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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:

Machine-learning models for bankruptcy prediction: do industrial variables matter?
Daniela Bragoli, Camilla Ferretti, Piero Ganugi, et al.
Spatial Economic Analysis (2021) Vol. 17, Iss. 2, pp. 156-177
Closed Access | Times Cited: 24

Showing 24 citing articles:

Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
Manel Hamdi, Sami Mestiri, Adnène Arbi
Journal of risk and financial management (2024) Vol. 17, Iss. 4, pp. 132-132
Open Access | Times Cited: 8
Impacts of crisis on SME bankruptcy prediction models’ performance
Mário Papík, Lenka Papíková
Expert Systems with Applications (2022) Vol. 214, pp. 119072-119072
Closed Access | Times Cited: 33
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
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
A machine learning and ANOVA-based approach to model financial predictors for corporate failure in imbalanced dataset: The case of Taiwan
Borislava Toleva, Ivan Ivanov, Vincent J. Hooper
Journal of Infrastructure Policy and Development (2025) Vol. 9, Iss. 1, pp. 10072-10072
Open Access
The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia
Mário Papík, Lenka Papíková
Technological Forecasting and Social Change (2025) Vol. 215, pp. 124098-124098
Open Access
Financial ratios as indicators in bankruptcy prediction: A comparative analysis of statistical and machine learning models
Thu Hien Bui, Thị Thùy Dương Trương, Thi Phuong Thao Tran
Research Square (Research Square) (2025)
Closed Access
Risk Analysis of Bankruptcy in the U.S. Healthcare Industries Based on Financial Ratios: A Machine Learning Analysis
Hadi Gholampoor, Majid Asadi
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 2, pp. 1303-1320
Open Access | Times Cited: 3
Predicting firm performance and size using machine learning with a Bayesian perspective
Debdatta Saha, Timothy M. Young, Jessica Thacker
Machine Learning with Applications (2023) Vol. 11, pp. 100453-100453
Open Access | Times Cited: 8
Prediction of digital transformation of manufacturing industry based on interpretable machine learning
Chen Zhu, Xue Liu, Dong Chen
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299147-e0299147
Open Access | Times Cited: 2
Personal bankruptcy prediction using machine learning techniques
Magdalena Brygała, Tomasz Korol
Economics and Business Review/˜The œPoznań University of Economics Review (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 2
Fundamental predictors of price bubbles in precious metals: a machine learning analysis
Sinem Güler Kangallı Uyar, Umut Uyar, Emrah Balkan
Mineral Economics (2023) Vol. 37, Iss. 1, pp. 65-87
Closed Access | Times Cited: 5
The Power of Numerical Indicators in Predicting Bankruptcy: A Systematic Review
Dimitrios Billios, Dimitra Seretidou, Antonios Stavropoulos
Journal of risk and financial management (2024) Vol. 17, Iss. 10, pp. 433-433
Open Access | Times Cited: 1
Unveiling Bankruptcy Risk Through Advanced Data Analysis and Machine Learning Techniques
Prasun Payne, Rohi Velgina Romould, Mahendra Kumar Gourisaria, et al.
(2024), pp. 1-6
Closed Access
6th International Conference on Advanced Research Methods and Analytics - CARMA 2024

(2024)
Open Access
A Multi-Stage Machine Learning Based Approach for Predicting Bankruptcy in Microfinance Institutions
Tushar M. Bhuwad, K.S. Ranjani, Vijaya Kumar Manupati
(2024)
Closed Access
Predicting Corporate Bankruptcy Using Machine Learning Models
Mykola Zlobin, Volodymyr Bazylevych
Lecture notes in networks and systems (2024), pp. 130-144
Closed Access
A Financial Distress Prediction using a Non-stationary Dataset
R. Chaves, André Luis Debiaso Rossi, Luís P. F. Garcia
(2023), pp. 300-314
Open Access | Times Cited: 1
Security Warning Model of Chinese Corporate Bond Defaults Based on Deep Neural Networks
Lan Bo, Weiwei Zhang, Chen Chen, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 2
Raising the bar (20)
J. Paul Elhorst, Maria Abreu, Pedro Amaral, et al.
Spatial Economic Analysis (2022) Vol. 17, Iss. 2, pp. 151-155
Open Access | Times Cited: 1
Application of intellectual capital in SME bankruptcy
Lenka Papíková, Mário Papík
Applied Economics (2023) Vol. 56, Iss. 55, pp. 7317-7338
Closed Access
Ensemble Machine Learning Based Boosting Approach for Non-Performing Loan (Npl) Prediction with Explainability
Md Zahidul Islam, Sheikh Md. Razibul Hasan Raj, Mahmudul Hasan Shakil, et al.
(2023)
Closed Access
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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