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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:

Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems
Miguel Ângelo Lellis Moreira, Claudio de Souza Rocha, Diogo Ferreira de Lima Silva, et al.
Procedia Computer Science (2022) Vol. 214, pp. 117-124
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

COMBATING BANKING FRAUD WITH IT: INTEGRATING MACHINE LEARNING AND DATA ANALYTICS
Nur Mohammad, Md Ahsan Ullah Imran, M. Prabha, et al.
The American Journal of Management and Economics Innovations (2024) Vol. 6, Iss. 7, pp. 39-56
Open Access | Times Cited: 16
Building fraud monitoring systems: approaches, methods, models and their practical implementation
N. M. Krainov, L. K. Bobrov
Vestnik NSUEM (2025), Iss. 4, pp. 79-96
Closed Access
The Role of AI in Financial Services: A Bibliometric Analysis
Oluwafemi Ayotunde Oke, Nadire Çavuş
Journal of Computer Information Systems (2024), pp. 1-13
Closed Access | Times Cited: 4
Analyzing the Impact of Machine Learning Algorithms on Risk Management and Fraud Detection in Financial Institution
Deepak Kumar, Shoumya Singh
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 5, pp. 1797-1804
Open Access | Times Cited: 4
Role of Artificial Intelligence and Machine Learning in Fraud Detection and Prevention
Renuka Sharma, Kiran Mehta, Poonam Sharma
Advances in finance, accounting, and economics book series (2024), pp. 90-120
Closed Access | Times Cited: 4
Preventing and detecting internal fraud risk: a critical analysis of the anti-fraud tools used by the Indian banking industry
Lalita Soni, Deepa Mangala
Journal of Money Laundering Control (2025)
Closed Access
The Brain Overwork Scale: A Population-Based Cross-Sectional Study on the Psychometric Properties of a New 10-Item Scale to Assess Mental Distress in Mongolia
Battuvshin Lkhagvasuren, Tetsuya Hiramoto, Enkhnaran Tumurbaatar, et al.
Healthcare (2023) Vol. 11, Iss. 7, pp. 1003-1003
Open Access | Times Cited: 9
Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion
H. A. Abbassi, Saida El Mendili, Youssef Gahi
HighTech and Innovation Journal (2024) Vol. 5, Iss. 1, pp. 185-199
Open Access | Times Cited: 3
An Analysis of Residual Financial Contagion in Romania’s Banking Market for Mortgage Loans
Ștefan Ionescu, Nora Chiriţă, Ionuț Nica, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 12037-12037
Open Access | Times Cited: 8
Artificial Intelligence Driven Approaches for Financial Fraud Detection: A Systematic Literature Review
Indrawati Yuhertiana, Ahsanul Hadi Amin
KnE Social Sciences (2024)
Open Access | Times Cited: 2
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
Food fraud prevention strategies: Building an effective verification ecosystem
Louise Manning, Andrew Macleod, Christian James, et al.
Comprehensive Reviews in Food Science and Food Safety (2024) Vol. 23, Iss. 6
Open Access | Times Cited: 2
Deteksi Transaksi <i>Fraud </i>Kartu Kredit Menggunakan <i>Oversampling </i>ADASYN<i> </i>dan Seleksi Fitur SVM-RFECV
I Wayan Dharmana, I Gede Aris Gunadi, Luh Joni Erawati Dewi
Jurnal Teknologi Informasi dan Ilmu Komputer (2024) Vol. 11, Iss. 1, pp. 125-134
Open Access | Times Cited: 1
Towards Global Sustainability: Exploratory Analysis Through Unsupervised Machine Learning Techniques
Miguel Ângelo Lellis Moreira, Teresa Pereira, Marisa Oliveira, et al.
Lecture notes in mechanical engineering (2024), pp. 45-58
Closed Access | Times Cited: 1
Defense Perception in the Geopolitical Scope: An exploratory study through unsupervised machine learning
Miguel Ângelo Lellis Moreira, Guilherme Vinagre Pinto de Souza, Igor Pınheıro de Araújo Costa, et al.
Procedia Computer Science (2023) Vol. 221, pp. 689-696
Open Access | Times Cited: 2
Political stability and corruption nexus: an international perspective on European and Asian countries
Daniela-Georgeta Beju, Maria-Lenuţa Ciupac-Ulici, Vasile Paul Breşfelean
The Journal of Risk Finance (2024) Vol. 25, Iss. 3, pp. 422-442
Closed Access
EXPLORATORY DATA ANALYSIS POSSIBILITY IN THE MEANING SPACE USING LARGE LANGUAGE MODELS
L. Lyashkevych, Vasyl Lyashkevych, R. Shuvar
Electronics and Information Technologies (2024) Vol. 25
Open Access
Data science methods for response, incremental response and rate sensitivity to response modelling in banking
Jorge M. Arevalillo
Expert Systems (2024) Vol. 41, Iss. 10
Closed Access
Credit Card Fraud Detection Based on Machine Learning Classification Algorithm
Bareq Mardan Naman, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access
Computational Proposal for the SAPEVO-M Method: Technological Framework for Complex Decision-Making
Miguel Ângelo Lellis Moreira, Igor Pınheıro de Araújo Costa, Arthur Pinheiro de Araújo Costa, et al.
Procedia Computer Science (2024) Vol. 242, pp. 1050-1057
Open Access
Differential Evolution Framework for Budget Optimization in Marketing Models with Saturation and Adstock Effects
Leonardo Kerkhoff de Morais, Danilo Augusto da Silva Borges, Miguel Ângelo Lellis Moreira, et al.
Procedia Computer Science (2024) Vol. 242, pp. 520-527
Open Access
Portfolio Optimization of Renewable Energy Generation for Economic Sustainability
Caio Cezar Araujo Santos, Miguel Ângelo Lellis Moreira, Luíz Paulo Lopes Fávero, et al.
Lecture notes in networks and systems (2024), pp. 389-399
Closed Access
Development of Novel Framework for Identifying Anomalies in High Volume of Data Using Robust Machine Learning Algorithm
Santosh Kumar Nanda, Nayan Jyoti Borah
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access
A Systematic Short Review on Intelligent Fraud Detection Approaches in the Banking Sector using Deep Learning and Machine Learning with Future Trends
V. Backiyalakshmi, B. Umadevi
(2023) Vol. 11, pp. 474-481
Closed Access | Times Cited: 1
Fundamentos de Aprendizagem por Reforço
Rafael Jardim
(2023)
Closed Access
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