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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 insight into the experimental design for credit risk and corporate bankruptcy prediction systems
Vicente García, Ana I. Marqués, J. Salvador Sánchez
Journal of Intelligent Information Systems (2014) Vol. 44, Iss. 1, pp. 159-189
Closed Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

Credit card fraud forecasting model based on clustering analysis and integrated support vector machine
Chunhua Wang, Dong Han
Cluster Computing (2018) Vol. 22, Iss. S6, pp. 13861-13866
Closed Access | Times Cited: 41
Dynamic weighted ensemble classification for credit scoring using Markov Chain
Xiaodong Feng, Zhi Xiao, Bo Zhong, et al.
Applied Intelligence (2018) Vol. 49, Iss. 2, pp. 555-568
Closed Access | Times Cited: 40
Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective
Yoichi Hayashi
Operations Research Perspectives (2016) Vol. 3, pp. 32-42
Open Access | Times Cited: 38
Cost-Sensitive Metaheuristic Optimization-Based Neural Network with Ensemble Learning for Financial Distress Prediction
Salah Al-Deen Safi, Pedro Á. Castillo, Hossam Faris
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 6918-6918
Open Access | Times Cited: 20
Predicting credit risk on the basis of financial and non-financial variables and data mining
Sihem Khemakhem, Younés Boujelbène
Review of Accounting and Finance (2018) Vol. 17, Iss. 3, pp. 316-340
Closed Access | Times Cited: 36
Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches
Guotai Chi, Mohammad Shamsu Uddin, Mohammad Zoynul Abedin, et al.
International Journal of Artificial Intelligence Tools (2019) Vol. 28, Iss. 05, pp. 1950017-1950017
Closed Access | Times Cited: 34
Feature selection in credit risk modeling: an international evidence
Ying Zhou, Mohammad Shamsu Uddin, Tabassum Habib, et al.
Economic Research-Ekonomska Istraživanja (2021) Vol. 34, Iss. 1, pp. 3064-3091
Open Access | Times Cited: 23
Dissimilarity-Based Linear Models for Corporate Bankruptcy Prediction
Vicente García, Ana I. Marqués, J. Salvador Sánchez, et al.
Computational Economics (2017) Vol. 53, Iss. 3, pp. 1019-1031
Closed Access | Times Cited: 29
High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring
Yoichi Hayashi, Tatsuhiro Oishi
New Generation Computing (2018) Vol. 36, Iss. 4, pp. 393-418
Closed Access | Times Cited: 24
A heuristic method for discovering multi-class classification rules from multi-source data in cloud–edge system
Jing Shang, Zhiwen Xiao, Tao Tao, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101962-101962
Open Access | Times Cited: 2
Bankruptcy prediction using machine learning and an application to the case of the COVID-19 recession
Aditya Narvekar, Debashis Guha
Data Science in Finance and Economics (2021) Vol. 1, Iss. 2, pp. 180-195
Open Access | Times Cited: 17
Ten-year evolution on credit risk research: a systematic literature review approach and discussion
Fernanda Medeiros Assef, María Teresinha Arns Steiner
Ingeniería e Investigación (2020) Vol. 40, Iss. 2
Open Access | Times Cited: 14
Comprehensive credit scoring datasets for robust testing: Out-of-sample, out-of-time, and out-of-universe evaluation
Jonah Mushava, Michael P. Murray
Data in Brief (2024) Vol. 54, pp. 110262-110262
Open Access | Times Cited: 1
Optimizing machine learning models for wheat yield estimation using a comprehensive UAV dataset
Shovkat Khodjaev, Ihtiyor Bobojonov, Lena Kuhn, et al.
Modeling Earth Systems and Environment (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Shaping graph pattern mining for financial risk
Bernardete Ribeiro, Ning Chen, Alexander Kovačec
Neurocomputing (2017) Vol. 326-327, pp. 123-131
Closed Access | Times Cited: 14
An insight into the effects of class imbalance and sampling on classification accuracy in credit risk assessment
Kristina Andric, Damir Kalpić, Zoran Bohaček
Computer Science and Information Systems (2018) Vol. 16, Iss. 1, pp. 155-178
Open Access | Times Cited: 11
Effectiveness of semi-supervised learning in bankruptcy prediction
Stamatis Karlos, Sotiris Kotsiantis, Nikos Fazakis, et al.
(2016), pp. 1-6
Closed Access | Times Cited: 9
Forecasting Financial Distress With Machine Learning – A Review
Denize Lemos Duarte, Flávio Barboza
Future Studies Research Journal Trends and Strategies (2020) Vol. 12, Iss. 3, pp. 528-574
Open Access | Times Cited: 8
Data mining techniques: Modern approaches to application in credit scoring
E. S. Volkova, V. B. Gisin, В. И. Соловьев
Finance and Credit (2017) Vol. 23, Iss. 34, pp. 2044-2060
Open Access | Times Cited: 8
The applicability of credit scoring models in emerging economies: an evidence from Jordan
Maher Alaraj, Maysam Abbod, Mohammed Radi
International Journal of Islamic and Middle Eastern Finance and Management (2018) Vol. 11, Iss. 4, pp. 608-630
Open Access | Times Cited: 8
Classification Methods in the Research on the Financial Standing of Construction Enterprises After Bankruptcy in Poland
Barbara Pawełek, Krzysztof Gałuszka, Jadwiga Kostrzewska, et al.
Studies in classification, data analysis, and knowledge organization (2017), pp. 29-42
Closed Access | Times Cited: 7
Transparent Decision Support System for Credit Risk Evaluation: An automated credit approval system
Abhinaba Dattachaudhuri, Saroj Kr. Biswas, Sunita Sarkar, et al.
(2020), pp. 1-5
Closed Access | Times Cited: 7
Dynamic Aspects of Bankruptcy Prediction Logit Model for Manufacturing Firms in Poland
Barbara Pawełek, Józef Pociecha, Mateusz Baryła
Studies in classification, data analysis, and knowledge organization (2016), pp. 369-382
Closed Access | Times Cited: 6
Sequence-based clustering applied to long-term credit risk assessment
Richard H. Le, Hyejin Ku, Doobae Jun
Expert Systems with Applications (2020) Vol. 165, pp. 113940-113940
Closed Access | Times Cited: 6
Data Mining Techniques: Modern Approaches to Application in Credit Scoring
V.S. Volkova, V. B. Gisin, В. И. Соловьев
Digest Finance (2017) Vol. 22, Iss. 4, pp. 400-412
Open Access | Times Cited: 5

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