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:

An application of machine learning on corporate tax avoidance detection model
Rahayu Abdul Rahman, Suraya Masrom, Normah Omar, et al.
IAES International Journal of Artificial Intelligence (2020) Vol. 9, Iss. 4, pp. 721-721
Open Access | Times Cited: 11

Showing 11 citing articles:

A Survey of Tax Risk Detection Using Data Mining Techniques
Qinghua Zheng, Yiming Xu, Huixiang Liu, et al.
Engineering (2023) Vol. 34, pp. 43-59
Open Access | Times Cited: 12

Auditor Choice Prediction Model Using Corporate Governance and Ownership Attributes: Machine Learning Approach
Rahayu Abdul Rahman, Suraya Masrom, Nor Balkish Zakaria, et al.
International Journal of Emerging Technology and Advanced Engineering (2021) Vol. 11, Iss. 7, pp. 87-94
Open Access | Times Cited: 15

Machine learning with task-technology fit theory factors for predicting students’ adoption in video-based learning
Suraya Masrom, Rahayu Abdul Rahman, Norhayati Baharun, et al.
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 3, pp. 1666-1673
Open Access | Times Cited: 3

Prediction of Earnings Manipulation on Malaysian Listed Firms: A Comparison between Linear and Tree-based Machine Learning
Rahayu Abdul Rahman, Suraya Masrom, Nor Balkish Zakaria, et al.
International Journal of Emerging Technology and Advanced Engineering (2021) Vol. 11, Iss. 8, pp. 111-120
Open Access | Times Cited: 6

Application of Machine Learning in Taxation: A Systematic Literature Review
Desy Jayanti, Selo Sulistyo, Paulus Insap Santosa
(2024), pp. 687-691
Closed Access

A Study on the Construction of an Intelligent Prediction Model for Corporate Tax Risk
Zhen Chen
Frontiers in artificial intelligence and applications (2024)
Open Access

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

Forecasting Tax Risk by Machine Learning: Case of Firms in Ho Chi Minh City
Nguyen Anh Phong, Phan Huy Tam, Le Quoc Cuong
Frontiers in artificial intelligence and applications (2022)
Open Access

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