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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:

Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China
Yi Liu, Menglong Yang, Yudong Wang, et al.
International Review of Financial Analysis (2021) Vol. 79, pp. 101971-101971
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Machine Learning Techniquesin Joint Default Assessment
Edoardo Fadda, Elisa Luciano, Patrizia Semeraro
(2024)
Closed Access
Textual analysis and credit scoring: a new matrix factorization approach
Bingjie Dong, Ying Zhou, Xia Sun, et al.
Journal of the Operational Research Society (2024), pp. 1-15
Closed Access
The graphical fascination of NFT: Insights from tree-based methods
Yunfei Zhao
Research Square (Research Square) (2024)
Closed Access
At Night All Cats Are Gray, but at Day They Are Not: Default (PD) Forecasts Capturing Italian Banks’ Idiosyncrasy
Gianpiero Chironna, Giuseppe Orlando, Henry Penikas
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 3
Unpacking the effects of scams in marketplace lending: investor confidence and attention
Jianwen Li, Yang Zhou, Jinyan Hu
Journal of Applied Economics (2024) Vol. 27, Iss. 1
Open Access
Leveraging Machine Learning Algorithm to Enable Access to Credit for Small Businesses in the United States of America
Toyyibat Yussuph
International Journal on Cybernetics & Informatics (2024) Vol. 13, Iss. 1, pp. 53-65
Open Access
Explainability of Machine Learning in Credit Risk Assessment of SMEs
Boya Huang, Feiyang Zhao, Maohong Tian, et al.
Frontiers in artificial intelligence and applications (2024)
Open Access
Credit Card Client’s Payment Prediction for Next Month Using Machine Learning Algorithms
Faria Rahman Annasha, Sabbir Hossen, Monoara Sultana Morzina, et al.
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 3, pp. 76-85
Open Access
Credit risk contagion of supply chain finance: An empirical analysis of supply chain listed companies
Xinpeng Geng, Bing Han, D Y Yang, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0306724-e0306724
Open Access
Farmers' credit risk evaluation with an explainable hybrid ensemble approach: A closer look in microfinance
Nana Chai, Mohammad Zoynul Abedin, Lian Yang, et al.
Pacific-Basin Finance Journal (2024) Vol. 89, pp. 102612-102612
Open Access
The Issues, Challenges and Impacts of Implementing Machine Learning in the Financial Services Sector
Siphiwe Mndebele, Thembekile O. Mayayise
EPiC series in education science (2023) Vol. 5, pp. 31-14
Open Access | Times Cited: 1
Credit Scoring Models: Which Performance Metrics for Optimal Financial Decision-Making?
Jean Dessain
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
Method of selecting borrowers’ features for credit risk assessment
Krzysztof Lorenz
Procedia Computer Science (2023) Vol. 225, pp. 2371-2380
Open Access | Times Cited: 1
Classification of hundreds of classes: A case study in a bank internal control department
Ekrem Duman
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 1, pp. 649-658
Closed Access
Auto-Insurance Fraud Detection Using Machine Learning Classification Models
Toluwalope Owolabi, Essa Q. Shahra, Shadi Basurra
Lecture notes in networks and systems (2023), pp. 503-513
Closed Access
Performance Evaluation of Different Machine Learning Algorithms Using Credit Scoring Model
Amrit Pal Singh, Harisankar Mahapatra, Anil Kumar Biswal, et al.
Advances in systems analysis, software engineering, and high performance computing book series (2023), pp. 248-260
Closed Access
Analysis and Comparison of Loan Default Prediction Models Based on XGBoost and LightGBM Algorithm
Xia Dong, Wei Xue, Jing Chen
Academic Journal of Computing & Information Science (2023) Vol. 6, Iss. 9
Open Access
Deciphering Long-Term Economic Growth: An Exploration with Leading Machine Learning Techniques
Zin Mar Oo, Ching‐Yang Lin, Makoto Kakinaka
(2023)
Closed Access
The default of leasing contracts prediction using machine learning
Agata Kozina, Łukasz Kuźmiński, Michał Nadolny, et al.
Procedia Computer Science (2023) Vol. 225, pp. 424-433
Open Access
Coupling Artificial Intelligence With Fintech And Banks: A Bibliometric Analysis And Future Research Agenda
Amandeep Singh
Corporate Governance Insight (2023) Vol. 5, Iss. 2, pp. 52-75
Open Access
Mining in extremely imbalanced data: a case study for predicting personnel fraud in a bank
Ekrem Duman
Research Square (Research Square) (2022)
Open Access
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