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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:

Multi-view ensemble learning based on distance-to-model and adaptive clustering for imbalanced credit risk assessment in P2P lending
Yu Pu Song, Yuyan Wang, Xin Ye, et al.
Information Sciences (2020) Vol. 525, pp. 182-204
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A benchmark of machine learning approaches for credit score prediction
Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì
Expert Systems with Applications (2020) Vol. 165, pp. 113986-113986
Closed Access | Times Cited: 174
Machine learning-driven credit risk: a systemic review
Si Shi, Rita Tse, Wuman Luo, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 17, pp. 14327-14339
Open Access | Times Cited: 73
A graph neural network-based node classification model on class-imbalanced graph data
Zhenhua Huang, Yinhao Tang, Yunwen Chen
Knowledge-Based Systems (2022) Vol. 244, pp. 108538-108538
Closed Access | Times Cited: 45
New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning
Much Aziz Muslim, Tiara Lailatul Nikmah, Dwika Ananda Agustina Pertiwi, et al.
Intelligent Systems with Applications (2023) Vol. 18, pp. 200204-200204
Open Access | Times Cited: 40
Loan default prediction using a credit rating-specific and multi-objective ensemble learning scheme
Yu Pu Song, Yuyan Wang, Xin Ye, et al.
Information Sciences (2023) Vol. 629, pp. 599-617
Closed Access | Times Cited: 30
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Xiaoming Zhang, Lean Yu
Expert Systems with Applications (2023) Vol. 237, pp. 121484-121484
Closed Access | Times Cited: 26
EGMM: An evidential version of the Gaussian mixture model for clustering
Lianmeng Jiao, Thierry Denœux, Zhunga Liu, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109619-109619
Open Access | Times Cited: 31
True wide convolutional neural network for image denoising
Gang Liu, Min Dang, Jing Liu, et al.
Information Sciences (2022) Vol. 610, pp. 171-184
Closed Access | Times Cited: 30
Multi-view cost-sensitive kernel learning for imbalanced classification problem
Jingjing Tang, Zhaojie Hou, Xiaotong Yu, et al.
Neurocomputing (2023) Vol. 552, pp. 126562-126562
Closed Access | Times Cited: 18
MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification
Zhaojie Hou, Jingjing Tang, Yan Li, et al.
Information Sciences (2024) Vol. 675, pp. 120467-120467
Closed Access | Times Cited: 7
Tax Default Prediction Using Feature Transformation-Based Machine Learning
Mohammad Zoynul Abedin, Guotai Chi, Mohammed Mohi Uddin, et al.
IEEE Access (2020) Vol. 9, pp. 19864-19881
Open Access | Times Cited: 43
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection
Lixin Cui, Lu Bai, Yanchao Wang, et al.
Pattern Recognition (2021) Vol. 114, pp. 107835-107835
Closed Access | Times Cited: 38
A Novel Method for Credit Scoring Based on Cost-Sensitive Neural Network Ensemble
Wirot Yotsawat, Pakaket Wattuya, Anongnart Srivihok
IEEE Access (2021) Vol. 9, pp. 78521-78537
Open Access | Times Cited: 36
Anticipating financial distress of high‐tech startups in the European Union: A machine learning approach for imbalanced samples
Yang Liu, Qingguo Zeng, Bobo Li, et al.
Journal of Forecasting (2022) Vol. 41, Iss. 6, pp. 1131-1155
Closed Access | Times Cited: 22
Evolving ensembles using multi-objective genetic programming for imbalanced classification
Liang Zhang, Kefan Wang, Luyuan Xu, et al.
Knowledge-Based Systems (2022) Vol. 255, pp. 109611-109611
Closed Access | Times Cited: 22
A novel augmentation strategy for credit scoring modeling
Valerio La Gatta, Marco Postiglione, Giancarlo Sperlì
Neural Computing and Applications (2025)
Open Access
Multi-view reject inference for semi-supervised credit scoring with consistency training and three-way decision
Haoxin Tang, Decui Liang
Omega (2025), pp. 103280-103280
Closed Access
Explainable AI based LightGBM prediction model to predict default borrower in Social Lending platform
Li-Hua Li, Alok Kumar Sharma, Sheng-Tzong Cheng
Intelligent Systems with Applications (2025), pp. 200514-200514
Open Access
Multi-view representation learning with Kolmogorov-Smirnov to predict default based on imbalanced and complex dataset
Yandan Tan, Guangcai Zhao
Information Sciences (2022) Vol. 596, pp. 380-394
Closed Access | Times Cited: 19
Empirical Analysis of Ensemble Learning for Imbalanced Credit Scoring Datasets: A Systematic Review
Sudhansu R. Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 19
A clustering-based adaptive undersampling ensemble method for highly unbalanced data classification
Xiaohan Yuan, Chuan Sun, Shuyu Chen
Applied Soft Computing (2024) Vol. 159, pp. 111659-111659
Closed Access | Times Cited: 4
A Heterogeneous Ensemble Learning Method For Neuroblastoma Survival Prediction
Yi Feng, Xianglin Wang, Juan Zhang
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1472-1483
Closed Access | Times Cited: 26
A credit scoring model based on the Myers–Briggs type indicator in online peer-to-peer lending
Hyunwoo Woo, So Young Sohn
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 16
Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation
Yong Shi, Yi Qu, Zhensong Chen, et al.
European Journal of Operational Research (2023) Vol. 315, Iss. 2, pp. 786-801
Closed Access | Times Cited: 9
Two‐stage credit risk prediction framework based on three‐way decisions with automatic threshold learning
Yusheng Li, Mengyi Sha
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1263-1277
Closed Access | Times Cited: 3
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