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:

Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction
Andrés Alonso-Robisco, José Manuel Carbó Martínez
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

FinTech: a literature review of emerging financial technologies and applications
Gang Kou, Yang Lu
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks
Shaopeng Wei, Jia Lv, Yu Guo, et al.
Information Sciences (2024) Vol. 659, pp. 120081-120081
Open Access | Times Cited: 11

Explainable artificial intelligence (XAI) in finance: a systematic literature review
Jurgita Černevičienė, Audrius Kabašinskas
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 11

Profit- and risk-driven credit scoring under parameter uncertainty: A multiobjective approach
Yong Xu, Gang Kou, Yi Peng, et al.
Omega (2023) Vol. 125, pp. 103004-103004
Open Access | Times Cited: 15

Deciphering Long‐Term Economic Growth: An Exploration With Leading Machine Learning Techniques
Zin Mar Oo, Ching‐Yang Lin, Makoto Kakinaka
Journal of Forecasting (2025)
Closed Access

Should We Trust the Credit Decisions Provided by Machine Learning Models?
Andrés Alonso-Robisco, José Manuel Carbó
Computational Economics (2025)
Closed Access

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

An automated adaptive trading system for enhanced performance of emerging market portfolios
Cristiana Tudor, Robert Şova
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access

Explainable-machine-learning-based online transaction analysis of China property rights exchange capital market
Yu Zhou, Zihe Zhang, Zitong Guo
International Review of Financial Analysis (2025), pp. 104098-104098
Closed Access

Examining user behavior with machine learning for effective mobile peer-to-peer payment adoption
Blanco-Oliver Antonio, Lara-Rubio Juan, I Wayan Ana, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4

Analyzing the Impact of Machine Learning Algorithms on Risk Management and Fraud Detection in Financial Institution
Deepak Kumar, Shoumya Singh
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 5, pp. 1797-1804
Open Access | Times Cited: 4

Artificial Intelligence in banking services. A bibliometric review
Sergio Gerardo Padilla Hernández
Región Científica (2024)
Open Access | Times Cited: 4

Risk identification and management through knowledge Association: A financial event evolution knowledge graph approach
Zhenghao Liu, Zhijian Zhang, Xi Zeng
Expert Systems with Applications (2024) Vol. 252, pp. 123999-123999
Closed Access | Times Cited: 3

Can machine learning models save capital for banks? Evidence from a Spanish credit portfolio
Andrés Alonso-Robisco, José Manuel Carbó
International Review of Financial Analysis (2022) Vol. 84, pp. 102372-102372
Closed Access | Times Cited: 15

Financial constraints prediction to lead socio-economic development: an application of Neural Networks to the Italian market
Giuseppe Calabrese, Greta Falavigna, Roberto Ippoliti
Socio-Economic Planning Sciences (2024) Vol. 95, pp. 101973-101973
Open Access | Times Cited: 2

Machine Learning methods in climate finance: a systematic review
Andrés Alonso-Robisco, José Manuel Carbó, José Manuel Carbó
Documentos de trabajo/Documento de trabajo - Banco de España, Servicio de Estudios (2023)
Open Access | Times Cited: 6

Machine Learning Methods in Climate Finance: A Systematic Review
Andrés Alonso, José Manuel Carbó, José Manuel Marqués
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 5

Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers
Victor Chang, Sharuga Sivakulasingam, Hai H. Wang, et al.
Risks (2024) Vol. 12, Iss. 11, pp. 174-174
Open Access | Times Cited: 1

Loan Approval Prediction Based on a Hybrid Approach of Dynamin Thresholding Genetic Algorithm and Support Vector Machine
Ahmad Abdullah Mohammed Al-Mafrji, Ahmed M. Fakhrudeen, Lotfi Chaâri
Revue d intelligence artificielle (2024) Vol. 38, Iss. 3
Open Access

The Investigation and Validation of the $$\alpha$$-Stable Distribution Characteristics for Noises that Corrupt ECG Signals
Aditi Bajaj, Sanjay Kumar
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 12, pp. 16743-16770
Closed Access

Bibliography

Emerald Publishing Limited eBooks (2024), pp. 217-229
Closed Access

Research on User Default Prediction Algorithm Based on Adjusted Homogenous and Heterogeneous Ensemble Learning
Yao Lu, Kui Wang, Hui Sun, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5711-5711
Open Access

Predicting credit default using ML
Priya Dalal, Tripti Sharma
AIP conference proceedings (2024) Vol. 3121, pp. 040030-040030
Closed Access

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