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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:

Corporate Default Predictions Using Machine Learning: Literature Review
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Sustainability (2020) Vol. 12, Iss. 16, pp. 6325-6325
Open Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Classifying a Lending Portfolio of Loans with Dynamic Updates via a Machine Learning Technique
Fazlollah Soleymani, Houman Masnavi, Stanford Shateyi
Mathematics (2020) Vol. 9, Iss. 1, pp. 17-17
Open Access | Times Cited: 9
Modelling failure rates with machine‐learning models: Evidence from a panel of UK firms
Georgios Sermpinis, Serafeim Tsoukas, Yiqun Zhang
European Financial Management (2022) Vol. 29, Iss. 3, pp. 734-763
Open Access | Times Cited: 6
A Literature Review on the Financial Determinants of Hotel Default
Theodore Metaxas, Αθανάσιος Ρωμανόπουλος
Journal of risk and financial management (2023) Vol. 16, Iss. 7, pp. 323-323
Open Access | Times Cited: 3
Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models
Kangshuai Guo, Shichao Luo, Ming Liang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 01-09
Closed Access | Times Cited: 3
The Advantage of Case-Tailored Information Metrics for the Development of Predictive Models, Calculated Profit in Credit Scoring
Daniel Chrościcki, Marcin Chlebuś
Entropy (2022) Vol. 24, Iss. 9, pp. 1218-1218
Open Access | Times Cited: 5
The application of structural and machine learning models to predict the default risk of listed companies in the Iranian capital market
Pejman Peykani, Mostafa Sargolzaei, Negin Sanadgol, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0292081-e0292081
Open Access | Times Cited: 2
Feature Selection with Optimal Variational Auto Encoder for Financial Crisis Prediction
Kavitha Muthukumaran, K. Hariharanath, Vani Haridasan
Computer Systems Science and Engineering (2022) Vol. 45, Iss. 1, pp. 887-901
Open Access | Times Cited: 4
Intelligent Model for Enhancing the Bankruptcy Prediction with Imbalanced Data Using Oversampling and CatBoost
Samar Aly, Marco Alfonse, Abdel-Badeeh M. Salem
International journal of intelligent computing and information sciences/International Journal of Intelligent Computing and Information Sciences (2022), pp. 1-17
Open Access | Times Cited: 4
A Hybrid Algorithm-Level Ensemble Model for Imbalanced Credit Default Prediction in the Energy Industry
Kui Wang, Jie Wan, Gang Li, et al.
Energies (2022) Vol. 15, Iss. 14, pp. 5206-5206
Open Access | Times Cited: 3
Sectorial Analysis Impact on the Development of Credit Scoring Machine Learning Models
Ayoub El-Qadi, Maria Trocan, Thomas Frossard, et al.
(2022), pp. 115-122
Closed Access | Times Cited: 3
A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data
Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, et al.
Future Internet (2024) Vol. 16, Iss. 3, pp. 79-79
Open Access
Ensemble Machine Learning Models in Financial Distress Prediction: Evidence from China
Yi Ling, Pang Paul Wang
Journal of Mathematical Finance (2024) Vol. 14, Iss. 02, pp. 226-242
Open Access
Classification-Based Credit Risk Analysis: The Case of Lending Club
Aadi Gupta, Priya Gulati, Siddhartha P. Chakrabarty
Lecture notes in networks and systems (2024), pp. 77-86
Closed Access
Bankruptcy Forecasting of Indian Manufacturing Companies Post the Insolvency and Bankruptcy Code 2016 Using Machine Learning Techniques
Simrat Kaur, Anjali Munde
Intelligent systems reference library (2024), pp. 179-189
Closed Access
Default Prediction of SMEs Based on STUNT Method
Wenzheng Wang, Jinxu Chang, Jize Zhang
Learning and analytics in intelligent systems (2024), pp. 406-419
Closed Access
Signals Approach for Assessment and Prediction of Financial Stability of Russian Businesses
D. I. Pekhalskiy, F. I. Minichev
Studies on Russian Economic Development (2024) Vol. 35, Iss. 5, pp. 753-762
Closed Access
Estimating probability of default via delinquencies? Evidence from European P2P lending market
Asror Nigmonov, Syed Shams, Povilas Urbonas
Global Finance Journal (2024) Vol. 63, pp. 101050-101050
Open Access
Time Sensitive and Oversampling Learning for Systemic Crisis Forecasting
Francesco De Nicolò, Marianna La Rocca, A Marrone, et al.
New economic windows (2024), pp. 155-177
Open Access
o efeito da recuperação judicial no risco de falência: uma análise das empresas brasileiras listadas na B3 utilizando o modelo z”-score de Altman
Afonso Azzola
(2024)
Closed Access
A Comparative Analysis for Predicting Loan Default Risks using Machine Learning Algorithms
Ashish Garg, Ayush Maheshwari, Rajiv Kapoor, et al.
SSRN Electronic Journal (2024)
Closed Access
Seasonal Analysis and Risk Management Strategies for Credit Guarantee Funds: A Case Study from Republic of Korea
Juryon Paik, Kwangho Ko
Stats (2024) Vol. 8, Iss. 1, pp. 2-2
Open Access
Identifying poorly performing listed firms using data analytics
Derrick W. H. Fung
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 1
Post-pandemic performance of micro, small and medium-sized enterprises: A Self-organizing Maps application
Lisana B. Martínez, Valeria Scherger, Sofía Orazi
Cogent Business & Management (2023) Vol. 10, Iss. 3
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
Early Warning System of Housing Market Using Machine Learning
Daehyeon Park, Jeong-Hwan Kim, Doojin Ryu
Journal of Real Estate Analysis (2021) Vol. 7, Iss. 1, pp. 29-45
Open Access | Times Cited: 2

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