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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:

Interpretable Multiclass Models for Corporate Credit Rating Capable of Expressing Doubt
Lennart Obermann, Stephan Waack
Frontiers in Applied Mathematics and Statistics (2016) Vol. 2
Open Access | Times Cited: 11

Showing 11 citing articles:

Explainable artificial intelligence (XAI) in finance: a systematic literature review
Jurgita Černevičienė, Audrius Kabašinskas
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 14
Boxer: Interactive Comparison of Classifier Results
Michael Gleicher, Aditya Barve, Xinyi Yu, et al.
Computer Graphics Forum (2020) Vol. 39, Iss. 3, pp. 181-193
Open Access | Times Cited: 30
A sparsity algorithm for finding optimal counterfactual explanations: Application to corporate credit rating
Dan Wang, Zhi Chen, Ionuţ Florescu, et al.
Research in International Business and Finance (2023) Vol. 64, pp. 101869-101869
Closed Access | Times Cited: 5
Opening a New Era with Machine Learning in Financial Services? Forecasting Corporate Credit Ratings Based on Annual Financial Statements
Mustafa Pamuk, Matthias Schümann
International Journal of Financial Studies (2023) Vol. 11, Iss. 3, pp. 96-96
Open Access | Times Cited: 4
Enhancing financial risk prediction with symbolic classifiers: addressing class imbalance and the accuracy–interpretability trade–off
Luis J. Mena, Vicente García, Vanessa G. Félix, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Explainable Machine Learning Models of Consumer Credit Risk
Randall Davis, Andrew W. Lo, Sudhanshu Mishra, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 7
Generalized additive model with embedded variable selection for bankruptcy prediction: Prediction versus interpretation
Carlos Valencia, Sergio Cabrales, Laura Garcia, et al.
Cogent Economics & Finance (2019) Vol. 7, Iss. 1, pp. 1597956-1597956
Open Access | Times Cited: 9
Interpretable Binary and Multiclass Prediction Models for Insolvencies and Credit Ratings
Lennart Obermann
(2016)
Open Access | Times Cited: 1
Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies
J.A. Fdez-Sánchez, José Daniel Pascual-Triana, Alberto Fernández, et al.
Neurocomputing (2021) Vol. 463, pp. 514-524
Closed Access | Times Cited: 2
Boxer: Interactive Comparison of Classifier Results
Michael Gleicher, Aditya Barve, Xinyi Yu, et al.
arXiv (Cornell University) (2020)
Closed Access
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