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 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: 35

Showing 26-50 of 35 citing articles:

The bright side of controlling owners in emerging markets: the case of corporate fraud
Hao Gao, Jing He, Yuanyu Qu
Applied Economics (2024), pp. 1-19
Closed Access

Predicting green technology innovation in the construction field from a technology convergence perspective: A two-stage predictive approach based on interpretable machine learning
Shuai Feng, Guiwen Liu, Tianlong Shan, et al.
Journal of Environmental Management (2024) Vol. 372, pp. 123203-123203
Closed Access

A narrative analysis of the justifications and excuses of serious employee fraud offenders
Paul Andon, Clinton Free
Contemporary Accounting Research (2024)
Closed Access

Taking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud
Adrian Gepp, Kuldeep Kumar, Sukanto Bhattacharya
Accounting and Finance (2023) Vol. 64, Iss. 2, pp. 1569-1588
Open Access | Times Cited: 1

Kepribadian Serakah (Greed) sebagai Tantangan Etika dan Kepemimpinan dalam Profesi Akuntan Manajemen
Nurul Fitriani, Adib Minanurohman, Gery Lusiano Firmansah
Jurnal Bisnis dan Akuntansi (2022) Vol. 24, Iss. 2, pp. 295-304
Open Access | Times Cited: 1

Modelización de los factores que afectan al fraude fiscal con técnicas de minería de datos: aplicación al Impuesto de la Renta en España
César Pérez López, Delgado Rodríguez, Sonia de Lucas Santos
Revista Hacienda Pública Española (2023) Vol. 246, Iss. 3, pp. 137-164
Open Access

Environmental Standards and Stock Returns
William O. Brown, Xiaoli Gao, Yufeng Han, et al.
SSRN Electronic Journal (2022)
Closed Access

A Financial Forecast Method Based on Machine Learning
Tianyao Chen
2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) (2022), pp. 145-150
Closed Access

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