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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 in Mobile Payment Systems using an XGBoost-based Framework
Petr Hájek, Mohammad Zoynul Abedin, Uthayasankar Sivarajah
Information Systems Frontiers (2022) Vol. 25, Iss. 5, pp. 1985-2003
Open Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

Financial Fraud Detection Using Hybrid Convolutional and Recurrent Neural Networks: An Analysis of Unstructured Data in Banking
Shaik Rehana Banu, Taviti Naidu Gongada, Kathari Santosh, et al.
(2024) Vol. 27, pp. 1027-1031
Closed Access | Times Cited: 3
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: 9
Sustainability with Limited Data: A Novel Predictive Analytics Approach for Forecasting CO2 Emissions
Christos K. Filelis‐Papadopoulos, Samuel N. Kirshner, Philip O‘Reilly
Information Systems Frontiers (2024)
Open Access | Times Cited: 3
Predicting geogenic groundwater arsenic contamination risk in floodplains using interpretable machine-learning model
Ruiyu Fan, Yamin Deng, Yao Du, et al.
Environmental Pollution (2023) Vol. 340, pp. 122787-122787
Open Access | Times Cited: 8
Mobile Fintech Adoption in Sub-Saharan Africa: A Systematic Literature Review and Meta-Analysis
Lars Hornuf, Kulondwa Safari, Johannes Voshaar
Research in International Business and Finance (2024) Vol. 73, pp. 102529-102529
Open Access | Times Cited: 2
Enhancing fraud detection efficiency in mobile transactions through the integration of bidirectional 3d Quasi-Recurrent Neural network and blockchain technologies
H.R. Ranganatha, A Syed Mustafa
Expert Systems with Applications (2024) Vol. 260, pp. 125179-125179
Closed Access | Times Cited: 2
A framework for flood depth using hydrodynamic modeling and machine learning in the coastal province of Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Y. Nhu Nguyen, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2023)
Closed Access | Times Cited: 5
Investigating M-Payment Intention across Consumer Cohorts
Amonrat Thoumrungroje, Lokweetpun Suprawan
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 1, pp. 431-447
Open Access | Times Cited: 1
Tree Boosting Methods for Balanced and Imbalanced Classification and their Robustness Over Time in Risk Assessment
Gissel Velarde, Michael Weichert, Anuj Deshmunkh, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200354-200354
Open Access | Times Cited: 1
Assessing the relationship between landslide susceptibility and land cover change using machine learning
Duy Nguyen Huu, Tung Vu Cong, Petre Brețcan, et al.
VIETNAM JOURNAL OF EARTH SCIENCES (2024)
Open Access | Times Cited: 1
Scientific Elegance in NIDS: Unveiling Cardinality Reduction, Box-Cox Transformation, and ADASYN for Enhanced Intrusion Detection
Amerah Alabrah
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 3897-3912
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
ASIA: A Federated Boosting Tree Model Against Sequence Inference Attacks in Financial Networks
Yubo Kong, Zhong Li, Changjun Jiang
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 6991-7004
Closed Access | Times Cited: 1
Class Imbalance Problem: A Wrapper-Based Approach using Under-Sampling with Ensemble Learning
Riyaz Sikora, Yoon Sang Lee
Information Systems Frontiers (2024)
Closed Access | Times Cited: 1
Avances en el uso de inteligencia artificial para la mejora del control y la detección de fraudes en organizaciones
Maricela Lescano-Delgado
Revista Cientifica de Sistemas e Informatica (2024) Vol. 4, Iss. 2, pp. e671-e671
Open Access | Times Cited: 1
Design of a Machine Learning-based Decision Support System for Product Scheduling on Non Identical Parallel Machines
Khalid Ait Ben Hamou, Zahi Jarir, Selwa Elfirdoussi
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 16317-16325
Open Access | Times Cited: 1
Improving the quality of payment fraud detection by using a combined approach of transaction analysis
Svitlana Gavrylenko, Oleksii Abdullin
Innovative technologies and scientific solutions for industries (2024), Iss. 4(30), pp. 31-38
Open Access | Times Cited: 1
Detection of financial fraud: comparisons of some tree-based machine learning approaches
Kausik Sengupta, Pradyot Kumar Das
Journal of Data Information and Management (2023) Vol. 5, Iss. 1-2, pp. 23-37
Closed Access | Times Cited: 4
Default Risk Prediction Based on Support Vector Machine and Logit Support Vector Machine
Fahmida-E-Moula, Nusrat Afrin Shilpa, Preity Shaha, et al.
International series in management science/operations research/International series in operations research & management science (2023), pp. 93-106
Closed Access | Times Cited: 2
GAN-based Data Augmentation for Credit Card Fraud Detection
Emilija Strelcenia, Simant Prakoonwit
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 6812-6814
Closed Access | Times Cited: 3
Incorporating media news to predict financial distress: Case study on Chinese listed companies
Lifang Zhang, Mohammad Zoynul Abedin, Zhenkun Liu
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1374-1398
Closed Access
Refining Detection Mechanism of Mobile Money Fraud Using MoMTSim Platform
Denish Azamuke, Marriette Katarahweire, Joshua Muleesi Businge, et al.
Communications in computer and information science (2024), pp. 62-82
Closed Access
GCNXG: Detecting Fraudulent Activities in Financial Networks: A Graph Analytics and Machine Learning Fusion
C. T. Nagaraj, M. Clement Joe Anand, S. Sujitha Priyadharshini, et al.
Communications in computer and information science (2024), pp. 17-32
Closed Access
Enhancing Financial Fraud Detection Through Chimp-Optimized Long Short-Term Memory Networks
T. Karthikeyan, M. Govindarajan, Veeramani Vijayakumar
Traitement du signal (2024) Vol. 41, Iss. 2, pp. 835-845
Open Access
Digital banking fortification: a real-time isolation forest architecture for detecting online transaction fraud
H. A. Abbassi, Saida El Mendili, Youssef Gahi
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025214-025214
Open Access

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