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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:

Textual analysis and detection of financial fraud: Evidence from Chinese manufacturing firms
Jing Li, Nan Li, Tongshui Xia, et al.
Economic Modelling (2023) Vol. 126, pp. 106428-106428
Open Access | Times Cited: 11

Showing 11 citing articles:

Harnessing Artificial Intelligence and Machine Learning for Fraud Detection and Prevention in Nigeria.
Oluwaseun Isaac Odufisan, Osekhonmen Victory Abhulimen, Erastus Ogunti
Journal of Economic Criminology (2025), pp. 100127-100127
Open Access
Research on financial fraud detection by integrating latent semantic features of annual report text with accounting indicators
Weilong Liu, Zhongguo Wang, Frank Zhang
Journal of Accounting & Organizational Change (2025)
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
Predicting financial fraud in Chinese listed companies: An enterprise portrait and machine learning approach
Z. Hu J.W. Zhang, Zhao Wang, Lixin Cai
Pacific-Basin Finance Journal (2025) Vol. 90, pp. 102665-102665
Closed Access
An Examination of Management Tone in the MD&A in the Context of Fraud Pentagon
Zabihollah Rezaee, Azam Pouryousof, Abolfazl Soleimani
Journal of Forensic Accounting Research (2024), pp. 1-27
Open Access | Times Cited: 1
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: 1
Predicting likelihood of fraud among financial distressed firms in Malaysia using textual analysis
Marziana Madah Marzuki, Syerina Azlin Md Nasir, Siti Fadilah Mat Zain, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 3, pp. 1620-1620
Open Access
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
Enhancing Fraud Detection Capacities: The Role of Auditor Training, Professional Skepticism, and Integrity in Government Internal Control Mechanisms in Indonesia
Nurleni, Darmawati Darmawati, Mediaty MEDIATY
Revista de Gestão Social e Ambiental (2024) Vol. 18, Iss. 8, pp. e06002-e06002
Closed Access
Detecting Fraudulent Financial Reporting The Construction Sector In Indonesia: Fraud Triangle
Eko Pujiyono Yono, Indira Januarti Indira
Jurnal Proaksi (2024) Vol. 11, Iss. 2, pp. 489-500
Open Access
Industrial policy persistence and local economic performance: The role of subsidy allocation in China
Jietong Lin, Xin Wang, Mingzhi Xu
Economic Modelling (2024), pp. 106897-106897
Closed Access
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