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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:

An efficient and functional model for predicting bank distress: In and out of sample evidence
Sean Cleary, Greg Hebb
Journal of Banking & Finance (2015) Vol. 64, pp. 101-111
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Predicting failure in the U.S. banking sector: An extreme gradient boosting approach
Pedro Carmona, Francisco Climent, Alexandre Momparler
International Review of Economics & Finance (2018) Vol. 61, pp. 304-323
Closed Access | Times Cited: 239
Financial distress prediction using integrated Z-score and multilayer perceptron neural networks
Desheng Wu, Xiyuan Ma, David L. Olson
Decision Support Systems (2022) Vol. 159, pp. 113814-113814
Open Access | Times Cited: 74
Anticipating bank distress in the Eurozone: An Extreme Gradient Boosting approach
Francisco Climent, Alexandre Momparler, Pedro Carmona
Journal of Business Research (2018) Vol. 101, pp. 885-896
Closed Access | Times Cited: 129
Forecasting bank failures and stress testing: A machine learning approach
Periklis Gogas, Théophilos Papadimitriou, Άννα Αγραπετίδου
International Journal of Forecasting (2018) Vol. 34, Iss. 3, pp. 440-455
Closed Access | Times Cited: 90
Bank failure prediction models: Review and outlook
Alberto Citterio
Socio-Economic Planning Sciences (2024) Vol. 92, pp. 101818-101818
Open Access | Times Cited: 11
The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation
Mohammad Mahdi Mousavi, Jilei Lin
Expert Systems with Applications (2020) Vol. 159, pp. 113438-113438
Closed Access | Times Cited: 66
Do Islamic banks fail more than conventional banks?
Maha Alandejani, Ali M. Kutan, Nahla Samargandi
Journal of International Financial Markets Institutions and Money (2017) Vol. 50, pp. 135-155
Closed Access | Times Cited: 63
The moderating role of capital on the relationship between bank liquidity creation and failure risk
Chen Zheng, Adrian Cheung, Tom Cronjé
Journal of Banking & Finance (2019) Vol. 108, pp. 105651-105651
Closed Access | Times Cited: 62
Predicting U.S. bank failures and stress testing with machine learning algorithms
W. C. Hu, Chunli Shao, W. Zhang
Finance research letters (2025), pp. 106802-106802
Closed Access
Predicting Firms’ Financial Distress: An Empirical Analysis Using the F-Score Model
Mahfuzur Rahman, Cheong Li, Md. Abdul Kaium Masud
Journal of risk and financial management (2021) Vol. 14, Iss. 5, pp. 199-199
Open Access | Times Cited: 30
Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions
Mohammad Mahdi Mousavi, Jamal Ouenniche
Annals of Operations Research (2018) Vol. 271, Iss. 2, pp. 853-886
Open Access | Times Cited: 31
Bankruptcy Prediction and Stress Quantification Using Support Vector Machine: Evidence from Indian Banks
Santosh Kumar Shrivastav, P. Janaki Ramudu
Risks (2020) Vol. 8, Iss. 2, pp. 52-52
Open Access | Times Cited: 24
Predicting bank inactivity: A comparative analysis of machine learning techniques for imbalanced data
Ali Ben Mrad, Amine Lahiani, Salma Mefteh‐Wali, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 2
Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research
Li Xian Liu, Shuangzhe Liu, Milind Sathye
Journal of risk and financial management (2021) Vol. 14, Iss. 10, pp. 474-474
Open Access | Times Cited: 17
Institutional Shareholders and Bank Capital
Alexandre Garel, Arthur Petit-Romec, Rudi Vander Vennet
Journal of Financial Intermediation (2022) Vol. 50, pp. 100960-100960
Closed Access | Times Cited: 12
Predictors of bank distress: The 1907 crisis in Sweden
Anna Grodecka‐Messi, Seán Kenny, Anders Ögren
Explorations in Economic History (2020) Vol. 80, pp. 101380-101380
Open Access | Times Cited: 15
Early Warning of Bank Failure in the Arab Region: A Logit Regression Approach
Rami Obeid
Asian Journal of Economics and Empirical Research (2022) Vol. 9, Iss. 2, pp. 91-99
Open Access | Times Cited: 9
Financial distress in Brazilian banks: an early warning model,
P. S. Rosa, Ivan Ricardo Gartner
Revista Contabilidade & Finanças (2017) Vol. 29, Iss. 77, pp. 312-331
Open Access | Times Cited: 15
The resilience of the U.S. banking system
Théophilos Papadimitriou, Periklis Gogas, Άννα Αγραπετίδου
International Journal of Finance & Economics (2020) Vol. 27, Iss. 3, pp. 2819-2835
Closed Access | Times Cited: 12
Credit expansion, leverage, and banking distress: the puzzle of interwar Italy
Marco Molteni
European Review of Economic History (2023) Vol. 28, Iss. 1, pp. 1-27
Open Access | Times Cited: 4
Prediction of corporate financial distress based on corporate social responsibility: New evidence from DANP, VWP and MEOWA weights methodologies
H. -N. Li, Ting Sun, Jinquan Zhang
Accounting and Finance (2024)
Closed Access | Times Cited: 1
Fall of dwarfs: Micro and macroeconomic determinants of the disappearance of European small banks
Federica Poli, Simone Rossi, Mariarosa Borroni
Journal of International Financial Markets Institutions and Money (2024) Vol. 96, pp. 102042-102042
Open Access | Times Cited: 1
Bank Stability and Competition: Evidence from Albanian Banking Market
Gerti Shijaku
Eurasian Journal of Business and Economics (2017) Vol. 10, Iss. 19, pp. 127-154
Open Access | Times Cited: 11
A dynamic performance evaluation of distress prediction models
Mohammad Mahdi Mousavi, Jamal Ouenniche, Kaoru Tone
Journal of Forecasting (2022) Vol. 42, Iss. 4, pp. 756-784
Open Access | Times Cited: 6
Machine learning methods for predicting failures of US commercial bank
Le Quoc Tuan, Chih‐Yung Lin, Huei-Wen Teng
Applied Economics Letters (2023) Vol. 31, Iss. 15, pp. 1353-1359
Closed Access | Times Cited: 3
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