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:

Ensemble Learning with Supervised Machine Learning Models to Predict Credit Card Fraud Transactions
Mohammed Rashad Baker, Zuhair Norii Mahmood, Ehab Hashim Shaker
Revue d intelligence artificielle (2022) Vol. 36, Iss. 4, pp. 509-518
Open Access | Times Cited: 13

Showing 13 citing articles:

Fraud Detection in E-commerce Platforms Using Data Mining Algorithms
Abhinav Parihar, Menachem Domb, Sujata Joshi
Lecture notes in networks and systems (2025), pp. 51-62
Closed Access

Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume
Adela Bârã, Simona‐Vasilica Oprea
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3

Financial fraud detection through the application of machine learning techniques: a literature review
Ludivia Hernández Aros, Luisa Ximena Bustamante Molano, Fernando Gutiérrez-Portela, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
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

Strategies for predictive power: Machine learning models in city-scale load forecasting
Orhan Nooruldeen, Mohammed Rashad Baker, A.M. Aleesa, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2023) Vol. 6, pp. 100392-100392
Open Access | Times Cited: 5

Highly Imbalanced Classification of Gout Using Data Resampling and Ensemble Method
Xiaonan Si, Lei Wang, Wenchang Xu, et al.
Algorithms (2024) Vol. 17, Iss. 3, pp. 122-122
Open Access | Times Cited: 1

BalBERT: A New Approach to Improving Dataset Balancing for Text Classification
Laouni Mahmoudi, Mohammed Salem
Revue d intelligence artificielle (2023) Vol. 37, Iss. 2, pp. 425-431
Open Access | Times Cited: 3

Imbalance data: The application of RUS FCM K-RBFNN Smote with XGBoost in the elderly well-being identification
Gan Liu, Guirong Qi, Sanyu Wan
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9083-9102
Closed Access

Makine öğrenme yöntemleriyle nehir akım tahmininde farklı tekniklerinin karşılaştırılması
Uğur Akbulut, Mehmet Akif Çifçi, Buket İşler, et al.
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2024)
Open Access

Credit Card Fraud Detection Using Deep Neural Network with Shapley Additive Explanations
Chidinma Faith Onyeoma, Husnain Rafiq, D Deng Jeremiah, et al.
(2024), pp. 1-6
Closed Access

An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection
Basava Ramanjaneyulu Gudivaka, Muntather Almusawi, M S Priyanka, et al.
(2024), pp. 1-4
Closed Access

Comparative Analysis of Machine Learning and Autoregressive Models for Forecasting Economic Growth: A Case Study
Malika Messaoudi, Houari Khouidmi
International Journal of Sustainable Development and Planning (2024) Vol. 19, Iss. 8, pp. 3049-3061
Open Access

Predicting fraudulent card transactions using machine learning methods
Yurii Kryvenchuk, Alina Yamniuk
(2023)
Closed Access | Times Cited: 1

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