Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Classifiers consensus system approach for credit scoring
Maher Alaraj, Maysam Abbod
Knowledge-Based Systems (2016) Vol. 104, pp. 89-105
Open Access | Times Cited: 185

Showing 26-50 of 185 citing articles:

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
Explainable Artificial Intelligence for Tabular Data: A Survey
Maria Sahakyan, Zeyar Aung, Talal Rahwan
IEEE Access (2021) Vol. 9, pp. 135392-135422
Open Access | Times Cited: 85
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
XGBoost Optimized by Adaptive Particle Swarm Optimization for Credit Scoring
Chao Qin, Yunfeng Zhang, Fangxun Bao, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 75
A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment
Wen-hui Hou, Xiaokang Wang, Hong‐yu Zhang, et al.
Knowledge-Based Systems (2020) Vol. 208, pp. 106462-106462
Closed Access | Times Cited: 74
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Gang Yao, Xiaojian Hu, Guanxiong Wang
Expert Systems with Applications (2022) Vol. 200, pp. 117002-117002
Closed Access | Times Cited: 55
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
Credit risk prediction in an imbalanced social lending environment
Anahita Namvar, Mohammad Siami, Fethi Rabhi, et al.
International Journal of Computational Intelligence Systems (2018) Vol. 11, Iss. 1, pp. 925-925
Open Access | Times Cited: 70
RETRACTED ARTICLE: Intelligent hybrid model for financial crisis prediction using machine learning techniques
J. Uthayakumar, Noura Metawa, K. Shankar, et al.
Information Systems and e-Business Management (2018) Vol. 18, Iss. 4, pp. 617-645
Closed Access | Times Cited: 61
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
Machine learning models and cost-sensitive decision trees for bond rating prediction
Sami Ben Jabeur, Amir Sadaaoui, Asma Sghaier, et al.
Journal of the Operational Research Society (2019) Vol. 71, Iss. 8, pp. 1161-1179
Closed Access | Times Cited: 57
A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring
Wenyu Zhang, Dongqi Yang, Shuai Zhang, et al.
Expert Systems with Applications (2020) Vol. 165, pp. 113872-113872
Closed Access | Times Cited: 56
Step-wise multi-grained augmented gradient boosting decision trees for credit scoring
Wanan Liu, Hong Fan, Min Xia
Engineering Applications of Artificial Intelligence (2020) Vol. 97, pp. 104036-104036
Closed Access | Times Cited: 56
A Multi-Stage Self-Adaptive Classifier Ensemble Model With Application in Credit Scoring
Shanshan Guo, Hongliang He, Xiaoling Huang
IEEE Access (2019) Vol. 7, pp. 78549-78559
Open Access | Times Cited: 55
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems
Leopoldo Melo, Franco Maria Nardini, Chiara Renso, et al.
Expert Systems with Applications (2020) Vol. 152, pp. 113351-113351
Open Access | Times Cited: 55
Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretability
Mohammad Shamsu Uddin, Guotai Chi, Mazin A. M. Al Janabi, et al.
International Journal of Finance & Economics (2020) Vol. 27, Iss. 3, pp. 3713-3729
Closed Access | Times Cited: 53
Making Deep Learning-Based Predictions for Credit Scoring Explainable
Xolani Dastile, Turgay Çelik
IEEE Access (2021) Vol. 9, pp. 50426-50440
Open Access | Times Cited: 47
Applying machine learning algorithms to predict default probability in the online credit market: Evidence from China
Yi Liu, Menglong Yang, Yudong Wang, et al.
International Review of Financial Analysis (2021) Vol. 79, pp. 101971-101971
Closed Access | Times Cited: 46
A novel hybrid ensemble model based on tree-based method and deep learning method for default prediction
Hongliang He, Yanli Fan
Expert Systems with Applications (2021) Vol. 176, pp. 114899-114899
Closed Access | Times Cited: 43
A focal-aware cost-sensitive boosted tree for imbalanced credit scoring
Wanan Liu, Hong Fan, Min Xia, et al.
Expert Systems with Applications (2022) Vol. 208, pp. 118158-118158
Closed Access | Times Cited: 34
An explainable data-driven decision support framework for strategic customer development
Mohsen Abbaspour Onari, Mustafa Jahangoshai Rezaee, Morteza Saberi, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111761-111761
Open Access | Times Cited: 7
Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art
André Aoun Montevechi, Rafael de Carvalho Miranda, André Luiz Medeiros, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109082-109082
Closed Access | Times Cited: 7
Credit default prediction modeling: an application of support vector machine
Fahmida E. Moula, Guotai Chi, Mohammad Zoynul Abedin
Risk Management (2017) Vol. 19, Iss. 2, pp. 158-187
Closed Access | Times Cited: 61
A hybrid deep learning model for consumer credit scoring
Bing Zhu, Wenchuan Yang, Huaxuan Wang, et al.
(2018), pp. 205-208
Closed Access | Times Cited: 58

Scroll to top