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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:

Explainable prediction of loan default based on machine learning models
Xu Zhu, Qingyong Chu, Xinchang Song, et al.
Data Science and Management (2023) Vol. 6, Iss. 3, pp. 123-133
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms
Yinghao Pan, Chaochao Zhang, Chien‐Chiang Lee, et al.
Energy Economics (2024) Vol. 130, pp. 107285-107285
Closed Access | Times Cited: 65
Framework for multivariate carbon price forecasting: A novel hybrid model
Xuankai Zhang, Ying Zong, Pei Du, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122275-122275
Closed Access | Times Cited: 5
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
Unlocking the power of machine learning in big data: a scoping survey
Fadil Mohammed Surur, Abiy Abinet Mamo, Bealu Girma Gebresilassie, et al.
Data Science and Management (2025)
Open Access
Improving customer retention in taxi industry using travel data analytics: A churn prediction study
A.L.D. Loureiro, Vera Miguéis, Álvaro Costa, et al.
Journal of Retailing and Consumer Services (2025) Vol. 85, pp. 104288-104288
Open Access
Multi-sentiment fusion for stock price crash risk prediction using an interpretable ensemble learning method
Shangkun Deng, Qunfang Luo, Yingke Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108842-108842
Closed Access | Times Cited: 3
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
Comparative Machine Learning Models for Predicting Loan Fructification in a Semi-Urban Area
Héritier Nsenge Mpia, Laure Mbambu Syasimwa, Dorcas Masika Muyisa
Archives of Advanced Engineering Science (2024), pp. 1-12
Open Access | Times Cited: 2
Application of Support Vector Machine Algorithm in Automated Lending Protocols for Decentralized Finance Platforms
C. V. Suresh Babu, M. Sudhir, George Kishore L., et al.
Advances in finance, accounting, and economics book series (2024), pp. 1-20
Closed Access | Times Cited: 2
Data-driven credit risk monitoring: Leveraging machine learning in risk management
Stanley Chidozie Umeorah, Adesola Oluwatosin Adelaja, Bibitayo Ebunlomo Abikoye, et al.
Finance & Accounting Research Journal (2024) Vol. 6, Iss. 8, pp. 1416-1435
Open 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
Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss
Zhesen Cui, Tian Li, Zhe Ding, et al.
Data Science and Management (2024)
Open Access | Times Cited: 1
Loan default predictability with explainable machine learning
Huan Li, Weixing Wu
Finance research letters (2023) Vol. 60, pp. 104867-104867
Closed Access | Times Cited: 3
Hybrid 1DCNN-Attention with Enhanced Data Preprocessing for Loan Approval Prediction
Yaru Liu, Huifang Feng
Journal of Computer and Communications (2024) Vol. 12, Iss. 08, pp. 224-241
Open Access
Interpretasi model Stacking Ensemble untuk analisis sentimen ulasan aplikasi pinjaman online menggunakan LIME
Aliyatul Munna, Eri Zuliarso
AITI (2024) Vol. 21, Iss. 2, pp. 183-196
Open Access
Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments
Stefan Haas, Konstantin Hegestweiler, Michael Rapp, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access
Examining determinants of loan default: An empirical analysis on credit factors in Thai savings and credit cooperatives
Klangjai Sangwichitr, Panern Intara
Investment Management and Financial Innovations (2024) Vol. 21, Iss. 4, pp. 323-332
Open Access
Using Machine Learning and Counterfactual Explanations for Financial Distress Prediction
Minh Nguyen, Thanh Duc Ngo, Bang Nguyen, et al.
(2024)
Closed Access
Improving Probability Estimates for Events by considering Types of Errors in Prediction Tasks
Peter Kotzian
SSRN Electronic Journal (2024)
Closed Access
Comparative study on Loan Approval Prediction Utilizing Machine Learning Approaches
Tiyas Sarkar, Manik Rakhra, Vikrant Sharma, et al.
(2024), pp. 72-78
Closed Access
Enhancing Supervised Model Performance in Credit Risk Classification Using Sampling Strategies and Feature Ranking
Niwan Wattanakitrungroj, Pimchanok Wijitkajee, Saichon Jaiyen, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 3, pp. 28-28
Open 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
Interpretability of the random forest model under class imbalance
Lindani Dube, Tanja Verster
Data Science in Finance and Economics (2024) Vol. 4, Iss. 3, pp. 446-468
Open Access
Performance of Indebted Companies Using a Machine Learning Approach
S Vinoth, Gopalakrishnan Chinnasamy, Tamanna Dalwai
Springer proceedings in business and economics (2024), pp. 321-340
Closed Access
Explainable Deep Ensemble Learning for Improved Credit Default Prediction
Kagaba Dennis, B Caroline, Barbara Nansamba, et al.
(2024), pp. 256-270
Closed Access
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