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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 insight into the experimental design for credit risk and corporate bankruptcy prediction systems
Vicente García, Ana I. Marqués, J. Salvador Sánchez
Journal of Intelligent Information Systems (2014) Vol. 44, Iss. 1, pp. 159-189
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

A comparative study on base classifiers in ensemble methods for credit scoring
Joaquín Abellán, Javier G. Castellano
Expert Systems with Applications (2016) Vol. 73, pp. 1-10
Closed Access | Times Cited: 218
Classifiers consensus system approach for credit scoring
Maher Alaraj, Maysam Abbod
Knowledge-Based Systems (2016) Vol. 104, pp. 89-105
Open Access | Times Cited: 185
Classification methods applied to credit scoring: Systematic review and overall comparison
Francisco Louzada, Anderson Ara, Guilherme Barreto Fernandes
Surveys in Operations Research and Management Science (2016) Vol. 21, Iss. 2, pp. 117-134
Open Access | Times Cited: 184
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique
Feng Shen, Xingchao Zhao, Gang Kou, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106852-106852
Closed Access | Times Cited: 173
A survey on machine learning models for financial time series forecasting
Yajiao Tang, Zhenyu Song, Yulin Zhu, et al.
Neurocomputing (2022) Vol. 512, pp. 363-380
Closed Access | Times Cited: 70
A new hybrid ensemble credit scoring model based on classifiers consensus system approach
Maher Alaraj, Maysam Abbod
Expert Systems with Applications (2016) Vol. 64, pp. 36-55
Open Access | Times Cited: 144
Predicting mortgage default using convolutional neural networks
Håvard Kvamme, Nikolai Sellereite, Kjersti Aas, et al.
Expert Systems with Applications (2018) Vol. 102, pp. 207-217
Open Access | Times Cited: 135
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
Vicente García, Ana I. Marqués, J. Salvador Sánchez
Information Fusion (2018) Vol. 47, pp. 88-101
Open Access | Times Cited: 117
Dynamic ensemble classification for credit scoring using soft probability
Xiaodong Feng, Zhi Xiao, Bo Zhong, et al.
Applied Soft Computing (2018) Vol. 65, pp. 139-151
Closed Access | Times Cited: 107
The influence of enterprise risk management on firm performance with the moderating effect of intellectual capital dimensions
Parvaneh Saeidi, Sayyedeh Parisa Saeidi, Leonardo Gutiérrez, et al.
Economic Research-Ekonomska Istraživanja (2020) Vol. 34, Iss. 1, pp. 122-151
Open Access | Times Cited: 93
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Gang Yao, Xiaojian Hu, Guanxiong Wang
Expert Systems with Applications (2022) Vol. 200, pp. 117002-117002
Closed Access | Times Cited: 54
A novel XGBoost extension for credit scoring class-imbalanced data combining a generalized extreme value link and a modified focal loss function
Jonah Mushava, Michael P. Murray
Expert Systems with Applications (2022) Vol. 202, pp. 117233-117233
Closed Access | Times Cited: 51
Credit scoring methods: Latest trends and points to consider
Anton Markov, Zinaida Seleznyova, Victor Lapshin
The Journal of Finance and Data Science (2022) Vol. 8, pp. 180-201
Open Access | Times Cited: 40
An artificial intelligence system for predicting customer default in e-commerce
Leonardo Vanneschi, David M. Horn, Mauro Castelli, et al.
Expert Systems with Applications (2018) Vol. 104, pp. 1-21
Closed Access | Times Cited: 82
Financial distress prediction using the hybrid associative memory with translation
L. Cleofas-Sánchez, Vicente García, Ana I. Marqués, et al.
Applied Soft Computing (2016) Vol. 44, pp. 144-152
Open Access | Times Cited: 76
Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends
Jana Doering, Renatas Kizys, Ángel A. Juan, et al.
Operations Research Perspectives (2019) Vol. 6, pp. 100121-100121
Open Access | Times Cited: 75
Credit risk modeling using Bayesian network with a latent variable
Khalil Masmoudi, Lobna Abid, Afif Masmoudi
Expert Systems with Applications (2019) Vol. 127, pp. 157-166
Closed Access | Times Cited: 71
A review of credit scoring research in the age of Big Data
Ceylan Onay, Elif Öztürk
Journal of Financial Regulation and Compliance (2018) Vol. 26, Iss. 3, pp. 382-405
Closed Access | Times Cited: 63
A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification
Diwakar Tripathi, Damodar Reddy Edla, Ramalingaswamy Cheruku, et al.
Computational Intelligence (2019) Vol. 35, Iss. 2, pp. 371-394
Closed Access | Times Cited: 58
Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers
Yuri Zelenkov, Nikita Volodarskiy
Expert Systems with Applications (2021) Vol. 185, pp. 115559-115559
Closed Access | Times Cited: 43
Resampling Techniques Study on Class Imbalance Problem in Credit Risk Prediction
Zixue Zhao, Tianxiang Cui, Shusheng Ding, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 701-701
Open Access | Times Cited: 6
Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines
Sihem Khemakhem, Fatma Said, Younés Boujelbène
Journal of Modelling in Management (2018) Vol. 13, Iss. 4, pp. 932-951
Closed Access | Times Cited: 55
A Differential Evolution‐Oriented Pruning Neural Network Model for Bankruptcy Prediction
Yajiao Tang, Junkai Ji, Yulin Zhu, et al.
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 53
Flexible loss functions for binary classification in gradient-boosted decision trees: An application to credit scoring
Jonah Mushava, Michael P. Murray
Expert Systems with Applications (2023) Vol. 238, pp. 121876-121876
Open Access | Times Cited: 15
Fuzzy Theory in Credit Scoring: A Literature Review
Fabian Leandro Moreno Salazar, Juan Carlos Figueroa–García
Communications in computer and information science (2025), pp. 55-68
Closed Access
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