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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:

An ensemble semi-supervised learning method for predicting defaults in social lending
Aleum Kim, Sung‐Bae Cho
Engineering Applications of Artificial Intelligence (2019) Vol. 81, pp. 193-199
Closed Access | Times Cited: 55

Showing 1-25 of 55 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: 176
A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique
Feng Shen, Xingchao Zhao, Gang Kou, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106852-106852
Closed Access | Times Cited: 173
A study on predicting loan default based on the random forest algorithm
Lin Zhu, Dafeng Qiu, Daji Ergu, et al.
Procedia Computer Science (2019) Vol. 162, pp. 503-513
Open Access | Times Cited: 147
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 55
Online peer-to-peer lending: A review of the literature
Shabeen Afsar Basha, Mohammed Elgammal, Bana Abuzayed
Electronic Commerce Research and Applications (2021) Vol. 48, pp. 101069-101069
Closed Access | Times Cited: 83
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: 29
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: 27
A Soft-Voting Ensemble Based Co-Training Scheme Using Static Selection for Binary Classification Problems
Stamatis Karlos, Georgios Kostopoulos, Sotiris Kotsiantis
Algorithms (2020) Vol. 13, Iss. 1, pp. 26-26
Open Access | Times Cited: 60
Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets
Štefan Lyócsa, Petra Vašaničová, Branka Hadji Misheva, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 30
An intelligent sequential fraud detection model based on deep learning
Georgios Zioviris, Kostas Kolomvatsos, George Stamoulis
The Journal of Supercomputing (2024) Vol. 80, Iss. 10, pp. 14824-14847
Open Access | Times Cited: 8
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
Listening to the investors: A novel framework for online lending default prediction using deep learning neural networks
Xiangling Fu, Tianxiong Ouyang, Jinpeng Chen, et al.
Information Processing & Management (2020) Vol. 57, Iss. 4, pp. 102236-102236
Closed Access | Times Cited: 35
Credit card fraud detection using a deep learning multistage model
Georgios Zioviris, Kostas Kolomvatsos, George Stamoulis
The Journal of Supercomputing (2022) Vol. 78, Iss. 12, pp. 14571-14596
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
Semi-supervised hierarchical ensemble clustering based on an innovative distance metric and constraint information
Baohua Shen, Juan Jiang, Feng Qian, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106571-106571
Closed Access | Times Cited: 10
A novel augmentation strategy for credit scoring modeling
Valerio La Gatta, Marco Postiglione, Giancarlo Sperlì
Neural Computing and Applications (2025)
Open Access
A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending
Yufei Xia
IEEE Access (2019) Vol. 7, pp. 92893-92907
Open Access | Times Cited: 29
A clustering-based approach for the evaluation of candidate emerging technologies
Serkan Altuntaş, Zülfiye Erdoğan, Türkay Dereli
Scientometrics (2020) Vol. 124, Iss. 2, pp. 1157-1177
Closed Access | Times Cited: 24
Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions
Miller Janny Ariza Garzón, María‐del‐Mar Camacho‐Miñano, María Jesús Segovia Vargas, et al.
Electronic Commerce Research and Applications (2021) Vol. 49, pp. 101079-101079
Open Access | Times Cited: 23
Enhancement of a multi-dialectal sentiment analysis system by the detection of the implied sarcastic features
Ibtissam Touahri, Azzeddine Mazroui
Knowledge-Based Systems (2021) Vol. 227, pp. 107232-107232
Closed Access | Times Cited: 18
Prediction of loan default based on multi-model fusion
LI Xing-yun, Daji Ergu, Di Zhang, et al.
Procedia Computer Science (2022) Vol. 199, pp. 757-764
Open Access | Times Cited: 13
Credit Risk Models for Financial Fraud Detection
Huosong Xia, Wuyue An, Zuopeng Zhang
Journal of Database Management (2023) Vol. 34, Iss. 1, pp. 1-20
Open Access | Times Cited: 7
Prediction of bank Loan Status using Machine Learning Algorithms
Yakobu Dasari, Katiki Rishitha, Ongole Gandhi
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 139-146
Open Access | Times Cited: 7
A Sentiment-Aware Trading Volume Prediction Model for P2P Market Using LSTM
Xiangling Fu, Shuai Zhang, Jinpeng Chen, et al.
IEEE Access (2019) Vol. 7, pp. 81934-81944
Open Access | Times Cited: 19
How can we learn from a borrower’s online behaviors? The signal effect of a borrower’s platform involvement on its credit risk
Xinyin Tang, Zhu Jianping, Minna He, et al.
Electronic Commerce Research and Applications (2023) Vol. 59, pp. 101272-101272
Closed Access | Times Cited: 6
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