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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:

Dynamic Bankruptcy Prediction Models for European Enterprises
Tomasz Korol
Journal of risk and financial management (2019) Vol. 12, Iss. 4, pp. 185-185
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Identifying Symptoms of Bankruptcy Risk Based on Bankruptcy Prediction Models—A Case Study of Poland
Jerzy Kitowski, Anna Kowal, Wojciech Lichota
Sustainability (2022) Vol. 14, Iss. 3, pp. 1416-1416
Open Access | Times Cited: 28
Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries
Katarína Valašková, Dominika Gajdosikova, Jaroslav Belás
Oeconomia Copernicana (2023) Vol. 14, Iss. 1, pp. 253-293
Open Access | Times Cited: 19
Financial Compass for Slovak Enterprises: Modeling Economic Stability of Agricultural Entities
Katarína Valašková, Pavol Ďurana, Peter Adamko, et al.
Journal of risk and financial management (2020) Vol. 13, Iss. 5, pp. 92-92
Open Access | Times Cited: 47
Artificial intelligence in predicting the bankruptcy of non-financial corporations
Beata Gavurová, Sylvia Jenčová, Radovan Bačík, et al.
Oeconomia Copernicana (2022) Vol. 13, Iss. 4, pp. 1215-1251
Open Access | Times Cited: 22
Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques
Yu-Cheng Lin, Roni Padliansyah, Yu‐Hsin Lu, et al.
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100744-100744
Closed Access
On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates
Louisa Muparuri, Victor Gumbo
Sustainability Analytics and Modeling (2022) Vol. 2, pp. 100006-100006
Open Access | Times Cited: 16
Bankruptcy Prediction for Micro and Small Enterprises Using Financial, Non-Financial, Business Sector and Macroeconomic Variables: The Case of the Lithuanian Construction Sector
Rasa Kanapickienė, Tomas Kanapickas, Audrius Nečiūnas
Risks (2023) Vol. 11, Iss. 5, pp. 97-97
Open Access | Times Cited: 10
Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models
Dawen Yan, Guotai Chi, Kin Keung Lai
Mathematics (2020) Vol. 8, Iss. 8, pp. 1275-1275
Open Access | Times Cited: 24
Bankruptcy Prediction Models Based on Value Measures
Andrzej Jaki, Wojciech Ćwięk
Journal of risk and financial management (2020) Vol. 14, Iss. 1, pp. 6-6
Open Access | Times Cited: 23
Is Artificial Intelligence Really More Accurate in Predicting Bankruptcy?
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová
International Journal of Financial Studies (2024) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 2
Do key audit matters signal corporate bankruptcy?
Mahmoud Elmarzouky, Khaled Hussainey, Tarek Abdelfattah
Journal of Accounting and Management Information Systems (2022) Vol. 21, Iss. 3
Open Access | Times Cited: 10
Predicting bankruptcy using artificial intelligence: The case of the engineering industry
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová, et al.
Economics & Sociology (2023) Vol. 16, Iss. 4, pp. 178-190
Open Access | Times Cited: 5
Construction of bankruptcy prediction model using discriminant analysis and financial ratios
Denis Kušter
Ekonomija teorija i praksa (2023) Vol. 16, Iss. 1, pp. 1-22
Open Access | Times Cited: 4
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
Early Insolvency Prediction as a Key for Sustainable Business Growth
Denis Kušter, Bojana Vuković, Sunčica Milutinović, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15304-15304
Open Access | Times Cited: 4
The impact of social media discourse on financial performance of e-commerce companies listed on Borsa Istanbul
Larissa M. Batrancea, Mehmet Ali Balcı, Ömer Akgüller, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Forecasting Financial Distress for Organizational Sustainability: An Empirical Analysis
Soumya Ranjan Sethi, Dushyant Mahadik
Sustainable Futures (2024), pp. 100429-100429
Open Access | Times Cited: 1
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks
Yu Zhao, Shaopeng Wei, Yu Guo, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 7
MACHINE LEARNING IN BANKRUPTCY PREDICTION – A REVIEW
Claudiu Clement
Journal of Public Administration Finance and Law (2020), Iss. 17, pp. 178-196
Closed Access | Times Cited: 9
A state-of-the-art appraisal of bankruptcy prediction models focussing on the field’s core authors: 2010–2022
Ivan Soukal, Jan Mačí, Gabriela Trnková, et al.
Central European Management Journal (2023) Vol. 32, Iss. 1, pp. 3-30
Open Access | Times Cited: 3
Domain Knowledge Features versus LASSO Features in Predicting Risk of Corporate Bankruptcy—DEA Approach
Martina Mokrišová, Jarmila Horváthová
Risks (2023) Vol. 11, Iss. 11, pp. 199-199
Open Access | Times Cited: 3
Artificial neural network and decision tree-based modelling of non-prosperity of companies
Marek Ďurica, Jaroslav Frnda, Lucia Švábová
Equilibrium Quarterly Journal of Economics and Economic Policy (2023) Vol. 18, Iss. 4, pp. 1105-1131
Open Access | Times Cited: 3
THE RISK OF FINANCIAL DISTRESS IN THE ERA OF INDUSTRY 4.0 IN CENTRAL EUROPEAN ECONOMIES. IMPACT OF INDUSTRY AND CORPORATE LIFE CYCLE
Lucia Michalkova
Ekonomicko-manazerske spektrum (2023) Vol. 17, Iss. 1, pp. 76-86
Open Access | Times Cited: 2
Bankruptcy Prediction for Sustainability of Businesses: The Application of Graph Theoretical Modeling
Jarmila Horváthová, Martina Mokrišová, Martin Bača
Mathematics (2023) Vol. 11, Iss. 24, pp. 4966-4966
Open Access | Times Cited: 2
Ratio Selection between Six Sectors in the Visegrad Group Using Parametric and Nonparametric ANOVA
Sebastian Klaudiusz Tomczak
Energies (2021) Vol. 14, Iss. 21, pp. 7120-7120
Open Access | Times Cited: 5
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