Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 90 citing articles:

Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis
Yanan Zhang, Renjing Liu, Ali Asghar Heidari, et al.
Neurocomputing (2020) Vol. 430, pp. 185-212
Closed Access | Times Cited: 247
Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 112
Operational research and artificial intelligence methods in banking
Michael Doumpos, Constantin Zopounidis, Dimitrios Gounopoulos, et al.
European Journal of Operational Research (2022) Vol. 306, Iss. 1, pp. 1-16
Open Access | Times Cited: 98
Machine learning as an early warning system to predict financial crisis
Aristeidis Samitas, Ilias Kampouris, Dimitris Kenourgios
International Review of Financial Analysis (2020) Vol. 71, pp. 101507-101507
Closed Access | Times Cited: 122
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
EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks
Tamás Kristóf, Miklós Virág
Research in International Business and Finance (2022) Vol. 61, pp. 101644-101644
Open Access | Times Cited: 39
The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China
Benyan Tan, Ziqi Gan, Wu Yan
Expert Systems with Applications (2023) Vol. 227, pp. 120375-120375
Open Access | Times Cited: 24
Bank failure prediction models: Review and outlook
Alberto Citterio
Socio-Economic Planning Sciences (2024) Vol. 92, pp. 101818-101818
Open Access | Times Cited: 12
An ordinal classification framework for bank failure prediction: Methodology and empirical evidence for US banks
Georgios Manthoulis, Michael Doumpos, Constantin Zopounidis, et al.
European Journal of Operational Research (2019) Vol. 282, Iss. 2, pp. 786-801
Closed Access | Times Cited: 58
Systemic risk prediction using machine learning: Does network connectedness help prediction?
Gang‐Jin Wang, Yan Chen, You Zhu, et al.
International Review of Financial Analysis (2024) Vol. 93, pp. 103147-103147
Closed Access | Times Cited: 7
Integration of RNN with GARCH refined by whale optimization algorithm for yield forecasting: a hybrid machine learning approach
P. Murali, R. Revathy, S. Balamurali, et al.
Journal of Ambient Intelligence and Humanized Computing (2020)
Closed Access | Times Cited: 37
A two‐stage Bayesian network model for corporate bankruptcy prediction
Yi Cao, Xiaoquan Liu, Jia Zhai, et al.
International Journal of Finance & Economics (2020) Vol. 27, Iss. 1, pp. 455-472
Open Access | Times Cited: 34
Machine Learning Applied to Banking Supervision a Literature Review
Pedro Guerra, Mauro Castelli
Risks (2021) Vol. 9, Iss. 7, pp. 136-136
Open Access | Times Cited: 31
Assessing the performance of banks through an improved sigma-mu multicriteria analysis approach
Silvia Angilella, Michael Doumpos, Maria Rosaria Pappalardo, et al.
Omega (2024) Vol. 127, pp. 103099-103099
Open Access | Times Cited: 4
On modeling acquirer delisting post-merger using machine learning techniques
Ephraim Kwashie Thompson, Changki Kim, So-Yeun Kim
Journal of Management Analytics (2024) Vol. 11, Iss. 2, pp. 247-275
Closed Access | Times Cited: 4
Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework
Ruize Gao, Shaoze Cui, Yu Wang, et al.
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
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 U.S. Bank Failures with MIDAS Logit Models
Francesco Audrino, Alexander Kostrov, Juan‐Pablo Ortega
Journal of Financial and Quantitative Analysis (2018) Vol. 54, Iss. 6, pp. 2575-2603
Open Access | Times Cited: 36
Selection of the Right Undergraduate Major by Students Using Supervised Learning Techniques
Alhuseen Omar Alsayed, Mohd Shafry Mohd Rahim, Ibrahim Albidewi, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10639-10639
Open Access | Times Cited: 27
Influence of earnings management on forecasting corporate failure
David Veganzones, Éric Séverin, Souhir Chlibi
International Journal of Forecasting (2021) Vol. 39, Iss. 1, pp. 123-143
Open Access | Times Cited: 25
Economic system forecasting based on temporal fusion transformers: Multi-dimensional evaluation and cross-model comparative analysis
Yang Han, Ying Tian, Liangliang Yu, et al.
Neurocomputing (2023) Vol. 552, pp. 126500-126500
Closed Access | Times Cited: 10
An AutoML application to forecasting bank failures
Άννα Αγραπετίδου, Paulos Charonyktakis, Periklis Gogas, et al.
Applied Economics Letters (2020) Vol. 28, Iss. 1, pp. 5-9
Closed Access | Times Cited: 26
Operational Research and Artificial Intelligence Methods in Banking
Michael Doumpos, C. Zopounidis, Dimitrios Gounopoulos, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 16
Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control
Shuangshuang Fan, Yanbo Shen, Shengnan Peng
Complexity (2020) Vol. 2020, pp. 1-14
Open Access | Times Cited: 21
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: 18
Page 1 - Next Page

Scroll to top