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:

Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework
Xin Xu, Feng Xiong, Zhe An
Journal of Business Ethics (2022) Vol. 186, Iss. 1, pp. 137-158
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

State of the art in financial statement fraud detection: A systematic review
T. Shahana, V. Lavanya, Aamir Rashid Bhat
Technological Forecasting and Social Change (2023) Vol. 192, pp. 122527-122527
Closed Access | Times Cited: 33
Machine Learning for Predicting Corporate Violations: How Do CEO Characteristics Matter?
Ruijie Sun, Feng Liu, Yinan Li, et al.
Journal of Business Ethics (2024) Vol. 195, Iss. 1, pp. 151-166
Closed Access | Times Cited: 9
Accounting fraud detection through textual risk disclosures in annual reports: From the perspective of SEC guidelines
Xiaoqian Zhu, Huidong Wu, Yanpeng Chang, et al.
Accounting and Finance (2025)
Closed Access | Times Cited: 1
Expanding and Interpreting Financial Statement Fraud Detection Using Supply Chain Knowledge Graphs
Shanshan Zhu, Ting Ma, Haotian Wu, et al.
Journal of theoretical and applied electronic commerce research (2025) Vol. 20, Iss. 1, pp. 26-26
Open Access | Times Cited: 1
Unethical Work Polyvictimisation, Employee Well‐Being, and Work Stress
Sean Valentine, Robert A. Giacalone, Bingqing Yin, et al.
Stress and Health (2025) Vol. 41, Iss. 2
Closed Access
Machine Learning for Identifying Risk in Financial Statements: A Survey
Elias Zavitsanos, Eirini Spyropoulou, George Giannakopoulos, et al.
ACM Computing Surveys (2025)
Closed Access
Predicting ESG Disclosure Quality Through Board Secretary Characteristics: A Machine Learning Approach
Yang Jie, Yanfang Niu, Wenlei Shi, et al.
Research in International Business and Finance (2025), pp. 102865-102865
Closed Access
A Bibliometric Analysis to Study the Evolution of Artificial Intelligence in Business Ethics
Mario Tani, Valerio Muto, Gianpaolo Basile, et al.
Business Ethics the Environment & Responsibility (2025)
Open Access
Does digital transformation affect corporate fraud?
Bing Wang, Jun Luo, X. Zhang, et al.
Finance research letters (2025), pp. 107418-107418
Closed Access
Big Data-Driven Distributed Machine Learning for Scalable Credit Card Fraud Detection Using PySpark, XGBoost, and CatBoost
Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Anastasios Tsimakis, et al.
Electronics (2025) Vol. 14, Iss. 9, pp. 1754-1754
Open Access
Enhancing corporate governance through AI: a systematic literature review
Manal Ahdadou, Abdellah Aajly, Mohamed Tahrouch
Technology Analysis and Strategic Management (2024), pp. 1-14
Closed Access | Times Cited: 3
Bagging or boosting? Empirical evidence from financial statement fraud detection
Xiaowei Chen, C. Xiaoyu Zhai
Accounting and Finance (2023) Vol. 63, Iss. 5, pp. 5093-5142
Closed Access | Times Cited: 8
Development of a decision support system for client acceptance in independent audit process
Selçuk Çebi, Necip Fazıl Karakurt, Erkan Kurtulus, et al.
International Journal of Accounting Information Systems (2024) Vol. 53, pp. 100683-100683
Closed Access | Times Cited: 2
Why do employees commit fraud? Theory, measurement, and validation
Bin Lin, Junqin Huang, Youliang Liao, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 10
Detecting accounting fraud in family firms: Evidence from machine learning approaches
Md Jahidur Rahman, Hongtao Zhu
Advances in Accounting (2023) Vol. 64, pp. 100722-100722
Closed Access | Times Cited: 5
The secret of imitating wrongdoing: Accidental or deliberate
Fengwen Chen, Bing Wang, Wei Wang, et al.
Research in International Business and Finance (2024) Vol. 69, pp. 102279-102279
Closed Access | Times Cited: 1
Deep neural networks for corporate misconduct prediction in construction industry using data from social networks
Ran Wang, Yanyan Liu, Bin Xue, et al.
Automation in Construction (2024) Vol. 162, pp. 105361-105361
Closed Access | Times Cited: 1
An intelligent detecting model for financial frauds in Chinese A‐share market
Yunchuan Sun, Xiaoping Zeng, Ying Xu, et al.
Economics and Politics (2024) Vol. 36, Iss. 2, pp. 1110-1136
Closed Access | Times Cited: 1
Making differences work: Financial fraud detection based on multi-subject perceptions
Guowen Li, Shuai Wang, Yuyao Feng
Emerging Markets Review (2024) Vol. 60, pp. 101134-101134
Closed Access | Times Cited: 1
Credit Card Fraud Detection with Machine Learning and Big Data Analytics: A PySpark Framework Implementation
Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Fotini Zakka, et al.
(2024)
Open Access | Times Cited: 1
Financial Market Misconduct: A Bibliometric Perspective
Rosella Carè, Rabia Fatima
European Financial Management (2024)
Open Access | Times Cited: 1
MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction
Chunli Liu, Liu Yang, Weibo Gao, et al.
Electronic Commerce Research and Applications (2022) Vol. 57, pp. 101225-101225
Open Access | Times Cited: 6
Financial Fraud Identification of the Companies Based on the Logistic Regression Model
Heshan Guan, Siying Li, Qian Wang, et al.
Journal of Competitiveness (2022) Vol. 14, Iss. 4
Open Access | Times Cited: 5
A Comparative Study of Feature Selection Technique for Predicting the Professional Tennis Matches Outcome in a Grand Slam Tournament
Nur Amira Sariaty Ruslan, Zuraini Zainol, Ummul Fahri Abdul Rauf
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 270-270
Open Access
Fortifying the Last Line of Defense -Ensemble Learning for Corporate Internal Control
Yong Ma, Mingtao Zhou, Tianyang Wang
(2024)
Closed Access
Page 1 - Next Page

Scroll to top