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:
How Useful Are Tax Disclosures in Predicting Effective Tax Rates? A Machine Learning Approach
David A. Guenther, Kyle Peterson, J. Searcy, et al.
The Accounting Review (2023) Vol. 98, Iss. 5, pp. 297-322
Closed Access | Times Cited: 11
David A. Guenther, Kyle Peterson, J. Searcy, et al.
The Accounting Review (2023) Vol. 98, Iss. 5, pp. 297-322
Closed Access | Times Cited: 11
Showing 11 citing articles:
Application of Interpretable Artificial Intelligence for Sustainable Tax Management in the Manufacturing Industry
Ning Han, Wen Xu, Song Qian, et al.
Sustainability (2025) Vol. 17, Iss. 3, pp. 1121-1121
Open Access
Ning Han, Wen Xu, Song Qian, et al.
Sustainability (2025) Vol. 17, Iss. 3, pp. 1121-1121
Open Access
Voluntary Tax Forecasts as a Signal of Future Firm Performance
Erik Beardsley, Yifei Huang, Stefan Richter, et al.
SSRN Electronic Journal (2025)
Closed Access
Erik Beardsley, Yifei Huang, Stefan Richter, et al.
SSRN Electronic Journal (2025)
Closed Access
Using Narrative Disclosures to Predict Tax Outcomes
Olga Bogachek, Antonio De Vito, Paul Demeré, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 5
Olga Bogachek, Antonio De Vito, Paul Demeré, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 5
How Does Artificial Intelligence Affect Managers’ Assessment of Tax Risk?
Trent Krupa, Michele Mullaney
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Trent Krupa, Michele Mullaney
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
The Effects of Tax Reform on Labor Demand within Tax Departments
Henning Giese, Dan Lynch, Kim Alina Schulz, et al.
(2024)
Closed Access | Times Cited: 1
Henning Giese, Dan Lynch, Kim Alina Schulz, et al.
(2024)
Closed Access | Times Cited: 1
Does the Story Matter? Putting Financial Statement Numbers into Context using XBRL Data
Carly Burd, Elisa Casi-Eberhard, Petro Lisowsky
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 6
Carly Burd, Elisa Casi-Eberhard, Petro Lisowsky
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 6
Does the Story Matter? Putting Financial Statement Numbers into Context using XBRL Data
Carly Burd, Elisa Casi-Eberhard, Petro Lisowsky
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 4
Carly Burd, Elisa Casi-Eberhard, Petro Lisowsky
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 4
A prediction model to detect non-compliant taxpayers using a supervised machine learning approach: evidence from Tunisia
Anas Kamoun, Rahma Boujelbane, Saoussen Boujelben
Journal of Business Analytics (2024), pp. 1-18
Closed Access
Anas Kamoun, Rahma Boujelbane, Saoussen Boujelben
Journal of Business Analytics (2024), pp. 1-18
Closed Access
Understanding the complexities of the fine structure of interest rates: a Wasserstein barycenter learning approach
Carlo Mari, Cristiano Baldassari
Neural Computing and Applications (2024) Vol. 36, Iss. 31, pp. 19291-19305
Closed Access
Carlo Mari, Cristiano Baldassari
Neural Computing and Applications (2024) Vol. 36, Iss. 31, pp. 19291-19305
Closed Access
Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations
Charles Swenson
Forecasting (2024) Vol. 6, Iss. 4, pp. 968-984
Open Access
Charles Swenson
Forecasting (2024) Vol. 6, Iss. 4, pp. 968-984
Open Access
