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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:

Corporate Default Predictions Using Machine Learning: Literature Review
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Sustainability (2020) Vol. 12, Iss. 16, pp. 6325-6325
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Computational Economics (2021) Vol. 59, Iss. 3, pp. 1231-1249
Closed Access | Times Cited: 63
Big data analytics for default prediction using graph theory
Mustafa Yıldırım, Feyza Yıldırım Okay, Suat Özdemır
Expert Systems with Applications (2021) Vol. 176, pp. 114840-114840
Closed Access | Times Cited: 53
Machine Learning for Bankruptcy Prediction in the American Stock Market: Dataset and Benchmarks
Gianfranco Lombardo, Mattia Pellegrino, George Adosoglou, et al.
Future Internet (2022) Vol. 14, Iss. 8, pp. 244-244
Open Access | Times Cited: 33
Corporate governance and financial distress: lessons learned from an unconventional approach
Alberto Tron, Maurizio Dallocchio, Salvatore Ferri, et al.
Journal of Management & Governance (2022) Vol. 27, Iss. 2, pp. 425-456
Open Access | Times Cited: 22
Machine learning techniques in bankruptcy prediction: A systematic literature review
Απόστολος Δασίλας, Anna Rigani
Expert Systems with Applications (2024) Vol. 255, pp. 124761-124761
Closed Access | Times Cited: 5
Comparing the Performance of Corporate Bankruptcy Prediction Models Based on Imbalanced Financial Data
Seol-Hyun Noh
Sustainability (2023) Vol. 15, Iss. 6, pp. 4794-4794
Open Access | Times Cited: 11
A Machine Learning-Based Early Warning System for the Housing and Stock Markets
Daehyeon Park, Doojin Ryu
IEEE Access (2021) Vol. 9, pp. 85566-85572
Open Access | Times Cited: 23
A review of the limitations of financial failure prediction research
Erkki K. Laitinen, María-del-Mar Camacho-Miñano, Nora Muñoz‐Izquierdo
Revista de Contabilidad (2023) Vol. 26, Iss. 2, pp. 255-273
Open Access | Times Cited: 8
Measuring financial soundness around the world: A machine learning approach
Alessandro Bitetto, Paola Cerchiello, Charilaos Mertzanis
International Review of Financial Analysis (2022) Vol. 85, pp. 102451-102451
Open Access | Times Cited: 13
A bibliographic overview of financial engineering in the emerging financial market
Jyoti Ranjan Jena, Saroj Kanta Biswal, Avinash K. Shrivastava, et al.
International Journal of Systems Assurance Engineering and Management (2023) Vol. 14, Iss. 6, pp. 2048-2065
Closed Access | Times Cited: 7
Cost of Explainability in AI: An Example with Credit Scoring Models
Jean Dessain, Nora Bentaleb, Fabien Vinas
Communications in computer and information science (2023), pp. 498-516
Open Access | Times Cited: 7
AI and the decision-making process: a literature review in healthcare, financial, and technology sectors
Imad Bani-Hani, Sadi Alawadi, Nadia Elmrayyan
Journal of Decision System (2024) Vol. 33, Iss. sup1, pp. 1321-1331
Closed Access | Times Cited: 2
Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction
María E. Pérez-Pons, Javier Parra-Domínguez, Guillermo Hernández, et al.
The Knowledge Engineering Review (2022) Vol. 37
Closed Access | Times Cited: 11
Harnessing Machine Learning for Classifying Economic Damage Trends in Transportation Infrastructure Projects
Junseo Bae, Sang‐Guk Yum, Ji-Myong Kim
Sustainability (2021) Vol. 13, Iss. 11, pp. 6376-6376
Open Access | Times Cited: 13
Determining of the Bankrupt Contingency as the Level Estimation Method of Western Ukraine Gas Distribution Enterprises’ Competence Capacity
Dariusz Sala, Kostiantyn Pavlov, Олена Павлова, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1642-1642
Open Access | Times Cited: 5
Towards a Machine Learning-based Model for Corporate Loan Default Prediction
Imane Rhzioual Berrada, Fatimazahra BARRAMOU, Omar Bachir Alami
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access | Times Cited: 1
A Bibliometric Analysis of Corporate Bankruptcy Prediction Research: Trends and Insights
Sakshi Sharma, Singh Bhag
Journal of Informatics Education and Research (2024)
Open Access | Times Cited: 1
Climate change and U.S. Corporate bond market activity: A machine learning approach
Charilaos Mertzanis, Ilias Kampouris, Aristeidis Samitas
Journal of International Money and Finance (2024), pp. 103259-103259
Closed Access | Times Cited: 1
Predictive insights: leveraging Twitter sentiments and machine learning for environmental, social and governance controversy prediction
Y. Lheureux
Journal of Computational Social Science (2023) Vol. 7, Iss. 1, pp. 23-44
Closed Access | Times Cited: 4
Differentially Private Logistic Regression with Sparse Solutions
Amol Khanna, Fred Lu, Edward Raff, et al.
(2023), pp. 1-9
Closed Access | Times Cited: 4
Corporate Bankruptcy Prediction Models: A Comparative Study for the Construction Sector in Greece
Kanellos Toudas, Stefanos Archontakis, Paraskevi Boufounou
Computation (2024) Vol. 12, Iss. 1, pp. 9-9
Open Access | Times Cited: 1
A Multi-head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data
Gianfranco Lombardo, Mattia Pellegrino, Stefano Cagnoni, et al.
(2024)
Open Access | Times Cited: 1
Credit Card Default Prediction Based on XGBoost
Xinyang Liu, S. Wang
(2024), pp. 374-382
Closed Access | Times Cited: 1
Technology-Driven Financial Risk Management: Exploring the Benefits of Machine Learning for Non-Profit Organizations
Hao Huang
Systems (2024) Vol. 12, Iss. 10, pp. 416-416
Open Access | Times Cited: 1
Predicting corporate defaults using machine learning with geometric-lag variables
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Investment Analysts Journal (2021) Vol. 50, Iss. 3, pp. 161-175
Closed Access | Times Cited: 10
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