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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:

Two‐stage hybrid learning techniques for bankruptcy prediction*
Chih‐Fong Tsai
Statistical Analysis and Data Mining The ASA Data Science Journal (2020) Vol. 13, Iss. 6, pp. 565-572
Closed Access | Times Cited: 14

Showing 14 citing articles:

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
Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset
Ummey Hany Ainan, Lip Yee Por, Yen‐Lin Chen, et al.
IEEE Access (2024) Vol. 12, pp. 9369-9381
Open Access | Times Cited: 3
Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis
Kaoutar El Madou, Said Marso, Moad El Kharrim, et al.
Expert Systems (2023) Vol. 41, Iss. 2
Closed Access | Times Cited: 8
Tri-XGBoost model improved by BLSmote-ENN: an interpretable semi-supervised approach for addressing bankruptcy prediction
Salima Smiti, Makram Soui, Khaled Ghédira
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 3883-3920
Closed Access | Times Cited: 2
Bankruptcy Prediction using Diverse Machine Learning Algorithms
Ahmad Hassan, Nazish Yousaf
(2022), pp. 106-111
Closed Access | Times Cited: 5
High-dimensional Data from Financial Statements for a Bankruptcy Prediction Model
Gianluca Gabrielli, Andrea Melioli, Flavio Bertini
(2023), pp. 1-7
Closed 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
Intelligent Model for Enhancing the Bankruptcy Prediction with Imbalanced Data Using Oversampling and CatBoost
Samar Aly, Marco Alfonse, Abdel-Badeeh M. Salem
International journal of intelligent computing and information sciences/International Journal of Intelligent Computing and Information Sciences (2022), pp. 1-17
Open Access | Times Cited: 4
Towards AI Dashboards in Financial Services: Design and Implementation of an AI Development Dashboard for Credit Assessment
Mustafa Pamuk, Matthias Schümann
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1720-1761
Open Access
Web-Based Heart Disease Prediction by Comparison and Implementation of SVM, AdaBoost, and Hybrid SVM-AdaBoost Algorithms
Muhammad Hilman Fadly, Monika Evelin Johan
(2023), pp. 257-262
Closed Access | Times Cited: 1
Predicting Bankruptcy and Suggesting Improvements on Financial Attributes using Machine Learning Models
Jay Shah, Bhargav Rao, Yash Mehta, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 807-812
Closed Access | Times Cited: 1
Stock Price Ranking by Learning Pairwise Preferences
Engin Taş, Ayca Hatice Atli
Computational Economics (2022) Vol. 63, Iss. 2, pp. 513-528
Closed Access | Times Cited: 1
Un análisis bibliométrico de la predicción de quiebra empresarial con Machine Learning
Yuly Andrea Franco
ODEON (2023), Iss. 22, pp. 87-126
Open Access
Machine Learning Techniques in Bankruptcy Prediction: A Systematic Literature Review
Απόστολος Δασίλας, Anna Rigani
(2023)
Closed Access
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