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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:

Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises
Pedro Antonio Gutiérrez, María Jesús Segovia Vargas, Sancho Salcedo‐Sanz, et al.
Omega (2009) Vol. 38, Iss. 5, pp. 333-344
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

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
A support vector machine-based model for detecting top management fraud
Ping‐Feng Pai, Ming-Fu Hsu, Ming‐Chieh Wang
Knowledge-Based Systems (2010) Vol. 24, Iss. 2, pp. 314-321
Closed Access | Times Cited: 108
Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models
You Zhu, Chi Xie, Bo Sun, et al.
Sustainability (2016) Vol. 8, Iss. 5, pp. 433-433
Open Access | Times Cited: 80
Global Sensitivity Estimates for Neural Network Classifiers
Francisco Fernández‐Navarro, Mariano Carbonero-Ruz, David Becerra Alonso, et al.
IEEE Transactions on Neural Networks and Learning Systems (2016) Vol. 28, Iss. 11, pp. 2592-2604
Closed Access | Times Cited: 76
Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach
Peter Wänke, Md. Abul Kalam Azad, Carlos Pestana Barros, et al.
Expert Systems (2015) Vol. 33, Iss. 3, pp. 213-229
Closed Access | Times Cited: 70
Assessing bank soundness with classification techniques
Christos Ioannidis, Fotios Pasiouras, Constantin Zopounidis
Omega (2009) Vol. 38, Iss. 5, pp. 345-357
Closed Access | Times Cited: 83
Integrating expert knowledge and multilingual web crawling data in a lead qualification system
Jan D’Haen, Dirk Van den Poel, Dirk Thorleuchter, et al.
Decision Support Systems (2015) Vol. 82, pp. 69-78
Closed Access | Times Cited: 53
Orthogonal support vector machine for credit scoring
Lu Han, Liyan Han, Hongwei Zhao
Engineering Applications of Artificial Intelligence (2012) Vol. 26, Iss. 2, pp. 848-862
Closed Access | Times Cited: 44
Sustainable finance: The role of savings and credit cooperatives in Ecuador
María Jesús Segovia Vargas, Marta Miranda García, Freddy Alejandro Oquendo‐Torres
Annals of public and co-operative economy (2023) Vol. 94, Iss. 3, pp. 951-980
Open Access | Times Cited: 9
A novel hybrid model for bi-objective short-term electric load forecasting
Jinxing Che
International Journal of Electrical Power & Energy Systems (2014) Vol. 61, pp. 259-266
Closed Access | Times Cited: 29
Time series forecasting by recurrent product unit neural networks
Francisco Fernández‐Navarro, Maria Angeles de la Cruz, Pedro Antonio Gutiérrez, et al.
Neural Computing and Applications (2016) Vol. 29, Iss. 3, pp. 779-791
Closed Access | Times Cited: 23
Applications of Artificial Intelligence and Machine Learning-based Supervisory Technology in Financial Markets Surveillance: A Review of Literature
Saurabh Maheshwari, Niti Nandini Chatnani
FIIB Business Review (2023)
Closed Access | Times Cited: 7
Assessing Machine Learning Techniques for Predicting Banking Crises in India
Sreenivasulu Puli, Nagaraju Thota, A. C. V. Subrahmanyam
Journal of risk and financial management (2024) Vol. 17, Iss. 4, pp. 141-141
Open Access | Times Cited: 2
Stock market extreme risk prediction based on machine learning: Evidence from the American market
Tingting Ren, Shaofang Li, Siying Zhang
The North American Journal of Economics and Finance (2024) Vol. 74, pp. 102241-102241
Closed Access | Times Cited: 2
Product-Units neural networks for catchment runoff forecasting
A. Piotrowski, Jarosław J. Napiórkowski
Advances in Water Resources (2012) Vol. 49, pp. 97-113
Closed Access | Times Cited: 24
Financial Soundness Prediction Using a Multi-classification Model: Evidence from Current Financial Crisis in OECD Banks
D. Fernández-Arias, María del Carmen López-Martín, Teresa Montero-Romero, et al.
Computational Economics (2017) Vol. 52, Iss. 1, pp. 275-297
Closed Access | Times Cited: 22
Non-linear multiclassifier model based on Artificial Intelligence to predict research and development performance in European countries
Mónica de la Paz-Marín, Pilar Campoy-Muñoz, César Hervás‐Martínez
Technological Forecasting and Social Change (2012) Vol. 79, Iss. 9, pp. 1731-1745
Closed Access | Times Cited: 23
Ethical perspective on AI hazards to humans: A review
Chang-ye Chen, Ziyu Chen, Wenyu Luo, et al.
Medicine (2023) Vol. 102, Iss. 48, pp. e36163-e36163
Open Access | Times Cited: 5
Is artificial intelligence and machine learning changing the ways of banking: a systematic literature review and meta analysis
S. Jain, Neha Gupta
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 5
Estimating probability of banking crises using random forest
Sri Hartini, Zuherman Rustam, Glori Stephani Saragih, et al.
IAES International Journal of Artificial Intelligence (2021) Vol. 10, Iss. 2, pp. 407-407
Open Access | Times Cited: 12
Machine learning in corporate credit rating assessment using the expanded audit report
Nora Muñoz‐Izquierdo, María Jesús Segovia Vargas, María‐del‐Mar Camacho‐Miñano, et al.
Machine Learning (2022) Vol. 111, Iss. 11, pp. 4183-4215
Open Access | Times Cited: 8
Capital shortfall: A multicriteria decision support system for the identification of weak banks
Minas-Polyvios Tsagkarakis, Michael Doumpos, Fotios Pasiouras
Decision Support Systems (2021) Vol. 145, pp. 113526-113526
Closed Access | Times Cited: 11
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms
Juan Carlos Fernández Fernández, M. Cruz-Ramírez, César Hervás‐Martínez
Neural Computing and Applications (2016) Vol. 30, Iss. 1, pp. 289-305
Closed Access | Times Cited: 10
Assessing Bank Soundness with Classification Techniques
Christos Ioannidis, Fotios Pasiouras, C. Zopounidis
SSRN Electronic Journal (2009)
Closed Access | Times Cited: 7
Forecasting the Acquisition of University Spin-Outs: An RBF Neural Network Approach
Weiwei Liu, Zhile Yang, Kexin Bi
Complexity (2017) Vol. 2017, pp. 1-8
Open Access | Times Cited: 5
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