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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 new hybrid ensemble credit scoring model based on classifiers consensus system approach
Maher Alaraj, Maysam Abbod
Expert Systems with Applications (2016) Vol. 64, pp. 36-55
Open Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring
Yufei Xia, Chuanzhe Liu, Yuying Li, et al.
Expert Systems with Applications (2017) Vol. 78, pp. 225-241
Closed Access | Times Cited: 654
Machine Learning in Banking Risk Management: A Literature Review
Martin Leo, Suneel Sharma, K. Maddulety
Risks (2019) Vol. 7, Iss. 1, pp. 29-29
Open Access | Times Cited: 331
A novel ensemble method for credit scoring: Adaption of different imbalance ratios
Hongliang He, Wenyu Zhang, Shuai Zhang
Expert Systems with Applications (2018) Vol. 98, pp. 105-117
Closed Access | Times Cited: 216
A novel heterogeneous ensemble credit scoring model based on bstacking approach
Yufei Xia, Chuanzhe Liu, Bowen Da, et al.
Expert Systems with Applications (2017) Vol. 93, pp. 182-199
Closed Access | Times Cited: 187
Application of RBF neural network optimal segmentation algorithm in credit rating
Xuetao Li, Yi Sun
Neural Computing and Applications (2020) Vol. 33, Iss. 14, pp. 8227-8235
Closed Access | Times Cited: 159
Two-stage consumer credit risk modelling using heterogeneous ensemble learning
Monika Papoušková, Petr Hájek
Decision Support Systems (2019) Vol. 118, pp. 33-45
Closed Access | Times Cited: 154
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
Paweł Pławiak, Moloud Abdar, U. Rajendra Acharya
Applied Soft Computing (2019) Vol. 84, pp. 105740-105740
Closed Access | Times Cited: 154
Assessing credit risk of commercial customers using hybrid machine learning algorithms
Marcos Machado, Salma Karray
Expert Systems with Applications (2022) Vol. 200, pp. 116889-116889
Closed Access | Times Cited: 82
DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring
Paweł Pławiak, Moloud Abdar, Joanna Pławiak, et al.
Information Sciences (2019) Vol. 516, pp. 401-418
Open Access | Times Cited: 135
Integration of unsupervised and supervised machine learning algorithms for credit risk assessment
Bao Wang, Lianju Ning, Yue Kong
Expert Systems with Applications (2019) Vol. 128, pp. 301-315
Closed Access | Times Cited: 130
Digitalisation and Big Data Mining in Banking
Hossein Hassani, Xu Huang, Emmanuel Sirimal Silva
Big Data and Cognitive Computing (2018) Vol. 2, Iss. 3, pp. 18-18
Open Access | Times Cited: 123
A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring
Wenyu Zhang, Hongliang He, Shuai Zhang
Expert Systems with Applications (2018) Vol. 121, pp. 221-232
Closed Access | Times Cited: 118
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
Vicente García, Ana I. Marqués, J. Salvador Sánchez
Information Fusion (2018) Vol. 47, pp. 88-101
Open Access | Times Cited: 117
A Comparative Performance Assessment of Ensemble Learning for Credit Scoring
Yiheng Li, Weidong Chen
Mathematics (2020) Vol. 8, Iss. 10, pp. 1756-1756
Open Access | Times Cited: 108
Big Data techniques to measure credit banking risk in home equity loans
Agustín Pérez, Agustin Pérez-Torregrosa, Marta Vaca
Journal of Business Research (2018) Vol. 89, pp. 448-454
Closed Access | Times Cited: 97
A novel ensemble classification model based on neural networks and a classifier optimisation technique for imbalanced credit risk evaluation
Feng Shen, Xingchao Zhao, Zhiyong Li, et al.
Physica A Statistical Mechanics and its Applications (2019) Vol. 526, pp. 121073-121073
Closed Access | Times Cited: 91
A novel tree-based dynamic heterogeneous ensemble method for credit scoring
Yufei Xia, Junhao Zhao, Lingyun He, et al.
Expert Systems with Applications (2020) Vol. 159, pp. 113615-113615
Closed Access | Times Cited: 85
Predicting loan default in peer‐to‐peer lending using narrative data
Yufei Xia, Lingyun He, Yinguo Li, et al.
Journal of Forecasting (2019) Vol. 39, Iss. 2, pp. 260-280
Closed Access | Times Cited: 81
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
Credit scoring based on tree-enhanced gradient boosting decision trees
Wanan Liu, Hong Fan, Meng Xia
Expert Systems with Applications (2021) Vol. 189, pp. 116034-116034
Closed Access | Times Cited: 79
Credit scoring methods: Latest trends and points to consider
Anton Markov, Zinaida Seleznyova, Victor Lapshin
The Journal of Finance and Data Science (2022) Vol. 8, pp. 180-201
Open Access | Times Cited: 40
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
Artificial intelligence applications in finance: a survey
Xuemei Li, Alexander Sigov, Leonid Ratkin, et al.
Journal of Management Analytics (2023) Vol. 10, Iss. 4, pp. 676-692
Closed Access | Times Cited: 25
New hybrid data mining model for credit scoring based on feature selection algorithm and ensemble classifiers
Jasmina Nalić, Goran Martinović, Drago Žagar
Advanced Engineering Informatics (2020) Vol. 45, pp. 101130-101130
Closed Access | Times Cited: 67
A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification
Diwakar Tripathi, Damodar Reddy Edla, Ramalingaswamy Cheruku, et al.
Computational Intelligence (2019) Vol. 35, Iss. 2, pp. 371-394
Closed Access | Times Cited: 58
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