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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:

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

Showing 26-50 of 86 citing articles:

Fraud Detection and Identification in Credit Card Based on Machine Learning Techniques
Omega John Unogwu, Youssef Filali
Wasit Journal of Computer and Mathematics Science (2023) Vol. 2, Iss. 3, pp. 16-22
Open Access | Times Cited: 6
Integrated SVM-FFNN for Fraud Detection in Banking Financial Transactions
Udayakumar Dr.R., Dr.P. Bharath Kumar Chowdary, Devi Dr.T., et al.
Journal of Internet Services and Information Security (2023) Vol. 13, Iss. 4, pp. 12-25
Open Access | Times Cited: 6
Fraud Detection in Credit Card Data Using Machine Learning Techniques
Arun Kumar, Rajendra Kumar Dwivedi
Communications in computer and information science (2020), pp. 369-382
Closed Access | Times Cited: 16
Performance Evaluation and Practical Use of Supervised Data Mining Algorithms for Credit Card Approval
Lei Duan
(2020)
Closed Access | Times Cited: 15
Credit Card Fraud Detection: A Hybrid of PSO and K-Means Clustering Unsupervised Approach
Nityanand Sharma, Vivek Ranjan
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2023), pp. 445-450
Closed Access | Times Cited: 5
A Novel Framework for credit card fraud detection
Heena Kochhara, Yogesh Chhabrab
Turkish Journal of Computer and Mathematics Education (TURCOMAT) (2021) Vol. 12, Iss. 11, pp. 3189-3195
Closed Access | Times Cited: 12
Poultry raising light control system for laying hens and broilers
Thidarat Pinthong, Thittaporn Ganokratanaa
(2023), pp. 1-6
Closed Access | Times Cited: 4
Smart Bin for Covid19
Mahasak Ketcham, Thittaporn Ganokratanaa, Patiyuth Pramkeaw, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Evaluation of Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison
Qazaleh Sadat Mirhashemi, Negar Nasiri, Mohammad Reza Keyvanpour
(2023), pp. 247-252
Closed 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
Application of Deep Learning for Credit Card Approval: A Comparison with Two Machine Learning Techniques
Md. Golam Kibria, Mehmet Şevkli
International Journal of Machine Learning and Computing (2021) Vol. 11, Iss. 4, pp. 286-290
Open Access | Times Cited: 10
Anonymized Credit Card Transaction Using Machine Learning Techniques
Bharat Kumar Padhi, Sujata Chakravarty, Biswajit Biswal
Lecture notes in networks and systems (2020), pp. 413-423
Closed Access | Times Cited: 10
Real-Time Credit Card Fraud Detection Using Spark Framework
A. Madhavi, T. Sivaramireddy
Algorithms for intelligent systems (2021), pp. 287-298
Closed Access | Times Cited: 8
Comparative Analysis of Numerous Approaches in Machine Learning to Predict Financial Fraud in Big Data Framework
Amit Gupta, Manoj Chandra Lohani
Advances in intelligent systems and computing (2021), pp. 107-123
Closed Access | Times Cited: 8
A Multi-Modal Profiling Fraud-Detection System for Capturing Suspicious Airline Ticket Activities
Mehmed Taha Aras, M. Amaç Güvensan
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13121-13121
Open Access | Times Cited: 3
A Machine Learning-based System for Financial Fraud Detection
João Paulo A. Andrade, Leonardo S. Paulucio, Thiago M. Paixão, et al.
(2021), pp. 165-176
Open Access | Times Cited: 7
CCFD-Net: A novel deep learning model for credit card fraud detection
Xiao Liu, Kuan Yan, Levent Burak Kara, et al.
(2021), pp. 9-16
Closed Access | Times Cited: 7
Determination of Cyber Security Awareness Levels of Students with Machine Learning Methods
Mahmut TOKMAK
Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2023) Vol. 28, Iss. 2, pp. 451-466
Open Access | Times Cited: 2
Rapport of Counterfeit Profiles in Social Networking using Machine Learning Techniques
Mahima Jyothi, TVG Sridevi, KV Rajani, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 2
Counterfeit Detection in the e-Commerce Industry Using Machine Learning: A Review
Jay Gohil, Rasha Kashef
2022 IEEE International Systems Conference (SysCon) (2023) Vol. 21, pp. 1-8
Closed Access | Times Cited: 2
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels
Jiho Choi, Junghoon Park, Woocheol Kim, et al.
Lecture notes in computer science (2023), pp. 243-258
Closed Access | Times Cited: 2
CREDIT CARD FRAUD DETECTION
Aishwarya Vuppala, Navya Reddy Boddu
International Journal For Innovative Engineering and Management Research (2022), pp. 359-376
Open Access | Times Cited: 4
An Empirical Analysis of Synthetic-Data-Based Anomaly Detection
Majlinda Llugiqi, Rudolf Mayer
Lecture notes in computer science (2022), pp. 306-327
Closed Access | Times Cited: 4
Survey of Various Techniques used for Credit Card Fraud Detection
Aayushi Agarwal
International Journal for Research in Applied Science and Engineering Technology (2020) Vol. 8, Iss. 7, pp. 1642-1646
Open Access | Times Cited: 4
A Systematic Investigation on the Effectiveness of the Tabbert Model for Credit Card Fraud Detection
Isuru Udayangani Hewapathirana, Nanthakumar Kekayan, Deshanjali Diyasena
(2022), pp. 96-101
Closed Access | Times Cited: 3

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