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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:

Predicting business failure using multiple case-based reasoning combined with support vector machine
Hui Li, Jie Sun
Expert Systems with Applications (2009) Vol. 36, Iss. 6, pp. 10085-10096
Closed Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Flood hazard risk assessment model based on random forest
Zhaoli Wang, Chengguang Lai, Xiaohong Chen, et al.
Journal of Hydrology (2015) Vol. 527, pp. 1130-1141
Closed Access | Times Cited: 689
Machine Learning in Financial Crisis Prediction: A Survey
Wei-Yang Lin, Ya‐Han Hu, Chih‐Fong Tsai
IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) (2011) Vol. 42, Iss. 4, pp. 421-436
Closed Access | Times Cited: 300
Bankruptcy prediction using imaged financial ratios and convolutional neural networks
Tadaaki Hosaka
Expert Systems with Applications (2018) Vol. 117, pp. 287-299
Closed Access | Times Cited: 255
Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction
Jinxian Zhao, Jamal Ouenniche, Johannes De Smedt
Machine Learning with Applications (2024) Vol. 15, pp. 100527-100527
Open Access | Times Cited: 16
Going-concern prediction using hybrid random forests and rough set approach
Ching-Chiang Yeh, Der‐Jang Chi, Yirong Lin
Information Sciences (2013) Vol. 254, pp. 98-110
Closed Access | Times Cited: 122
Novel feature selection methods to financial distress prediction
Fengyi Lin, Deron Liang, Ching-Chiang Yeh, et al.
Expert Systems with Applications (2013) Vol. 41, Iss. 5, pp. 2472-2483
Closed Access | Times Cited: 121
An Effective Financial Statements Fraud Detection Model for the Sustainable Development of Financial Markets: Evidence from Taiwan
Chyan-long Jan
Sustainability (2018) Vol. 10, Iss. 2, pp. 513-513
Open Access | Times Cited: 97
Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets
Martin Zoričák, Peter Gnip, Peter Drotár, et al.
Economic Modelling (2019) Vol. 84, pp. 165-176
Closed Access | Times Cited: 86
Using Artificial Intelligence (AI) to predict organizational agility
Niusha Shafiabady, Nick Hadjinicolaou, Fareed Ud Din, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0283066-e0283066
Open Access | Times Cited: 31
Financial ratio selection for business crisis prediction
Fengyi Lin, Deron Liang, Enchia Chen
Expert Systems with Applications (2011) Vol. 38, Iss. 12, pp. 15094-15102
Closed Access | Times Cited: 101
Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection
Lean Yu, Xiao Yao, Shouyang Wang, et al.
Expert Systems with Applications (2011) Vol. 38, Iss. 12, pp. 15392-15399
Closed Access | Times Cited: 95
A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms
Yin Shi, Xiaoni Li
Heliyon (2019) Vol. 5, Iss. 12, pp. e02997-e02997
Open Access | Times Cited: 70
The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation
Mohammad Mahdi Mousavi, Jilei Lin
Expert Systems with Applications (2020) Vol. 159, pp. 113438-113438
Closed Access | Times Cited: 66
Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design
Salim Lahmiri, Stelios Bekiros
Quantitative Finance (2019) Vol. 19, Iss. 9, pp. 1569-1577
Open Access | Times Cited: 54
Ranking-based MCDM models in financial management applications: analysis and emerging challenges
Ana I. Marqués, Vicente García, J. Salvador Sánchez
Progress in Artificial Intelligence (2020) Vol. 9, Iss. 3, pp. 171-193
Closed Access | Times Cited: 51
A case-based reasoning driven ensemble learning paradigm for financial distress prediction with missing data
Lean Yu, Mengxin Li
Applied Soft Computing (2023) Vol. 137, pp. 110163-110163
Closed Access | Times Cited: 19
A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data
Lean Yu, Mengxin Li, Xiaojun Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123745-123745
Closed Access | Times Cited: 7
The use of hybrid manifold learning and support vector machines in the prediction of business failure
Fengyi Lin, Ching-Chiang Yeh, Meng-Yuan Lee
Knowledge-Based Systems (2010) Vol. 24, Iss. 1, pp. 95-101
Closed Access | Times Cited: 79
HYBRID NEURAL INTELLIGENT SYSTEM TO PREDICT BUSINESS FAILURE IN SMALL-TO-MEDIUM-SIZE ENTERPRISES
L. Borrajo, Bruno Baruque, Emilio Corchado, et al.
International Journal of Neural Systems (2011) Vol. 21, Iss. 04, pp. 277-296
Closed Access | Times Cited: 77
Mining financial distress trend data using penalty guided support vector machines based on hybrid of particle swarm optimization and artificial bee colony algorithm
Tsung-Jung Hsieh, Hsiao-Fen Hsiao, Wei‐Chang Yeh
Neurocomputing (2011) Vol. 82, pp. 196-206
Closed Access | Times Cited: 63
Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine
Hui Li, Changjiang Li, Xianjun Wu, et al.
Applied Soft Computing (2014) Vol. 19, pp. 57-67
Closed Access | Times Cited: 57
An ontology-based CBR approach for personalized itinerary search systems for sustainable urban freight transport
Amna Bouhana, A. Zidi, Afef Fekih, et al.
Expert Systems with Applications (2014) Vol. 42, Iss. 7, pp. 3724-3741
Closed Access | Times Cited: 52
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Wu He
Expert Systems with Applications (2012) Vol. 40, Iss. 2, pp. 500-507
Closed Access | Times Cited: 54
Assessing methodologies for intelligent bankruptcy prediction
Efstathios Kirkos
Artificial Intelligence Review (2012) Vol. 43, Iss. 1, pp. 83-123
Closed Access | Times Cited: 48
Deep Learning-Based Corporate Performance Prediction Model Considering Technical Capability
Joonhyuck Lee, Dong‐Sik Jang, Sangsung Park
Sustainability (2017) Vol. 9, Iss. 6, pp. 899-899
Open Access | Times Cited: 41
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