient credit card fraud detection approach using cost‐sensitive weak learner with imbalanced dataset
Ajeet Singh, Anurag Jain
Computational Intelligence (2022) Vol. 38, Iss. 6, pp. 2035-2055
Closed Access | Times Cited: 7
Imbalanced data Classification in Credit Card Fraudulent Activities Detection using Multi-Class Neural Network
N. Prabha, S. Manimekalai
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (2022), pp. 131-138
Closed Access | Times Cited: 4
PM2.5 prediction using population-based centrality weight
Hee Joon Choi, Won Kyung Lee, So Young Sohn
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
A comprehensive review on bio-inspired flower pollination algorithm
Smita Mohanty, Rajashree Dash
Journal of Information and Optimization Sciences (2022) Vol. 43, Iss. 5, pp. 963-971
Closed Access | Times Cited: 2
Credit Card Fraud Detection Using Boundary Reconstruction and Integrated Classification
Wei Zhou, Xiaorui Xue, Danxue Luo
(2022), pp. 86-93
Closed Access | Times Cited: 1
Curbing Anomalous Transactions Using Cost-Sensitive Learning
S Aswathy, V. Viji Rajendran
Lecture notes in networks and systems (2023), pp. 589-598
Closed Access
Data and Model Centric Approaches for Card Fraud Detection
Sara Farag, Nahla Barakat
(2023) Vol. 29, pp. 1-6
Closed Access
Page 1

Scroll to top