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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:

A transformer-based model for default prediction in mid-cap corporate markets
Kamesh Korangi, Christophe Mues, Cristián Bravo
European Journal of Operational Research (2022) Vol. 308, Iss. 1, pp. 306-320
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

From fiction to fact: the growing role of generative AI in business and finance
Boyang Chen, Zongxiao Wu, Ruoran Zhao
Journal of Chinese Economic and Business Studies (2023) Vol. 21, Iss. 4, pp. 471-496
Open Access | Times Cited: 56
Predicting financial distress using multimodal data: An attentive and regularized deep learning method
Wanliu Che, Zhao Wang, Cuiqing Jiang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103703-103703
Open Access | Times Cited: 15
Bankruptcy prediction using machine learning models with the text-based communicative value of annual reports
Tsung‐Kang Chen, Hsien-Hsing Liao, G. M. Chen, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120714-120714
Closed Access | Times Cited: 32
Machine learning in bank merger prediction: A text-based approach
Apostolos G. Katsafados, George N. Leledakis, Emmanouil G. Pyrgiotakis, et al.
European Journal of Operational Research (2023) Vol. 312, Iss. 2, pp. 783-797
Closed Access | Times Cited: 16
Review-based recommendation under preference uncertainty: An asymmetric deep learning framework
Yingqiu Xiong, Yezheng Liu, Yang Qian, et al.
European Journal of Operational Research (2024) Vol. 316, Iss. 3, pp. 1044-1057
Closed Access | Times Cited: 5
Fifty years at the interface between financial modeling and operations research
Frank J. Fabozzi, Maria Cristina Recchioni, Roberto Renò
European Journal of Operational Research (2025)
Closed Access
Multi-modal deep learning for credit rating prediction using text and numerical data streams
Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian, et al.
Applied Soft Computing (2025), pp. 112771-112771
Open 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
Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer
Chuanhe Shen, J. Wu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fighting sampling bias: A framework for training and evaluating credit scoring models
Nikita Kozodoi, Stefan Lessmann, Morteza Alamgir, et al.
European Journal of Operational Research (2025)
Open Access
LLM-infused bi-level semantic enhancement for corporate credit risk prediction
Sichong Lu, Yi Su, Xiaoming Zhang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104091-104091
Closed Access
Profit-based uncertainty estimation with application to credit scoring
Yong Xu, Gang Kou, Daji Ergu
European Journal of Operational Research (2025)
Open Access
An enhanced iTransformer-based early warning system for predicting automotive rental contract breaches
Ming Jiang, Dongpeng Peng, Haihan Yu, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319786-e0319786
Open Access
An Empirical Assessment of Credit Risk of Indian Companies Using Machine Learning Algorithms
R. Sujatha, D. Kavitha, B. Uma Maheswari, et al.
Communications in computer and information science (2025), pp. 315-334
Closed Access
A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate
Prithwijit Mukherjee, Anisha Halder Roy
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 16, pp. 2303-2324
Closed Access | Times Cited: 11
Boosting credit risk models
Bart Baesens, Kristien Smedts
The British Accounting Review (2023), pp. 101241-101241
Closed Access | Times Cited: 6
Deep Learning and Machine Learning Techniques for Credit Scoring: A Review
Hana Demma Wube, Sintayehu Zekarias Esubalew, Firesew Fayiso Weldesellasie, et al.
Communications in computer and information science (2024), pp. 30-61
Closed Access | Times Cited: 1
A three-stage prediction model for firm default risk: An integration of text sentiment analysis
Xuejiao Ma, T. Che, Qichuan Jiang
Omega (2024), pp. 103207-103207
Closed Access | Times Cited: 1
Cross-modal scenario generation for stock price forecasting using Wasserstein GAN and GCN
Zixu Wang, Bo Wang, You Li, et al.
Applied Soft Computing (2024), pp. 112342-112342
Closed Access | Times Cited: 1
XAI-Driven Model Explainability and Prediction of P2P Bank Loan Default Network
Md. Mahmudul Islam, Ashrafuzzaman Sohag, Mahmudul Hasan, et al.
Lecture notes in networks and systems (2024), pp. 109-121
Closed Access
The Deep Promotion Time Cure Model
Victor Medina-Olivares, Stefan Lessmann, Nadja Klein
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 12, pp. 18848-18858
Open Access
Do CEO and chairman characteristics affect green innovation? Evidence from a comparative analysis of machine learning models
Ruixiang Xue, Tze San Ong, Ezgi Demir
Environment Development and Sustainability (2024)
Closed Access
Research on Financial Report Text Information of Listed Companies Based on BERT Model
Shaopeng Xie
(2024), pp. 93-96
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
The Vasicek distribution autoregressive time-series model for aggregated data of default and delinquency rates
Oliver Blümke
Journal of the Royal Statistical Society Series A (Statistics in Society) (2024)
Closed Access
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