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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:

Using machine learning to detect misstatements
Jeremy Bertomeu, Edwige Cheynel, Eric Floyd, et al.
Review of Accounting Studies (2020) Vol. 26, Iss. 2, pp. 468-519
Closed Access | Times Cited: 164

Showing 1-25 of 164 citing articles:

Textual Analysis in Accounting: What's Next?*
Khrystyna Bochkay, Stephen Brown, Andrew J. Leone, et al.
Contemporary Accounting Research (2022) Vol. 40, Iss. 2, pp. 765-805
Open Access | Times Cited: 92
Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data
XI CHEN, YANG HA CHO, Yiwei Dou, et al.
Journal of Accounting Research (2022) Vol. 60, Iss. 2, pp. 467-515
Closed Access | Times Cited: 89
How to Talk When a Machine Is Listening: Corporate Disclosure in the Age of AI
Sean Cao, Wei Jiang, Baozhong Yang, et al.
Review of Financial Studies (2023) Vol. 36, Iss. 9, pp. 3603-3642
Open Access | Times Cited: 88
Explainable Artificial Intelligence (XAI) in auditing
Chanyuan Zhang, Soohyun Cho, Miklos A. Vasarhelyi
International Journal of Accounting Information Systems (2022) Vol. 46, pp. 100572-100572
Closed Access | Times Cited: 85
The impact of the integration of the digital economy and the real economy on the risk of stock price collapse
Guanglin Sun, Yin Ding, Tao Kong, et al.
Pacific-Basin Finance Journal (2024) Vol. 85, pp. 102373-102373
Closed Access | Times Cited: 23
Machine learning improves accounting estimates: evidence from insurance payments
Kexing Ding, Baruch Lev, Xuan Peng, et al.
Review of Accounting Studies (2020) Vol. 25, Iss. 3, pp. 1098-1134
Closed Access | Times Cited: 133
Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach
MIAO LIU
Journal of Accounting Research (2022) Vol. 60, Iss. 2, pp. 607-651
Open Access | Times Cited: 44
Artificial intelligence and the changing landscape of accounting: a viewpoint
John Kommunuri
Pacific Accounting Review (2022) Vol. 34, Iss. 4, pp. 585-594
Closed Access | Times Cited: 44
Machine Learning in Management Accounting Research: Literature Review and Pathways for the Future
Mikko Ranta, Mika Ylinen, Marko Järvenpää
European Accounting Review (2022) Vol. 32, Iss. 3, pp. 607-636
Open Access | Times Cited: 43
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
Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda
Marko Kureljusic, Erik Karger
Journal of Applied Accounting Research (2023) Vol. 25, Iss. 1, pp. 81-104
Open Access | Times Cited: 32
Detecting financial statement fraud using dynamic ensemble machine learning
Muhammad Atif Khan Achakzai, Juan Peng
International Review of Financial Analysis (2023) Vol. 89, pp. 102827-102827
Closed Access | Times Cited: 29
A Demonstration of How ChatGPT Can be Used in the Internal Auditing Process
Marc Eulerich, David A. Wood
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 26
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
Blockchain and earnings management: Evidence from the supply chain
Donald Autore, Huimin Chen, Nicholas Clarke, et al.
The British Accounting Review (2024) Vol. 56, Iss. 4, pp. 101357-101357
Closed Access | Times Cited: 8
Does Carbon Risk Influence Stock Price Crash Risk? International Evidence
Sudipta Bose, Patrick J. Schorno, Kristina Minnick, et al.
Journal of Business Finance & Accounting (2025)
Closed Access | Times Cited: 1
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
Auditors’ decision-making aid for going concern audit opinions through machine learning analysis
Eunbae Lee, Dave Tahmoush
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100732-100732
Closed Access | Times Cited: 1
Machine learning improves accounting: discussion, implementation and research opportunities
Jeremy Bertomeu
Review of Accounting Studies (2020) Vol. 25, Iss. 3, pp. 1135-1155
Closed Access | Times Cited: 51
Machine learning methods in finance: Recent applications and prospects
Daniel Hoang, Kevin Wiegratz
European Financial Management (2022) Vol. 29, Iss. 5, pp. 1657-1701
Open Access | Times Cited: 35
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: 34
Predicting financial distress of Chinese listed companies using machine learning: To what extent does textual disclosure matter?
Qi Zhao, Weijun Xu, Yucheng Ji
International Review of Financial Analysis (2023) Vol. 89, pp. 102770-102770
Closed Access | Times Cited: 21
The productivity effect of digital financial reporting
Zheng Liu, Ning Zhang
Review of Accounting Studies (2023) Vol. 29, Iss. 3, pp. 2350-2390
Closed Access | Times Cited: 19
Fraud detection in capital markets: A novel machine learning approach
Ziwei Yi, Xinwei Cao, Xujin Pu, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120760-120760
Closed Access | Times Cited: 17
Exploring accounting and AI using topic modelling
Bríd Murphy, Orla Feeney, Pierangelo Rosati, et al.
International Journal of Accounting Information Systems (2024) Vol. 55, pp. 100709-100709
Open Access | Times Cited: 6
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