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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:

Failure pattern-based ensembles applied to bankruptcy forecasting
Philippe du Jardin
Decision Support Systems (2018) Vol. 107, pp. 64-77
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering
Sami Ben Jabeur, Nicolae Stef, Pedro Carmona
Computational Economics (2022) Vol. 61, Iss. 2, pp. 715-741
Closed Access | Times Cited: 101
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
A-Stacking and A-Bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection
Shivang Agarwal, C. Ravindranath Chowdary
Expert Systems with Applications (2019) Vol. 146, pp. 113160-113160
Closed Access | Times Cited: 95
Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Computational Economics (2021) Vol. 59, Iss. 3, pp. 1231-1249
Closed Access | Times Cited: 63
Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction
Chih‐Fong Tsai, Kuen‐Liang Sue, Ya‐Han Hu, et al.
Journal of Business Research (2021) Vol. 130, pp. 200-209
Closed Access | Times Cited: 55
A data-driven prediction approach for sports team performance and its application to National Basketball Association
Yongjun Li, Lizheng Wang, Feng Li
Omega (2019) Vol. 98, pp. 102123-102123
Closed Access | Times Cited: 71
Corporate Default Predictions Using Machine Learning: Literature Review
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Sustainability (2020) Vol. 12, Iss. 16, pp. 6325-6325
Open Access | Times Cited: 59
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
Bankruptcy prediction using fuzzy convolutional neural networks
Sami Ben Jabeur, Vanessa Serret
Research in International Business and Finance (2022) Vol. 64, pp. 101844-101844
Closed Access | Times Cited: 35
Systematic Review of Financial Distress Identification using Artificial Intelligence Methods
Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 31
Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine
Yao Zou, Changchun Gao, Han Gao
IEEE Access (2022) Vol. 10, pp. 42623-42639
Open Access | Times Cited: 27
Artificial intelligence in predicting the bankruptcy of non-financial corporations
Beata Gavurová, Sylvia Jenčová, Radovan Bačík, et al.
Oeconomia Copernicana (2022) Vol. 13, Iss. 4, pp. 1215-1251
Open Access | Times Cited: 22
Machine learning techniques in bankruptcy prediction: A systematic literature review
Απόστολος Δασίλας, Anna Rigani
Expert Systems with Applications (2024) Vol. 255, pp. 124761-124761
Closed Access | Times Cited: 5
The evaluating the financial health of an inter-company network - evidence from the automotive industry
Pražáková Jaroslava, Sandra Sandra
Inproforum ... (2025) Vol. 18, pp. 299-305
Closed Access
Bankruptcy prediction: Integration of convolutional neural networks and explainable artificial intelligence techniques
Yu-Cheng Lin, Roni Padliansyah, Yu‐Hsin Lu, et al.
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100744-100744
Closed Access
Dynamic Bankruptcy Prediction Models for European Enterprises
Tomasz Korol
Journal of risk and financial management (2019) Vol. 12, Iss. 4, pp. 185-185
Open Access | Times Cited: 42
Multiobjective sparse ensemble learning by means of evolutionary algorithms
Jiaqi Zhao, Licheng Jiao, Shixiong Xia, et al.
Decision Support Systems (2018) Vol. 111, pp. 86-100
Open Access | Times Cited: 38
A two‐stage Bayesian network model for corporate bankruptcy prediction
Yi Cao, Xiaoquan Liu, Jia Zhai, et al.
International Journal of Finance & Economics (2020) Vol. 27, Iss. 1, pp. 455-472
Open Access | Times Cited: 34
Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries
Michal Pavličko, Marek Ďurica, Jaroslav Mazanec
Mathematics (2021) Vol. 9, Iss. 16, pp. 1886-1886
Open Access | Times Cited: 29
Imbalanced credit risk evaluation based on multiple sampling, multiple kernel fuzzy self-organizing map and local accuracy ensemble
Lu Wang, Yuangao Chen, Hui Jiang, et al.
Applied Soft Computing (2020) Vol. 91, pp. 106262-106262
Closed Access | Times Cited: 31
Dynamic imbalanced business credit evaluation based on Learn++ with sliding time window and weight sampling and FCM with multiple kernels
Lu Wang, Chong Wu
Information Sciences (2020) Vol. 520, pp. 305-323
Closed Access | Times Cited: 27
An Ensemble Classifier-Based Scoring Model for Predicting Bankruptcy of Polish Companies in the Podkarpackie Voivodeship
Tomasz Pisula
Journal of risk and financial management (2020) Vol. 13, Iss. 2, pp. 37-37
Open Access | Times Cited: 25
Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan
Tomasz Korol, Anestis Fotiadis
Oeconomia Copernicana (2022) Vol. 13, Iss. 2, pp. 407-438
Open Access | Times Cited: 14
Is Artificial Intelligence Really More Accurate in Predicting Bankruptcy?
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová
International Journal of Financial Studies (2024) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 2
Ensemble machine learning algorithm optimization of bankruptcy prediction of bank
Bambang Banu Siswoyo, Zuraida Abal Abas, Ahmad Naim Che Pee, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 2, pp. 679-679
Open Access | Times Cited: 11
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