Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms
Zhihong Zhao, Tongyuan Bai
Entropy (2022) Vol. 24, Iss. 8, pp. 1157-1157
Open Access | Times Cited: 18

Showing 18 citing articles:

Machine Learning and Deep Learning for Big Data Analysis
T. Pradhan, Prathamesh Nimkar, Kavita Jhajharia
Advances in business information systems and analytics book series (2024), pp. 209-240
Closed Access | Times Cited: 11
Machine Learning Models to Screen Financial Statements for Fraud
Jesper Sørensen
(2025), pp. 125-130
Closed Access
Corporate governance, fraud learning cycles, and financial fraud detection: Evidence from Chinese listed firms
Lecturer Jing Li
Research in International Business and Finance (2025), pp. 102832-102832
Open Access
Detecting financial statement fraud using new ensemble learning: evidence during the COVID-19 pandemic in Indonesia
Moh Riskiyadi
Journal of Financial Crime (2025)
Closed Access
Is fraud detection feasible without training data? Testing an expert-based approach
Serdar Benligiray, Ahmet Onay, Fatma Yaşlı
Journal of Business Economics and Management (2025) Vol. 26, Iss. 1, pp. 210-230
Open Access
Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data
S. M. Nuruzzaman Nobel, Shirin Sultana, Sondip Poul Singha, et al.
Information (2024) Vol. 15, Iss. 6, pp. 298-298
Open Access | Times Cited: 3
Predicting Nurse Turnover for Highly Imbalanced Data Using SMOTE and Machine Learning Algorithms
Yuan Xu, Yong Shin Park, Ju dong Park, et al.
(2023)
Open Access | Times Cited: 4
Estimating Accident Reduction Rate after Maritime Traffic Safety Assessment Using Synthetic Minority Oversampling Technique and Machine Learning Algorithm
Wolseok Won, Minjeong Lim, Won-Sik Kang
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3283-3283
Open Access | Times Cited: 1
Building Resilience in Banking Against Fraud with Hyper Ensemble Machine Learning and Anomaly Detection Strategies
Astha Vashistha, Anoop Kumar Tiwari
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 1
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: 1
Credit Card Fraud Identification using Logistic Regression and Random Forest
Wang Yundong, Alexander Zhulev, Omar Ahmed
Wasit Journal of Computer and Mathematics Science (2023) Vol. 2, Iss. 3, pp. 1-8
Open Access | Times Cited: 3
Fraud Classification In Financial Statements Using Machine Learning Techniques
Abdulla Hussain Ali Mohamed, Suresh Subramanian
(2023), pp. 1-4
Closed Access | Times Cited: 2
Predicting Nurse Turnover for Highly Imbalanced Data Using the Synthetic Minority Over-Sampling Technique and Machine Learning Algorithms
Yuan Xu, Yong Shin Park, Ju Dong Park, et al.
Healthcare (2023) Vol. 11, Iss. 24, pp. 3173-3173
Open Access | Times Cited: 2
Optimizing Fraud Detection in Traffic Accident Insurance Claims Through AI Models: Strategies and Challenges
Luis Miguel Mora-Escobar, Ixent Galpin
Communications in computer and information science (2024), pp. 262-277
Closed Access
Developing Predictive Models for Detecting Financial Statement Fraud: A Machine Learning Approach
Muhammed Zakir Hossain, Mamunur R. Raja, Latul Hasan
European Journal of Theoretical and Applied Sciences (2024) Vol. 2, Iss. 6, pp. 271-290
Closed Access
A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges
D.O. Hassan, Bryar A. Hassan
Neural Computing and Applications (2024)
Closed Access
Comprehensive Analysis of Grid and Randomized Search on Dataset Performance
Nadir Subaşı
European Journal of Engineering and Applied Sciences (2024) Vol. 7, Iss. 2, pp. 77-83
Closed Access
Identifying Inefficient Strategies in Automation-Aided Signal Detection
Lana Tikhomirov, Megan L. Bartlett, Jackson Duncan-Reid, et al.
(2022)
Open Access | Times Cited: 1
Business Prohibition—How Company’s Financial Statements Reflect the Positions of Convicted Persons?
Erkki K. Laitinen, Teija Laitinen
Theoretical Economics Letters (2023) Vol. 13, Iss. 04, pp. 974-1008
Open Access
Online Neural-Detection of False Data Injection Attacks on Financial Time Series
Alma Y. Alanís, Oscar D. Sánchez, Alejandra Ibarra, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1712-1717
Closed Access
Page 1

Scroll to top