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:

EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks
Tamás Kristóf, Miklós Virág
Research in International Business and Finance (2022) Vol. 61, pp. 101644-101644
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review
Debidutta Pattnaik, Sougata Ray, Raghu Raman
Heliyon (2023) Vol. 10, Iss. 1, pp. e23492-e23492
Open Access | Times Cited: 43

Bank failure prediction models: Review and outlook
Alberto Citterio
Socio-Economic Planning Sciences (2024) Vol. 92, pp. 101818-101818
Open Access | Times Cited: 12

Examining the ability of big data analytics to investigate financial reporting quality: a comprehensive bibliometric analysis
Ahmed Aboelfotoh, Ahmed Zamel, Ahmad A. Abu‐Musa, et al.
Journal of financial reporting & accounting (2024)
Closed Access | Times Cited: 4

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

Monitoring bank risk around the world using unsupervised learning
Mathieu Mercadier, Amine Tarazi, Paul Armand, et al.
European Journal of Operational Research (2025)
Open Access

Tailored Microprudential Recommendations for Bank Profit Retention Using a Risk Tolerance Framework
Petr Jakubík, Bogdan-Gabriel Moinescu
International Review of Economics & Finance (2025) Vol. 98, pp. 103951-103951
Open Access

A Multi-Stage Financial Distress Early Warning System: Analyzing Corporate Insolvency with Random Forest
Katsuyuki Tanaka, Takuo Higashide, Takuji Kinkyo, et al.
Journal of risk and financial management (2025) Vol. 18, Iss. 4, pp. 195-195
Open Access

Integrating AI and ML Technologies Into Indigenous Financial Systems: Applications of AI and ML in Indigenous Financial Management
Rajiv Iyer, Vedprakash Maralapalle
Emerald Publishing Limited eBooks (2025), pp. 237-251
Closed Access

Rating the Impact of Risks in Banking on Performance: Utilizing the Adaptive Neural Network-Based Fuzzy Inference System (ANFIS)
Riyadh Mehdi, Ibrahim Elsiddig Ahmed, Elfadil A. Mohamed
Risks (2025) Vol. 13, Iss. 5, pp. 85-85
Open Access

Bank failure prediction: corporate governance and financial indicators
Noora Alzayed, Rasol Eskandari, Hassan Yazdifar
Review of Quantitative Finance and Accounting (2023) Vol. 61, Iss. 2, pp. 601-631
Open Access | Times Cited: 8

Emerging Trends in Deep Learning for Credit Scoring: A Review
Yoichi Hayashi
Electronics (2022) Vol. 11, Iss. 19, pp. 3181-3181
Open Access | Times Cited: 12

Enhancing credit risk prediction with hybrid deep learning and sand cat swarm feature selection
R. Ramesh, M. Jeyakarthic
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60243-60263
Closed Access | Times Cited: 2

Predicting bank inactivity: A comparative analysis of machine learning techniques for imbalanced data
Ali Ben Mrad, Amine Lahiani, Salma Mefteh‐Wali, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 2

Business model contributions to bank profit performance: A machine learning approach
Fernando Bolívar, Miguel A. Durán, Ana Lozano‐Vivas
Research in International Business and Finance (2023) Vol. 64, pp. 101870-101870
Open Access | Times Cited: 5

A ML-based economic protection development level using Decision Tree and Ensemble Algorithms
Qiaomei Dou, Jiawei Zhang, Bing Jing
Soft Computing (2023) Vol. 27, Iss. 24, pp. 18929-18947
Closed Access | Times Cited: 4

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

Instance-dependent misclassification cost-sensitive learning for default prediction
Jin Xing, Guotai Chi, Ancheng Pan
Research in International Business and Finance (2024) Vol. 69, pp. 102265-102265
Closed Access | Times Cited: 1

Determinants of Bank Stability in Nigeria
Ejime Herbert Aniemeke
American Journal of Economics and Business Innovation (2024) Vol. 3, Iss. 2, pp. 85-93
Open Access | Times Cited: 1

Enhancing financial risk prediction with symbolic classifiers: addressing class imbalance and the accuracy–interpretability trade–off
Luis J. Mena, Vicente García, Vanessa G. Félix, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

A Reversed Early Warning Methodology for Optimal Bank Profit Retention Recommendations
Petr Jakubík, Bogdan-Gabriel Moinescu
International Journal of Finance & Economics (2024)
Closed Access | Times Cited: 1

Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach
Junyoung Byun, Jaewook Lee, H.W. Lee, et al.
IEEE Access (2024) Vol. 13, pp. 1546-1565
Open Access | Times Cited: 1

What is the optimal capital ratio implying a stable European banking system?
Petr Jakubík, Bogdan-Gabriel Moinescu
International Finance (2023) Vol. 26, Iss. 3, pp. 324-343
Open Access | Times Cited: 3

SUFFICIENCY OF BANKING CAPITAL: THE EXPERIENCE OF PORTUGAL
Miguel Varela, Volodymyr Mishchenko, Kateryna Cherkashyna
Financial and credit activity problems of theory and practice (2023) Vol. 6, Iss. 53, pp. 9-20
Open Access | Times Cited: 3

Contagion Patterns Classification in Stock Indices: A Functional Clustering Analysis Using Decision Trees
Jorge Omar Razo-De-Anda, Luis Lorenzo Romero-Castro, Francisco Venegas-Martı́nez
Mathematics (2023) Vol. 11, Iss. 13, pp. 2961-2961
Open Access | Times Cited: 2

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