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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 1-25 of 86 citing articles:

Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison
Samidha Khatri, Aishwarya Arora, Arun Prakash Agrawal
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2020), pp. 680-683
Closed Access | Times Cited: 122
Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems
Tran Khanh Dang, Thanh Cong Tran, Luc Minh Tuan, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10004-10004
Open Access | Times Cited: 40
RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System
Bharat Kumar Padhi, Sujata Chakravarty, Bighnaraj Naik, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9321-9321
Open Access | Times Cited: 24
A Survey and a Credit Card Fraud Detection and Prevention Model using the Decision Tree Algorithm
Abdulaziz Saleh Alraddadi
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 4, pp. 11505-11510
Open Access | Times Cited: 14
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
Predictive analytics with machine learning for fraud detection of online marketing transactions
Usha Sree Nyasala, Narayana Reddy Lingannagari, Pushpa Kakarla, et al.
AIP conference proceedings (2025) Vol. 3281, pp. 020029-020029
Closed Access
Preferences and Usage of E-Banking Services Among Customers in Tripura, India
Supriya Dam
IGI Global eBooks (2025), pp. 155-186
Closed Access
Credit Card Fraud Detection Comparing Multiple Supervised Learning Algorithms for Optimal Accuracy
Ayan Kumar Mahato, Candido Ferreira Xavier de Mendonça, Harita Jasani, et al.
(2025), pp. 2641-2653
Closed Access
Evaluation of Deep Neural Networks for Reduction of Credit Card Fraud Alerts
Rafael San Miguel Carrasco, Miguel‐Ángel Sicilia
IEEE Access (2020) Vol. 8, pp. 186421-186432
Open Access | Times Cited: 34
A bio-inspired credit card fraud detection model based on user behavior analysis suitable for business management in electronic banking
Saad M. Darwish
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 11, Iss. 11, pp. 4873-4887
Closed Access | Times Cited: 33
A problem-agnostic approach to feature selection and analysis using SHAP
John Hancock, Taghi M. Khoshgoftaar, Qianxin Liang
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Credit Card Fraud Detection using Machine Learning
Dipali Sanjay Khedkar, Prasad P. Kulkarni
International Journal of Advanced Research in Science Communication and Technology (2025), pp. 1-8
Open Access
Machine Learning for Prediction of Imbalanced Data: Credit Fraud Detection
Thanh Cong Tran, Tran Khanh Dang
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2021), pp. 1-7
Closed Access | Times Cited: 26
Extreme Gradient Boost Classifier based Credit Card Fraud Detection Model
Deepak Singh Nijwala, Sudhanshu Maurya, M. P. Thapliyal, et al.
(2023), pp. 500-504
Closed Access | Times Cited: 10
An integration of deep learning model with Navo Minority Over-Sampling Technique to detect the frauds in credit cards
J. Karthika, A. Senthilselvi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 14, pp. 21757-21774
Closed Access | Times Cited: 9
Supervised Learning Methods for Identifying Credit Card Fraud
Ishaan Dawar, Narendra Kumar, Gursheen Kaur, et al.
(2023), pp. 791-796
Closed Access | Times Cited: 8
Home smart alarm system for the visually impaired
Worawut Yimyam, Thittaporn Ganokratanaa
(2023), pp. 1-5
Closed Access | Times Cited: 8
A Review of Credit Card Fraud Detection Using Machine Learning Techniques
Nadia Boutaher, Amina Elomri, Noreddine Abghour, et al.
(2020), pp. 1-5
Closed Access | Times Cited: 23
Real-Time Credit Card Fraud Detection Surveillance System
Pattarawan Thongthawonsuwan, Thittaporn Ganokratanaa, Patiyuth Pramkeaw, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 7
Advancing Credit Card Fraud Detection: A Review of Machine Learning Algorithms and the Power of Light Gradient Boosting
Farhan Aslam
American Journal of Computer Science and Technology (2024)
Open Access | Times Cited: 2
The behaviour of e-commerce users: An empirical investigation of online shopping
Syeliya Md Zaini, Nurul Hidayana Mohd Noor, Gholamreza Zandi
Deleted Journal (2024) Vol. 2024, Iss. 2, pp. 50-60
Open Access | Times Cited: 2
Detection of Credit Card Fraudulent Transactions using Boosting Algorithms
Sai Tejasri Yerramsetti, Prathima Gamini, Gayathri Devi Darapu, et al.
Journal of Emerging Technologies and Innovative Research (2021) Vol. 8, Iss. 2, pp. 2031-2036-2031-2036
Closed Access | Times Cited: 16
An Analysis on Fraud Detection in Credit Card Transactions using Machine Learning Techniques
Jincy C Mathew, B. Nithya, C R Vishwanatha, et al.
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (2022), pp. 265-272
Closed Access | Times Cited: 12
Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
Mary Isangediok, Kelum Gajamannage
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4275-4284
Open Access | Times Cited: 12
Smart Alarm Clock for Effective Sleep Health
Kantapat Kwansomkid, Mahasak Ketcham, Thittaporn Ganokratanaa, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 6
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