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:

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

Showing 1-25 of 89 citing articles:

The effect of enterprise digital transformation on audit efficiency—Evidence from China
Aolin Leng, Yue Zhang
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123215-123215
Closed Access | Times Cited: 27
Financial Statement Analysis with Large Language Models
Alex Kim, Maximilian Muhn, Valeri V. Nikolaev
(2024)
Open Access | Times Cited: 20
Applied AI for finance and accounting: Alternative data and opportunities
Sean Cao, Wei Jiang, Lijun Lei, et al.
Pacific-Basin Finance Journal (2024) Vol. 84, pp. 102307-102307
Closed Access | Times Cited: 16
Machine learning and the cross-section of emerging market stock returns
Matthias X. Hanauer, Tobias Kalsbach
Emerging Markets Review (2023) Vol. 55, pp. 101022-101022
Closed Access | Times Cited: 25
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
Context-Based Interpretation of Financial Information
Alex Kim, Valeri V. Nikolaev
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 18
The Promise and Peril of Generative AI: Evidence from ChatGPT as Sell-Side Analysts
Edward Xuejun Li, Zhiyuan Tu, Dexin Zhou
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 18
Artificial Intelligence and Financial Reporting Quality
Divya Anantharaman, Andrea Rozario, Chanyuan Zhang
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 17
A user-centered explainable artificial intelligence approach for financial fraud detection
Ying Zhou, Haoran Li, Zhi Xiao, et al.
Finance research letters (2023) Vol. 58, pp. 104309-104309
Closed Access | Times Cited: 13
Warranty Provisions: Machine-Learning Versus Human Estimates
Martin Becker, Simon Schölzel
European Accounting Review (2025), pp. 1-30
Open Access
Silent Suffering: Using Machine Learning to Measure CEO Depression
Sung-Yuan Cheng, Nargess M. Golshan
Journal of Accounting Research (2025)
Open Access
The role of associated risk in predicting financial distress: A case study of listed agricultural companies in China
Wanjuan Zhang, Jing Wang
Finance research letters (2025), pp. 107125-107125
Closed Access
Have the Chinese crude oil futures prices made a progress towards becoming the regional oil pricing benchmark? Empirical analysis from the asset pricing perspective
Zhiwei Xu, Xingneng Gou, Teng Zhang
Energy Economics (2025), pp. 108409-108409
Closed Access
Measuring Pricing Efficiency of Bank Equity by the Convergence of Fundamentals and Price-based ROE Predictions Applying Gradient Boosting
Suddhasanta De, Avik Das, Tamoghna Mukherjee, et al.
(2025), pp. 647-652
Closed Access
Deep-Learning Earnings
Yixiang Fang, Feng Li
(2025)
Closed Access
Can ChatGPT reduce human financial analysts’ optimistic biases?
Xiaoyang Li, Haoming Feng, Hailong Yang, et al.
Economic and Political Studies (2023) Vol. 12, Iss. 1, pp. 20-33
Open Access | Times Cited: 11
Fundamental Analysis via Machine Learning
Kai Cao, Haifeng You
Financial Analysts Journal (2024) Vol. 80, Iss. 2, pp. 74-98
Open Access | Times Cited: 4
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
Reprint of: Ex-ante expected changes in ESG and future stock returns based on machine learning
Hongtao Zhu, Md Jahidur Rahman
The British Accounting Review (2025), pp. 101563-101563
Closed Access
News in Financial Measures
Francesca Magli, Andrea Amaduzzi
(2025), pp. 45-127
Closed Access
Reprint of: Does mandating corporate social and environmental disclosure improve social and environmental performance?: Broad-based evidence regarding the effectiveness of directive 2014/95/EU
Charl de Villiers, John Dumay, Federica Farneti, et al.
The British Accounting Review (2025), pp. 101558-101558
Closed Access
Governance Factors Influencing Financial Performance in Cloud-Based Enterprises: A Machine Learning Analysis
Ziling Huang, Lichao Lin, Jia Xiaofei
Computational Economics (2025)
Closed Access
Machine learning and the prediction of changes in profitability
Stewart Jones, William J. Moser, Matthew M. Wieland
Contemporary Accounting Research (2023) Vol. 40, Iss. 4, pp. 2643-2672
Open Access | Times Cited: 9
Frequent Errors in Modeling by Machine Learning: A Prototype Case of Predicting the Timely Evolution of COVID-19 Pandemic
Károly Héberger
Algorithms (2024) Vol. 17, Iss. 1, pp. 43-43
Open Access | Times Cited: 3
Research on predicting the driving forces of digital transformation in Chinese media companies based on machine learning
Zhan Wang, Yao Li, Zhao Xu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top