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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:

Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies
Ping‐Feng Pai, Yi-Shien Tan, Ming-Fu Hsu
International Journal of Fuzzy Systems (2015) Vol. 17, Iss. 4, pp. 521-530
Closed Access | Times Cited: 22

Showing 22 citing articles:

A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
Parisa Golbayani, Ionuţ Florescu, Rupak Chatterjee
The North American Journal of Economics and Finance (2020) Vol. 54, pp. 101251-101251
Open Access | Times Cited: 90
Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretability
Mohammad Shamsu Uddin, Guotai Chi, Mazin A. M. Al Janabi, et al.
International Journal of Finance & Economics (2020) Vol. 27, Iss. 3, pp. 3713-3729
Closed Access | Times Cited: 52
Assessing and predicting small industrial enterprises’ credit ratings: A fuzzy decision-making approach
Yue Sun, Nana Chai, Yizhe Dong, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 1158-1172
Open Access | Times Cited: 24
Machine learning in corporate credit rating assessment using the expanded audit report
Nora Muñoz‐Izquierdo, María Jesús Segovia Vargas, María‐del‐Mar Camacho‐Miñano, et al.
Machine Learning (2022) Vol. 111, Iss. 11, pp. 4183-4215
Open Access | Times Cited: 8
A Novel Credit Evaluation Model Based on the Maximum Discrimination of Evaluation Results
Guotai Chi, Shanli Yu, Ying Zhou
Emerging Markets Finance and Trade (2019) Vol. 56, Iss. 11, pp. 2543-2562
Closed Access | Times Cited: 12
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: 4
Opening a New Era with Machine Learning in Financial Services? Forecasting Corporate Credit Ratings Based on Annual Financial Statements
Mustafa Pamuk, Matthias Schümann
International Journal of Financial Studies (2023) Vol. 11, Iss. 3, pp. 96-96
Open Access | Times Cited: 4
Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks
Bojing Feng, Wenfang Xue, Bindang Xue, et al.
(2020)
Open Access | Times Cited: 11
Predicting Corporate Credit Ratings Using Content Analysis of Annual Reports – A Naïve Bayesian Network Approach
Petr Hájek, Vladimír Olej, Ondřej Procházka
Lecture notes in business information processing (2017), pp. 47-61
Closed Access | Times Cited: 10
Every Corporation Owns Its Structure: Corporate Credit Rating via Graph Neural Networks
Bojing Feng, Haonan Xu, Wenfang Xue, et al.
Lecture notes in computer science (2022), pp. 688-699
Closed Access | Times Cited: 6
Contrastive Pre-training for Imbalanced Corporate Credit Ratings
Bojing Feng, Wenfang Xue
(2022), pp. 293-297
Open Access | Times Cited: 4
Every Corporation Owns Its Structure: Corporate Credit Ratings via Graph Neural Networks
Bojing Feng, Haonan Xu, Wenfang Xue, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
Machine Learning in Credit Risk Modeling: Empirical Application of Neural Network Approaches
Mohammad Shamsu Uddin
Studies in computational intelligence (2021), pp. 417-435
Closed Access | Times Cited: 4
A comparative study of corporate credit ratings prediction with machine learning
Seyyide Doğan, Yasin Büyükkör, Murat Atan
Badania Operacyjne i Decyzje/Operations Research and Decisions (2022) Vol. 32, Iss. 1
Open Access | Times Cited: 2
Bond rating determinants and modeling: evidence from India
Sanjay Sehgal, Vibhuti Vasishth, Tarunika Jain Agrawal
Managerial Finance (2022) Vol. 49, Iss. 3, pp. 529-554
Closed Access | Times Cited: 1
A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities
Javier G. Castellano, Serafín Moral‐García, Carlos J. Mantas, et al.
International Journal of Fuzzy Systems (2021) Vol. 23, Iss. 7, pp. 2004-2020
Closed Access | Times Cited: 1
Methods and techniques to assess creditworthiness of individuals
Tatiana Chernysheva, М. В. Милованова, Sergei Min'kov
(2016)
Open Access
Comparative Analysis of Classification Models in Design Process of Ensemble Classifier
N Pavitha, Shounak Rushikesh Sugave
Lecture notes in networks and systems (2023), pp. 79-87
Closed Access
Live-stream Credit Risk Analysis Based on Dynamic Game Theory
Nana Zhang
(2023)
Open Access
A Simplified Variable Analysis of Credit Ratings for Small Chinese Enterprises Based on Support Vector Machine
Ying Chen, Yangkai Guo, Maoguo Wu
International Journal of Economics and Finance (2020) Vol. 12, Iss. 6, pp. 45-45
Open Access
A comparative study of forecasting Corporate Credit Ratings using Neural Networks, Support Vector Machines, and Decision Trees
Parisa Golbayani, Ionuţ Florescu, Rupak Chatterjee
arXiv (Cornell University) (2020)
Closed Access
أثر درجة الالتزام الحوکمی للشرکات على ملاءمة المعلومات المحاسبیة لأغراض تقییم الجدارة الائتمانیة- دراسة تطبیقیة على الشرکات المقیدة بالبورصة المصریة
إبراهیم أحمد إبراهیم شرف
مجلة الاسکندریة للبحوث المحاسبیة (2022) Vol. 6, Iss. 1, pp. 53-110
Open Access
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