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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:

Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine
Yao Zou, Changchun Gao, Han Gao
IEEE Access (2022) Vol. 10, pp. 42623-42639
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Machine Learning for Credit Risk Prediction: A Systematic Literature Review
Jomark Pablo Noriega, Luis Rivera, José Herrera
Data (2023) Vol. 8, Iss. 11, pp. 169-169
Open Access | Times Cited: 13
Machine learning techniques in bankruptcy prediction: A systematic literature review
Απόστολος Δασίλας, Anna Rigani
Expert Systems with Applications (2024) Vol. 255, pp. 124761-124761
Closed Access | Times Cited: 5
The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia
Mário Papík, Lenka Papíková
Technological Forecasting and Social Change (2025) Vol. 215, pp. 124098-124098
Open Access
Predicting bankruptcy of companies in Malaysia using ant colony optimization
Annuur Zakiah Zainol, Rizauddin Saian, Teoh Yeong Kin, et al.
AIP conference proceedings (2025) Vol. 3285, pp. 020008-020008
Closed Access
Cost-Sensitive Metaheuristic Optimization-Based Neural Network with Ensemble Learning for Financial Distress Prediction
Salah Al-Deen Safi, Pedro Á. Castillo, Hossam Faris
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 6918-6918
Open Access | Times Cited: 20
Explainable Artificial Intelligence (XAI): A Systematic Literature Review on Taxonomies and Applications in Finance
Tiago Martins, Ana de Almeida, Elsa Cardoso, et al.
IEEE Access (2023) Vol. 12, pp. 618-629
Open Access | Times Cited: 11
Machine learning models for evaluating the benefits of business intelligence systems
Mano Ashish Tripathi, Kilaru Madhavi, V.S. Prasad Kandi, et al.
The Journal of High Technology Management Research (2023) Vol. 34, Iss. 2, pp. 100470-100470
Closed Access | Times Cited: 10
Cost prediction for water reuse equipment using interpretable machine learning models
Kan Chen, Yuezheng Zhang, Naixin Hu, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105474-105474
Closed Access | Times Cited: 2
Profit-sensitive machine learning classification with explanations in credit risk: The case of small businesses in peer-to-peer lending
Miller Janny Ariza Garzón, Javier Arroyo, María Jesús Segovia Vargas, et al.
Electronic Commerce Research and Applications (2024) Vol. 67, pp. 101428-101428
Open Access | Times Cited: 2
LiFoL: An Efficient Framework for Financial Distress Prediction in High-Dimensional Unbalanced Scenario
Ying Chen, Xiaojun Kuang, Jifeng Guo
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2784-2795
Closed Access | Times Cited: 5
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
Jomark Pablo Noriega, Luis Rivera, José Herrera
(2023)
Open Access | Times Cited: 3
Financial distress prediction based on ensemble feature selection and improved stacking algorithm
Wu Chong, Xiaofang Chen, Yongjie Jiang
Kybernetes (2024)
Closed Access
Forecasting Commercial Customers Credit Risk Through Early Warning Signals Data: A Machine Learning based Approach
Marcos Machado, Joerg Osterrieder, Daniel Chen
SSRN Electronic Journal (2024)
Closed Access
Balancing Techniques for Advanced Financial Distress Detection Using Artificial Intelligence
Dovilė Kuizinienė, Tomas Krilavičius
Electronics (2024) Vol. 13, Iss. 8, pp. 1596-1596
Open Access
A Novel Hybrid Regression Model for Banking Loss Estimation
Pınar Karadayı Ataş
Bingöl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2024)
Open Access
Does ESG Predict Business Failure in Brazil? An Application of Machine Learning Techniques
Mehwish Kaleem, Hassan Raza, Sumaira Ashraf, et al.
Risks (2024) Vol. 12, Iss. 12, pp. 185-185
Open Access
Deployment of AI and ML Techniques in the Form of Ontology for Improving Business Management Perspectives
Aman Jandwani, Balraj Verma, Amit Mittal, et al.
(2024), pp. 39-55
Closed Access
Multi-class Financial Distress Prediction Based on Feature Selection and Deep Forest Algorithm
Xiaofang Chen, Zengli Mao, Chong Wu
Computational Economics (2024)
Closed Access
Risk Management in Hospitality: Machine Learningbased Approaches for Crisis Prediction and Response
Geetha Manoharan, Abhishek Vaishnava, Amar Prakash Dabral, et al.
(2024), pp. 473-478
Closed Access
Predicting earnings per share using feature-engineered extreme gradient boosting models and constructing alpha trading strategies
Gargi Singh, I Nyoman Arya Thanaya
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 3999-4012
Closed Access | Times Cited: 1
A Financial Distress Prediction using a Non-stationary Dataset
R. Chaves, André Luis Debiaso Rossi, Luís P. F. Garcia
(2023), pp. 300-314
Open Access | Times Cited: 1
Role of Comprehensive Income in Predicting Bankruptcy
Asyrofa Rahmi, Hung‐Yuan Lu, Deron Liang, et al.
Computational Economics (2022) Vol. 62, Iss. 2, pp. 689-720
Closed Access | Times Cited: 2
Uncovering the Impact of Local and Global Interests in Artists on Stock Prices of K-Pop Entertainment Companies: A SHAP-XGBoost Analysis
Daeun Yu, Sun‐Yong Choi
Axioms (2023) Vol. 12, Iss. 6, pp. 538-538
Open Access
Application of intellectual capital in SME bankruptcy
Lenka Papíková, Mário Papík
Applied Economics (2023) Vol. 56, Iss. 55, pp. 7317-7338
Closed Access
Un análisis bibliométrico de la predicción de quiebra empresarial con Machine Learning
Yuly Andrea Franco
ODEON (2023), Iss. 22, pp. 87-126
Open Access
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