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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 improved boosting based on feature selection for corporate bankruptcy prediction
Gang Wang, Jian Ma, Shanlin Yang
Expert Systems with Applications (2013) Vol. 41, Iss. 5, pp. 2353-2361
Closed Access | Times Cited: 168

Showing 76-100 of 168 citing articles:

La predicción del fracaso empresarial de las cooperativas españolas. Aplicación del Algoritmo Extreme Gradient Boosting
Mariano Romero Martínez, Pedro Carmona, José Pozuelo Campillo
CIRIEC-España revista de economía pública social y cooperativa (2021), Iss. 101, pp. 255-288
Open Access | Times Cited: 12
Iterative Feature eXclusion (IFX): Mitigating feature starvation in gradient boosted decision trees
Amiel Meiseles, Lior Rokach
Knowledge-Based Systems (2024) Vol. 289, pp. 111546-111546
Closed Access | Times Cited: 1
Exploring the Role of Global Value Chain Position in Economic Models for Bankruptcy Forecasting
Mélanie Croquet, Loredana Cultrera, Dimitri Laroutis, et al.
(2024)
Open Access | Times Cited: 1
Bankruptcy Prediction of Engineering Companies in the EU Using Classification Methods
Michaela Staňková, David Hampel
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis (2018) Vol. 66, Iss. 5, pp. 1347-1356
Open Access | Times Cited: 14
Internet of Things Enabled Financial Crisis Prediction in Enterprises Using Optimal Feature Subset Selection-Based Classification Model
Noura Metawa, Phong Thanh Nguyen, Quyen Le Hoang Thuy To Nguyen, et al.
Big Data (2021) Vol. 9, Iss. 5, pp. 331-342
Closed Access | Times Cited: 11
Corporate Bankruptcy Prediction Models: A Comparative Study for the Construction Sector in Greece
Kanellos Toudas, Stefanos Archontakis, Paraskevi Boufounou
Computation (2024) Vol. 12, Iss. 1, pp. 9-9
Open Access | Times Cited: 1
A Multi-head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data
Gianfranco Lombardo, Mattia Pellegrino, Stefano Cagnoni, et al.
(2024)
Open Access | Times Cited: 1
Interpretable Multiclass Models for Corporate Credit Rating Capable of Expressing Doubt
Lennart Obermann, Stephan Waack
Frontiers in Applied Mathematics and Statistics (2016) Vol. 2
Open Access | Times Cited: 11
A Deep Dense Neural Network for Bankruptcy Prediction
Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris Kotsiantis, et al.
Communications in computer and information science (2019), pp. 435-444
Closed Access | Times Cited: 11
Innovative default prediction approach
Július Bemš, Oldřich Starý, Martin Macaš, et al.
Expert Systems with Applications (2015) Vol. 42, Iss. 17-18, pp. 6277-6285
Closed Access | Times Cited: 10
Análisis de la utilidad del algoritmo Gradient Boosting Machine (GBM) en la predicción del fracaso empresarial
José Pozuelo Campillo, Julián Martínez Vargas, Pedro Carmona
Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad (2018) Vol. 47, Iss. 4, pp. 507-532
Closed Access | Times Cited: 10
Financial ratios as a powerful instrument to predict insolvency; a study using boosting algorithms in Colombian firms
Diego Andrés Correa Mejía, Mauricio Lopera-Castaño
Estudios Gerenciales (2020), pp. 229-238
Open Access | Times Cited: 9
An Enhanced TSA-MLP Model for Identifying Credit Default Problems
Jianhua Jiang, Xianqiu Meng, Yang Liu, et al.
SAGE Open (2022) Vol. 12, Iss. 2
Open Access | Times Cited: 6
A dynamic performance evaluation of distress prediction models
Mohammad Mahdi Mousavi, Jamal Ouenniche, Kaoru Tone
Journal of Forecasting (2022) Vol. 42, Iss. 4, pp. 756-784
Open Access | Times Cited: 6
A deep learning approach of financial distress recognition combining text
Yueyi Li, Chongren Wang
Electronic Research Archive (2023) Vol. 31, Iss. 8, pp. 4683-4707
Open Access | Times Cited: 3
The Application of Graph-Structured Cox Model in Financial Risk Early Warning of Companies
Xiangxing Tao, Mingxin Wang, Yanting Ji
Sustainability (2023) Vol. 15, Iss. 14, pp. 10802-10802
Open Access | Times Cited: 3
Research on the Impact of AI Application on Capital Chain Resilience
Rensi Li
Engineering Economics (2023) Vol. 34, Iss. 5, pp. 536-553
Open Access | Times Cited: 3
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
A Study of Dimensionality Reduction Techniques with Machine Learning Methods for Credit Risk Prediction
E. Sivasankar, C. Selvi, C. Mala
Advances in intelligent systems and computing (2017), pp. 65-76
Closed Access | Times Cited: 8
Analysis of credit risk faced by public companies in Brazil: an approach based on discriminant analysis, logistic regression and artificial neural networks
José Willer do Prado, Francisval de Melo Carvalho, Gideon Carvalho de Benedicto, et al.
Estudios Gerenciales (2019), pp. 347-360
Open Access | Times Cited: 8
COVID-19 and firms' financial health in Brescia: a simulation with Logistic regression and neural networks
Alberto Bernardi, Daniela Bragoli, Davide Fedreghini, et al.
National Accounting Review (2021) Vol. 3, Iss. 3, pp. 293-309
Open Access | Times Cited: 7
Optimized Stacked Autoencoder for IoT Enabled Financial Crisis Prediction Model
Amgad Muneer, Shakirah Mohd Taib, Suliman Mohamed Fati, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 1, pp. 1079-1094
Open Access | Times Cited: 7
MultiClass Decision Forest Machine Learning Artificial Intelligence
Bambang Banu Siswoyo
Journal of Applied Informatics and Computing (2020) Vol. 4, Iss. 1, pp. 1-7
Open Access | Times Cited: 7
Development of Hybrid Boosting Technique for Bankruptcy Prediction
Gautam Kumar, Smita Roy
(2016) Vol. 99, pp. 248-253
Closed Access | Times Cited: 6
Dimension Reduction in Bankruptcy Prediction: A Case Study of North American Companies
Son Nguyen, Edward Golas, William H. Zywiak, et al.
Advances in business and management forecasting (2019), pp. 83-92
Closed Access | Times Cited: 6

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