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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 two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network
Jiaming Liu, Sicheng Zhang, Haoyue Fan
Expert Systems with Applications (2022) Vol. 195, pp. 116624-116624
Closed Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

Enhancing the explanation of household water consumption through the water-energy nexus concept
Zonghan Li, Chunyan Wang, Yi Liu, et al.
npj Clean Water (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
Clustering and diagnosis of crack images of tunnel linings via graph neural networks
Zhong Zhou, Shirong Zhou, Yidi Zheng, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-13
Closed Access | Times Cited: 3
Generalized machine learning models to predict significant wave height utilizing wind and atmospheric parameters
Abid Hasan, Imrul Kayes, Minhazul Alam, et al.
Energy Conversion and Management X (2024) Vol. 23, pp. 100623-100623
Open Access | Times Cited: 3
Bitcoin Price Forecasting: An Integrated Approach Using Hybrid LSTM-ELM Models
Changqing Luo, Lurun Pan, Binwei Chen, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 14
Optimized backpropagation neural network for risk prediction in corporate financial management
Lingzi Gu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Development and application of a hybrid forecasting framework based on improved extreme learning machine for enterprise financing risk
Zongguo Ma, Xu Wang, Yan Hao
Expert Systems with Applications (2022) Vol. 215, pp. 119373-119373
Closed Access | Times Cited: 12
Risk prediction and early warning of pilots’ unsafe behaviors using association rule mining and system dynamics
Qin Xiao, Fan Luo, Yapeng Li, et al.
Journal of Air Transport Management (2023) Vol. 110, pp. 102422-102422
Closed Access | Times Cited: 7
A Method for Straightening Distorted Giga-Cast Large Thin-Walled Components
Donghwi Park, Joonhee Park, Naksoo Kim
Materials (2024) Vol. 17, Iss. 10, pp. 2241-2241
Open Access | Times Cited: 2
CATE: Contrastive augmentation and tree-enhanced embedding for credit scoring
Ying Gao, Haolang Xiao, Choujun Zhan, et al.
Information Sciences (2023) Vol. 651, pp. 119447-119447
Closed Access | Times Cited: 6
National student loans default risk prediction: A heterogeneous ensemble learning approach and the SHAP method
Yuan Wang, Yanbo Zhang, Mengkun Liang, et al.
Computers and Education Artificial Intelligence (2023) Vol. 5, pp. 100166-100166
Open Access | Times Cited: 6
Forecasting credit default risk with graph attention networks
Binbin Zhou, Jiayun Jin, Hang Zhou, et al.
Electronic Commerce Research and Applications (2023) Vol. 62, pp. 101332-101332
Closed Access | Times Cited: 6
Privacy‐preserving credit risk analysis based on homomorphic encryption aware logistic regression in the cloud
V. V. L. Divakar Allavarpu, Vankamamidi S. Naresh, A. Krishna Mohan
Security and Privacy (2024) Vol. 7, Iss. 3
Closed Access | Times Cited: 2
Personal credit default prediction fusion framework based on self-attention and cross-network algorithms
Di Han, Wei Guo, Yi Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107977-107977
Closed Access | Times Cited: 2
Explainable Machine Learning for Credit Risk Management When Features are Dependent
Thanh Thao Vo Thuy, Golnoosh Babaei, Paolo Pagnottoni
Measurement Interdisciplinary Research and Perspectives (2024) Vol. 22, Iss. 4, pp. 315-340
Closed Access | Times Cited: 2
ІННОВАЦІЙНІ ПІДХОДИ ДО МІНІМІЗАЦІЇ ФІНАНСОВИХ РИЗИКІВ: ПЕРСПЕКТИВИ ДЛЯ ЦИФРОВОГО БІЗНЕСУ ТА СИСТЕМ БУХГАЛТЕРСЬКОГО ОБЛІКУ
Світлана Джерелейко, Victoria Borisova, Ірина Конєва, et al.
Financial and credit activity problems of theory and practice (2024) Vol. 4, Iss. 57, pp. 67-79
Open Access | Times Cited: 2
Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science
Vadipina Amarnadh, Nageswara Rao Moparthi
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 1265-1282
Closed Access | Times Cited: 5
Meta-Learning Approaches for Recovery Rate Prediction
Paolo Gambetti, Francesco Roccazzella, Frédéric Vrins
Risks (2022) Vol. 10, Iss. 6, pp. 124-124
Open Access | Times Cited: 8
Prediction of Supply Chain Financial Credit Risk Based on PCA-GA-SVM Model
Meiyan Li, Yingjun Fu
Sustainability (2022) Vol. 14, Iss. 24, pp. 16376-16376
Open Access | Times Cited: 8
Artificial intelligence techniques for financial distress prediction
Junhao Zhong, Zhenzhen Wang
AIMS Mathematics (2022) Vol. 7, Iss. 12, pp. 20891-20908
Open Access | Times Cited: 8
Machine Learning for Credit Risk Prediction: A Systematic Literature Review
Jomark Noriega, Luis Rivera, José Herrera
(2023)
Open Access | Times Cited: 4
Multi-view locally weighted regression for loss given default forecasting
H Cheng, Cuiqing Jiang, Zhao Wang, et al.
International Journal of Forecasting (2024)
Closed Access | Times Cited: 1
Research on the Application of Machine Learning in Orderly Charging Demand Prediction and Scheduling Optimization of Charging Piles
Shan He, Yuming Zhao, Dehuang Bi, et al.
(2024), pp. 825-829
Closed Access | Times Cited: 1
Evolutionary-based ensemble feature selection technique for dynamic application-specific credit risk optimization in FinTech lending
Mehrafarin Shetabi
Annals of Operations Research (2024)
Closed Access | Times Cited: 1
Implementation of Big Data Analytics in Credit Risk Management in the Banking and Financial Services Sector: A Contemporary Literature Review
Md Junayed Hossain
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 3
Meta-Learning Approaches for Recovery Rate Prediction
Francesco Roccazzella, Paolo Gambetti, Frédéric Vrins
SSRN Electronic Journal (2022)
Open Access | Times Cited: 4

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