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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:

Feature selection in credit risk modeling: an international evidence
Ying Zhou, Mohammad Shamsu Uddin, Tabassum Habib, et al.
Economic Research-Ekonomska Istraživanja (2021) Vol. 34, Iss. 1, pp. 3064-3091
Open Access | Times Cited: 23

Showing 23 citing articles:

Profit scoring for credit unions using the multilayer perceptron, XGBoost and TabNet algorithms: Evidence from Peru
Rodrigo Asencios, Christian Asencios, Efrain Ramos
Expert Systems with Applications (2022) Vol. 213, pp. 119201-119201
Closed Access | Times Cited: 22
Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art
André Aoun Montevechi, Rafael de Carvalho Miranda, André Luiz Medeiros, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109082-109082
Closed Access | Times Cited: 4
Cheese brand identification with Raman spectroscopy and sparse group LASSO
Yinsheng Zhang, Beibei Qin, Mengrui Zhang, et al.
Journal of Food Composition and Analysis (2025), pp. 107371-107371
Closed Access
Bank credit risk prediction using machine learning model
Ines Gasmi, S. Néji, Nesrine Mansouri, et al.
Neural Computing and Applications (2025)
Closed Access
Artificial Intelligence in Economics Research: What Have We Learned? What Do We Need to Learn?
Salman Bahoo, John W. Goodell, Rachid Rhattat, et al.
Journal of Economic Surveys (2025)
Closed Access
A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description
Kunpeng Yuan, Guotai Chi, Ying Zhou, et al.
Research in International Business and Finance (2021) Vol. 59, pp. 101536-101536
Closed Access | Times Cited: 31
Default prediction modeling (DPM) with machine learning algorithms: case of non-financial listed companies in Pakistan
Jahanzaib Alvi, Imtiaz Arif
Kybernetes (2024)
Closed Access | Times Cited: 2
Machine Learning for Credit Risk in the Reactive Peru Program: A Comparison of the Lasso and Ridge Regression Models
Luis Alberto Geraldo Campos, Juan J. Soria, Tamara Pando-Ezcurra
Economies (2022) Vol. 10, Iss. 8, pp. 188-188
Open Access | Times Cited: 8
Identification of Most Preferable Machine Learning Technique for Prediction of Bank Loan Defaulters
Digambar B Uphade, Aniket Muley, Swapnil Virendra Chalwadi
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 4, pp. 343-351
Open Access | Times Cited: 1
Manipulable Data, Goodhart's Law, and Credit Risk Prediction
Andrea Gamba, Christopher A. Hennessy
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Fusion-enhanced multi-label feature selection with sparse supplementation
Yonghao Li, X.Z. Wang, Xin Yang, et al.
Information Fusion (2024), pp. 102813-102813
Closed Access | Times Cited: 1
Default Feature Selection in Credit Risk Modeling: Evidence From Chinese Small Enterprises
Nana Chai, Baofeng Shi, Bin Meng, et al.
SAGE Open (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 4
Artificial Bee Colony for Logic Mining in Credit Scoring
Siti Zulaikha Mohd Jamaludin, Nur Syazwani Sa’ari, Mohd Shareduwan Mohd Kasihmuddin, et al.
Malaysian Journal of Fundamental and Applied Sciences (2022) Vol. 18, Iss. 6, pp. 654-673
Open Access | Times Cited: 4
A novel profit-based validity index approach for feature selection in credit risk prediction
Meng Pang, Zhe Li
AIMS Mathematics (2023) Vol. 9, Iss. 1, pp. 974-997
Open Access | Times Cited: 2
The Most Effective Strategy for Incorporating Feature Selection into Credit Risk Assessment
Dalia Atif, Mabrouka Salmi
SN Computer Science (2022) Vol. 4, Iss. 2
Closed Access | Times Cited: 3
Effect of variable selection strategy on the predictive models for adverse pregnancy outcomes of pre-eclampsia: A retrospective study
Dongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Placenta and Reproductive Medicine (2024) Vol. 3
Open Access
Predicción del riesgo crediticio a microfinanciera usando aprendizaje computacional
Erwis Melchor Pérez, Moisés Emmanuel Ramírez Guzmán, Araceli Hernández Jiménez, et al.
Deleted Journal (2024) Vol. 19, Iss. 4, pp. 1-16
Open Access
Prediction of one-year readmission risk in patients with unstable angina based on CatBoost
Lujie Xiong, Lijun Liang, Jing Li
(2024), pp. 185-191
Closed Access
Credit Risk Assessment System Based on Deep Learning: A Systematic Literature Review
Sandra Paola Hoyos Gutiérrez, Félix Melchor Santos López
Lecture notes in networks and systems (2024), pp. 395-413
Closed Access
An Overview - Stress Test Designs for the Evaluation of AI and ML Models Under Shifting Financial Conditions to Improve the Robustness of Models
Joerg Osterrieder, Veni Arakelian, Ioana Florina Coita, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
Feature Selection for Credit Risk Classification
Dalia Atif, Mabrouka Salmi
Communications in computer and information science (2022), pp. 165-179
Closed Access | Times Cited: 2
Classification of Credit Applicants Using SVM Variants Coupled with Filter-Based Feature Selection
Siham Akil, Sara Sekkate, Abdellah Adib
Lecture notes on data engineering and communications technologies (2022), pp. 136-145
Closed Access | Times Cited: 2
A Multi Class Machine Learning Model for Predicting Credit Default in Credit Risk Management
Alex Umagba, Benjamin Abara, Zayyad Isa, et al.
SSRN Electronic Journal (2022)
Closed Access
Designing a Comparative Model of Bank Credit Risk Using Neural Network Models, Survival Probability Function and Support Vector Machine
Nasrin Motedayen, Rafik Nazarian, Marjan Damankeshideh, et al.
Journal of Research in Economic Modeling (2022) Vol. 12, Iss. 45, pp. 199-230
Open Access
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