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:

Financial crises and bank failures: A review of prediction methods
Yuliya Demyanyk, Iftekhar Hasan
Omega (2009) Vol. 38, Iss. 5, pp. 315-324
Open Access | Times Cited: 235

Showing 1-25 of 235 citing articles:

A systematic review of fundamental and technical analysis of stock market predictions
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 3007-3057
Closed Access | Times Cited: 399

Déjà Vu All Over Again: The Causes of U.S. Commercial Bank Failures This Time Around
Rebel A. Cole, Lawrence J. White
Journal of Financial Services Research (2011) Vol. 42, Iss. 1-2, pp. 5-29
Open Access | Times Cited: 392

Deep learning models for bankruptcy prediction using textual disclosures
Feng Mai, Shaonan Tian, Chihoon Lee, et al.
European Journal of Operational Research (2018) Vol. 274, Iss. 2, pp. 743-758
Closed Access | Times Cited: 356

Audit Reporting for Going-Concern Uncertainty: A Research Synthesis
Elizabeth Carson, Neil Fargher, Marshall A. Geiger, et al.
Auditing A Journal of Practice & Theory (2012) Vol. 32, Iss. Supplement 1, pp. 353-384
Closed Access | Times Cited: 336

Predicting distress in European banks
Frank Betz, Silviu Opricǎ, Tuomas A. Peltonen, et al.
Journal of Banking & Finance (2013) Vol. 45, pp. 225-241
Open Access | Times Cited: 247

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

The role of Environmental, Social, and Governance (ESG) in predicting bank financial distress
Alberto Citterio, Timothy King
Finance research letters (2022) Vol. 51, pp. 103411-103411
Open Access | Times Cited: 94

A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping
Omar F. Althuwaynee, Biswajeet Pradhan, Hyuck‐Jin Park, et al.
Landslides (2014) Vol. 11, Iss. 6, pp. 1063-1078
Open Access | Times Cited: 171

Developing an early warning system to predict currency crises
Cüneyt Sevim, Asil Oztekin, Özkan Bali, et al.
European Journal of Operational Research (2014) Vol. 237, Iss. 3, pp. 1095-1104
Closed Access | Times Cited: 139

Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014)
José Willer do Prado, Valderí de Castro Alcântara, Francisval de Melo Carvalho, et al.
Scientometrics (2016) Vol. 106, Iss. 3, pp. 1007-1029
Closed Access | Times Cited: 131

Partial Least Square Discriminant Analysis for bankruptcy prediction
Carlos Serrano‐Cinca, Begoña Gutiérrez Nieto
Decision Support Systems (2012) Vol. 54, Iss. 3, pp. 1245-1255
Closed Access | Times Cited: 130

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: 130

Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises
Francesco Ciampi, N Gordini
Journal of Small Business Management (2012) Vol. 51, Iss. 1, pp. 23-45
Closed Access | Times Cited: 125

Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios
Hong Hanh Le, Jean-Laurent Viviani
Research in International Business and Finance (2017) Vol. 44, pp. 16-25
Closed Access | Times Cited: 125

A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
Omar F. Althuwaynee, Biswajeet Pradhan, Saro Lee
International Journal of Remote Sensing (2016) Vol. 37, Iss. 5, pp. 1190-1209
Open Access | Times Cited: 116

Predicting bank insolvencies using machine learning techniques
Αναστάσιος Πετρόπουλος, Vasileios Siakoulis, Evangelos Stavroulakis, et al.
International Journal of Forecasting (2020) Vol. 36, Iss. 3, pp. 1092-1113
Closed Access | Times Cited: 109

Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels
Bangzhu Zhu, Shunxin Ye, Ping Wang, et al.
Journal of Forecasting (2021) Vol. 41, Iss. 1, pp. 100-117
Closed Access | Times Cited: 91

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

Assessing the US financial sector post three bank collapses: Signals from fintech and financial sector ETFs
Ameet Kumar Banerjee, H. K. Pradhan, Ahmet Şensoy, et al.
International Review of Financial Analysis (2023) Vol. 91, pp. 102995-102995
Closed Access | Times Cited: 31

Bank failure prediction models: Review and outlook
Alberto Citterio
Socio-Economic Planning Sciences (2024) Vol. 92, pp. 101818-101818
Open Access | Times Cited: 12

DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment
I. M. Premachandra, Yao Chen, John Watson
Omega (2011) Vol. 39, Iss. 6, pp. 620-626
Closed Access | Times Cited: 105

Mapping the state of financial stability
Peter Sarlin, Tuomas A. Peltonen
Journal of International Financial Markets Institutions and Money (2013) Vol. 26, pp. 46-76
Open Access | Times Cited: 84

Nonlinear manifold learning for early warnings in financial markets
Yan Huang, Gang Kou, Yi Peng
European Journal of Operational Research (2016) Vol. 258, Iss. 2, pp. 692-702
Open Access | Times Cited: 82

Probability of default and efficiency in cooperative banking
Franco Fiordelisi, Davide Salvatore Mare
Journal of International Financial Markets Institutions and Money (2013) Vol. 26, pp. 30-45
Open Access | Times Cited: 80

Prediction of bankruptcy using support vector machines: an application to bank bankruptcy
Birsen Eygi Erdoğan
Journal of Statistical Computation and Simulation (2012) Vol. 83, Iss. 8, pp. 1543-1555
Closed Access | Times Cited: 76

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