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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:

Demonstrating non-inferiority of easy interpretable methods for insolvency prediction
Lennart Obermann, Stephan Waack
Expert Systems with Applications (2015) Vol. 42, Iss. 23, pp. 9117-9128
Closed Access | Times Cited: 24

Showing 24 citing articles:

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
Interpretable speech features vs. DNN embeddings: What to use in the automatic assessment of Parkinson’s disease in multi-lingual scenarios
Anna Favaro, Yi-Ting Tsai, Ankur Butala, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107559-107559
Open Access | Times Cited: 15
Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination
Andrey Volkov, Dries F. Benoit, Dirk Van den Poel
Decision Support Systems (2017) Vol. 98, pp. 59-68
Closed Access | Times Cited: 41
A prediction framework for pharmaceutical drug consumption using short time-series
Francesco Bertolotti, Fabrizio Schettini, Lucrezia Ferrario, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124265-124265
Closed Access | Times Cited: 2
A hybrid interpretable credit card users default prediction model based on RIPPER
Pu Xu, Zhijun Ding, Meiqin Pan
Concurrency and Computation Practice and Experience (2018) Vol. 30, Iss. 23
Closed Access | Times Cited: 17
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 Multicriteria Decision Trading System Based on Prospect Theory: A Risk Return Analysis of the TODIM Method
Bruna Dutra Puppo, Michel C. R. Leles, Leonardo Amaral Mozelli, et al.
Processes (2022) Vol. 10, Iss. 3, pp. 609-609
Open Access | Times Cited: 6
An improved credit card users default prediction model based on RIPPER
Pu Xu, Zhijun Ding, Meiqin Pan
(2017), pp. 1785-1789
Closed Access | Times Cited: 9
Generalized additive model with embedded variable selection for bankruptcy prediction: Prediction versus interpretation
Carlos Valencia, Sergio Cabrales, Laura Garcia, et al.
Cogent Economics & Finance (2019) Vol. 7, Iss. 1, pp. 1597956-1597956
Open Access | Times Cited: 9
Insolvência empresarial: um estudo sobre as distribuidoras de energia elétrica brasileiras
Rodrigo Simonassi Scalzer, Adriano Rodrigues, Marcelo Álvaro da Silva Macedo
Revista Contemporânea de Contabilidade (2015) Vol. 12, Iss. 27, pp. 27-27
Open Access | Times Cited: 8
Assessment applicability of selected models of multiple discriminant analyses to forecast financial situation of Polish wood sector enterprises
Krzysztof Adamowicz, Tomasz Noga
Folia Forestalia Polonica (2017) Vol. 59, Iss. 1, pp. 59-67
Open Access | Times Cited: 7
Predicting Default Payment of Credit Card Users: Applying Data Mining Techniques
Mohammad Aman Ullah, Mohammad Manjur Alam, Shamima Sultana, et al.
2022 International Conference on Innovations in Science, Engineering and Technology (ICISET) (2018), pp. 355-360
Closed Access | Times Cited: 7
Interpretable Speech Features vs. DNN Embeddings: What to Use in the Automatic Assessment of Parkinson’s Disease in Multi-lingual Scenarios
Anna Favaro, Yi-Ting Tsai, Ankur Butala, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Software Defect Prediction Using AWEIG+ADACOST Bayesian Algorithm for Handling High Dimensional Data and Class Imbalance Problem
Joko Suntoro, Febrian Wahyu Christanto, Henny Indriyawati
International Journal of Information Technology and Business (2018) Vol. 1, Iss. 1, pp. 36-41
Open Access | Times Cited: 4
A Comparison of Variables Selection Methods and their Sequential Application: A Case Study of the Bankruptcy of Polish Companies
Mikhail Zanka
Folia Oeconomica Stetinensia (2020) Vol. 20, Iss. 1, pp. 531-543
Open Access | Times Cited: 3
A Novel Fuzzy Unsupervised Quadratic Surface Support Vector Machine Based on DC Programming: An Application to Credit Risk Management
Tao Yu, Wei Huang, Xin Tang
Mathematics (2023) Vol. 11, Iss. 22, pp. 4661-4661
Open Access | Times Cited: 1
Tri-XGBoost Model: An Interpretable Semi-supervised Approach for Addressing Bankruptcy Prediction
Salima Smiti, Makram Soui, Khaled Ghédira
Authorea (Authorea) (2022)
Open Access | Times Cited: 2
Interpretable Binary and Multiclass Prediction Models for Insolvencies and Credit Ratings
Lennart Obermann
(2016)
Open Access | Times Cited: 1
Calculando el riesgo de insolvencia, de los métodos tradicionales a las redes neuronales artificiales. Una revisión de literatura
Maryann Katherine Ludeña Dávila, Luis Bernardo Tonon Ordóñez
INNOVA Research Journal (2021) Vol. 6, Iss. 3, pp. 270-287
Open Access | Times Cited: 2
A Systematic Literature Review on Corporate Insolvency Prevention Using Artificial Intelligence Algorithms
Tibor Kezelj, Rudolf Gruenbichler
Journal of Strategic Innovation and Sustainability (2021) Vol. 16, Iss. 4
Open Access | Times Cited: 2
Fatores determinantes da recuperação judicial considerando os fluxos de caixa das firmas
Filipe Casellato Scabora
(2020)
Open Access
PREVISÃO DE FALÊNCIA PARA INDUSTRIA AÉREA AMERICANA: CALIBRANDO O Z-SCORE DE ALTMAN
WILLIAM PEERSEN ROSSETTO PORTELA
(2020)
Open Access
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