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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:

Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks
Félix J. López‐Iturriaga, Iván Pastor Sanz
Expert Systems with Applications (2014) Vol. 42, Iss. 6, pp. 2857-2869
Closed Access | Times Cited: 188

Showing 1-25 of 188 citing articles:

Machine learning models and bankruptcy prediction
Flávio Barboza, Herbert Kimura, Edward I. Altman
Expert Systems with Applications (2017) Vol. 83, pp. 405-417
Closed Access | Times Cited: 703
Artificial neural networks in business: Two decades of research
Michal Tkáč, Robert Verner
Applied Soft Computing (2015) Vol. 38, pp. 788-804
Closed Access | Times Cited: 322
Systematic review of bankruptcy prediction models: Towards a framework for tool selection
Hafiz Alaka, Lukumon O. Oyedele, Hakeem A. Owolabi, et al.
Expert Systems with Applications (2017) Vol. 94, pp. 164-184
Open Access | Times Cited: 277
CatBoost model and artificial intelligence techniques for corporate failure prediction
Sami Ben Jabeur, Cheima Gharib, Salma Mefteh‐Wali, et al.
Technological Forecasting and Social Change (2021) Vol. 166, pp. 120658-120658
Closed Access | Times Cited: 257
State Estimation for Static Neural Networks With Time-Varying Delays Based on an Improved Reciprocally Convex Inequality
Xian‐Ming Zhang, Qing‐Long Han
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 4, pp. 1376-1381
Closed Access | Times Cited: 228
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
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
Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction
Chih-Hsun Chou, Su-Chen Hsieh, Chui-Jie Qiu
Applied Soft Computing (2017) Vol. 56, pp. 298-316
Closed Access | Times Cited: 120
Research on financial early warning of mining listed companies based on BP neural network model
Xiaojun Sun, Yalin Lei
Resources Policy (2021) Vol. 73, pp. 102223-102223
Closed Access | Times Cited: 100
Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets
Martin Zoričák, Peter Gnip, Peter Drotár, et al.
Economic Modelling (2019) Vol. 84, pp. 165-176
Closed Access | Times Cited: 95
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
Bankruptcy prediction using Partial Least Squares Logistic Regression
Sami Ben Jabeur
Journal of Retailing and Consumer Services (2017) Vol. 36, pp. 197-202
Closed Access | Times Cited: 88
A machine learning approach to predict the success of crowdfunding fintech project
Jen-Yin Yeh, Chi‐Hua Chen
Journal of Enterprise Information Management (2020) Vol. 35, Iss. 6, pp. 1678-1696
Closed Access | Times Cited: 76
Support Vector Machine Methods and Artificial Neural Networks Used for the Development of Bankruptcy Prediction Models and their Comparison
Jakub Horák, Jaromír Vrbka, Petr Šuleř
Journal of risk and financial management (2020) Vol. 13, Iss. 3, pp. 60-60
Open Access | Times Cited: 74
Systemic financial risk early warning of financial market in China using Attention-LSTM model
Zisheng Ouyang, Xite Yang, Yongzeng Lai
The North American Journal of Economics and Finance (2021) Vol. 56, pp. 101383-101383
Closed Access | Times Cited: 61
Bank failure prediction models: Review and outlook
Alberto Citterio
Socio-Economic Planning Sciences (2024) Vol. 92, pp. 101818-101818
Open Access | Times Cited: 12
Dynamic prediction of financial distress using Malmquist DEA
Zhiyong Li, Jonathan Crook, Galina Andreeva
Expert Systems with Applications (2017) Vol. 80, pp. 94-106
Open Access | Times Cited: 82
Data Mining Techniques and Applications
Nayem Rahman
International Journal of Strategic Information Technology and Applications (2018) Vol. 9, Iss. 1, pp. 78-97
Closed Access | Times Cited: 77
A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction
Sunitha Devi, Y. Radhika
International Journal of Machine Learning and Computing (2018) Vol. 8, Iss. 2, pp. 133-139
Open Access | Times Cited: 65
Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting
Santosh Shrivastava, P. Jeyanthi, Sarbjit Singh
Cogent Economics & Finance (2020) Vol. 8, Iss. 1, pp. 1729569-1729569
Open Access | Times Cited: 64
Integrating cognitive mapping and MCDA for bankruptcy prediction in small- and medium-sized enterprises
Manuel D. N. T. Oliveira, Fernando A. F. Ferreira, Guillermo Olavi Pérez-Bustamante Ilander, et al.
Journal of the Operational Research Society (2017) Vol. 68, Iss. 9, pp. 985-997
Closed Access | Times Cited: 63
Corporate Default Predictions Using Machine Learning: Literature Review
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Sustainability (2020) Vol. 12, Iss. 16, pp. 6325-6325
Open Access | Times Cited: 59
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
Bankruptcy or Success? The Effective Prediction of a Company’s Financial Development Using LSTM
Marek Vochоzka, Jaromír Vrbka, Petr Šuleř
Sustainability (2020) Vol. 12, Iss. 18, pp. 7529-7529
Open Access | Times Cited: 52
Opportunities and Challenges of Artificial Intelligence in Banking: Systematic Literature Review
Ahmad Ghandour
TEM Journal (2021), pp. 1581-1587
Open Access | Times Cited: 51
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