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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:

Fraud Detection using Machine Learning and Deep Learning
P. Raghavan, Neamat El Gayar
(2019), pp. 334-339
Closed Access | Times Cited: 109

Showing 26-50 of 109 citing articles:

The Potential of Energy-Based RBM and xLSTM for Real-Time Predictive Analytics in Credit Card Fraud Detection
Peyman Baghdadi, Serdar Korukoğlu, Mehmet Ali Bilici, et al.
Journal of Data Analysis and Information Processing (2025) Vol. 13, Iss. 01, pp. 79-100
Open Access
Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method
Eka Purnama Harahap, Hindriyanto Dwi Purnomo, Ade Iriani, et al.
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 13-22
Open Access | Times Cited: 3
A machine learning-based framework using the particle swarm optimization algorithm for credit card fraud detection
Abdullah Asım Yılmaz
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering (2024) Vol. 66, Iss. 1, pp. 82-94
Open Access | Times Cited: 3
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, et al.
(2023)
Open Access | Times Cited: 8
An Improved LSTM-Based Failure Classification Model for Financial Companies Using Natural Language Processing
Zhan Wang, So Yeon Kim, Inwhee Joe
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7884-7884
Open Access | Times Cited: 7
Artificial Intelligence Methods for Smart Cities
Alessandro Sebastian Podda, Salvatore Carta, Silvio Barra
Sensors (2024) Vol. 24, Iss. 8, pp. 2615-2615
Open Access | Times Cited: 2
Comparative study of deep learning explainability and causal ai for fraud detection
Erum Parkar, Shilpa Gite, Sashikala Mishra, et al.
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Multi-Level Clustering-Based Outlier’s Detection (MCOD) Using Self-Organizing Maps
Menglu Li, Rasha Kashef, Ahmed Ibrahim
Big Data and Cognitive Computing (2020) Vol. 4, Iss. 4, pp. 24-24
Open Access | Times Cited: 18
Case Study on Online Fraud Detection using Machine Learning
Ayushi Pandey, Harsh Jaiswal, Aanchal Vij, et al.
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022), pp. 48-52
Closed Access | Times Cited: 11
An Ensemble Architecture Based on Deep Learning Model for Click Fraud Detection in Pay-Per-Click Advertisement Campaign
Amreen Batool, Yung-Cheol Byun
IEEE Access (2022) Vol. 10, pp. 113410-113426
Open Access | Times Cited: 11
Shuffled shepherd political optimization‐based deep learning method for credit card fraud detection
Venkata Ratnam Ganji, Aparna Chaparala, S. Radhika
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 10
Closed Access | Times Cited: 6
RDQN: ensemble of deep neural network with reinforcement learning in classification based on rough set theory for digital transactional fraud detection
Chandana Gouri Tekkali, Karthika Natarajan
Complex & Intelligent Systems (2023) Vol. 9, Iss. 5, pp. 5313-5332
Open Access | Times Cited: 6
Credit Card Fraud Detection Using Machine Learning
Neethu Tressa, V Asha, M Govindaraj, et al.
(2023) Vol. 10, pp. 1-6
Closed Access | Times Cited: 6
Credit Card Fraud Detection Using Machine Learning Algorithms
T S Anagha, Asra Fathima, Archana D. Naik, et al.
(2023) Vol. 8, pp. 419-424
Closed Access | Times Cited: 6
Fraud Detection in Financial Domain using Machine Learning
Nilotpal Pathak, Swasti Singhal
(2023), pp. 1449-1452
Closed Access | Times Cited: 5
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
Online Fraud Detection using Machine Learning
Diksha Dhiman, Amita Bisht, Anita Kumari, et al.
(2023), pp. 161-164
Closed Access | Times Cited: 4
Fraud Detection of Credit Cards Using Supervised Machine Learning Techniques
Ammarah Urooj Aftab, Iqra Shahzad, Amna Sajid, et al.
Pakistan Journal of Emerging Science and Technologies (PJEST) (2023) Vol. 4, Iss. 3, pp. 38-51
Open Access | Times Cited: 4
Online Payment Fraud Detection for Big Data
Samiksha Dattaprasad Tawde, Sandhya Arora, Yashasvee Shitalkumar Thakur
Lecture notes in computer science (2024), pp. 324-337
Closed Access | Times Cited: 1
Implementation of Machine Learning and Deep Learning in Finance
Dilek Çelik, Sonal Jain
Advanced sciences and technologies for security applications (2024), pp. 59-80
Closed Access | Times Cited: 1
Credit Card Fraud Detection Using Machine Learning
Jitendra Kumar, Pankaj Kumar Goswami
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 1
Real-Time Fraud Detection Using Machine Learning
Benjamin Borketey
Journal of Data Analysis and Information Processing (2024) Vol. 12, Iss. 02, pp. 189-209
Open Access | Times Cited: 1
Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method
Eka Purnama Harahap, Hindriyanto Dwi Purnomo, Ade Iriani, et al.
Computer Science and Information Technologies (2024) Vol. 5, Iss. 1, pp. 19-28
Open Access | Times Cited: 1
Machine Learning Approaches for Credit Card Fraud Detection: A Comparative Analysis and the Promise of 1D Convolutional Neural Networks
Balachandar Paulraj
(2024), pp. 82-92
Closed Access | Times Cited: 1
Revitalizing the Forensic Accounting: An Exploratory Study on Mitigating the Financial Risk using Data Analytics
Meenu Gupta, Pradeep Kumar Aggarwal, Rekha Gupta
International Journal of experimental research and review (2024) Vol. 41, Iss. Spl Vol, pp. 227-238
Open Access | Times Cited: 1

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