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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:

Machine learning for corporate default risk: Multi-period prediction, frailty correlation, loan portfolios, and tail probabilities
Fabio Sigrist, Nicola Leuenberger
European Journal of Operational Research (2022) Vol. 305, Iss. 3, pp. 1390-1406
Open Access | Times Cited: 25

Showing 25 citing articles:

Explainable artificial intelligence modeling to forecast bitcoin prices
John W. Goodell, Sami Ben Jabeur, Foued Saâdaoui, et al.
International Review of Financial Analysis (2023) Vol. 88, pp. 102702-102702
Closed Access | Times Cited: 29
Artificial Intelligence-Driven Corporate Finance: Enhancing Efficiency and Decision-Making Through Machine Learning, Natural Language Processing, and Robotic Process Automation in Corporate Governance and Sustainability
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 10
A Novel CREDIT MODEL RISK MEASURE: Do more Data lead to lower model risk?
Valter T. Yoshida, Rafael Felipe Schiozer, Alan De Genaro, et al.
The Quarterly Review of Economics and Finance (2025), pp. 101960-101960
Closed Access | Times Cited: 1
Collusion by mistake: Does algorithmic sophistication drive supra-competitive profits?
Ibrahim Abada, Xavier Lambin, Nikolay Tchakarov
European Journal of Operational Research (2024) Vol. 318, Iss. 3, pp. 927-953
Open Access | Times Cited: 6
Transforming credit risk assessment: A systematic review of AI and machine learning applications
Jewel Kumar Roy, László Vasa
Journal of Infrastructure Policy and Development (2025) Vol. 9, Iss. 1, pp. 9652-9652
Open Access
From collaborative filtering to deep learning: Advancing recommender systems with longitudinal data in the financial services industry
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny
European Journal of Operational Research (2025)
Closed Access
Bankruptcy prediction using machine learning and Shapley additive explanations
Hoang Hiep Nguyen, Jean‐Laurent Viviani, Sami Ben Jabeur
Review of Quantitative Finance and Accounting (2023)
Closed Access | Times Cited: 10
An Empirical Comparison of Machine Learning Techniques for Bank Loan Approval Prediction
Tiyas Sarkar, Manik Rakhra, Vikrant Sharma, et al.
(2024), pp. 137-143
Closed Access | Times Cited: 3
Is Artificial Intelligence Really More Accurate in Predicting Bankruptcy?
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová
International Journal of Financial Studies (2024) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 2
Predicting bankruptcy using artificial intelligence: The case of the engineering industry
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová, et al.
Economics & Sociology (2023) Vol. 16, Iss. 4, pp. 178-190
Open Access | Times Cited: 5
A three-stage prediction model for firm default risk: An integration of text sentiment analysis
Xuejiao Ma, T. Che, Qichuan Jiang
Omega (2024), pp. 103207-103207
Closed Access | Times Cited: 1
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
Collusion by Mistake: Does Algorithmic Sophistication Drive Supra-Competitive Profits?
Ibrahim Abada, Xavier Lambin, Nikolay Tchakarov
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 5
Accelerated Double-Sketching Subspace Newton
Jun Shang, Haishan Ye, Xiangyu Chang
European Journal of Operational Research (2024) Vol. 319, Iss. 2, pp. 484-493
Closed Access
Credit Scorecards & Forecasting Default Events – A Novel Story of Non-financial Listed Companies in Pakistan
Jahanzaib Alvi, Imtiaz Arif
Asia-Pacific Financial Markets (2024)
Closed Access
Ethical transparency in business failure prediction: uncovering the black box of xgboost algorithm
Mariano Romero Martínez, José Pozuelo Campillo, Pedro Carmona
Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad (2024), pp. 1-31
Closed Access
Class Imbalance Bayesian Model Averaging for Consumer Loan Default Prediction: The Role of Soft Credit Information
Futian Weng, Miao Zhu, Mike Buckle, et al.
Research in International Business and Finance (2024), pp. 102722-102722
Open Access
Navigational guidance – A deep learning approach
Benjamin Yen, Yu Luo
European Journal of Operational Research (2023) Vol. 310, Iss. 3, pp. 1179-1191
Closed Access | Times Cited: 1
Default Prediction with Industry-Specific Default Heterogeneity Indicators Based on the Forward Intensity Model
Zhengfang Ni, Minghui Jiang, Wentao Zhan
Axioms (2023) Vol. 12, Iss. 4, pp. 402-402
Open Access | Times Cited: 1
Predicting customer deposits with machine learning algorithms: evidence from Tunisia
Oussama Gafrej
Managerial Finance (2023) Vol. 50, Iss. 3, pp. 578-589
Closed Access | Times Cited: 1
Auto loan default prediction based on Stacking model
Lingling Zeng, Jin Sun, YiMin Zhou
(2023), pp. 286-292
Open Access
Environmental Concerns as Predictors of Bankruptcy and Financial Distress: An Explainable Artificial Intelligence Modelling
Hoang Hiep Nguyen
SSRN Electronic Journal (2023)
Closed Access
Machine Learning Use Case Discovery and Implementation in the Finance and Accounting Domains of Companies Şirketlerin Finans ve Muhasebe Alanlarında Makine Öğrenimi Kullanım Senaryosu Keşfi ve Uygulaması
Tolga TUZCUOĞLU
Florya Chronicles of Political Economy (2015) Vol. 9, Iss. 2, pp. 89-106
Open Access


Florya Chronicles of Political Economy (2015) Vol. 9, Iss. 2
Open Access
Analysis on Forecasting of Loan using Supervised Machine Learning Models
B. Pitchai Manickam, P Kamalakannan, Saktheeswaran Jayakumar, et al.
(2022), pp. 1-7
Closed Access
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