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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 multistage financial distress: Reflections on sampling, feature and model selection criteria
Umar Farooq, Muhammad Ali Jibran Qamar
Journal of Forecasting (2019) Vol. 38, Iss. 7, pp. 632-648
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Majority voting ensemble with a decision trees for business failure prediction during economic downturns
Soo Young Kim, Arun Upneja
Journal of Innovation & Knowledge (2021) Vol. 6, Iss. 2, pp. 112-123
Open Access | Times Cited: 58
Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods
Xiaobo Tang, Shixuan Li, Mingliang Tan, et al.
Journal of Forecasting (2020) Vol. 39, Iss. 5, pp. 769-787
Closed Access | Times Cited: 64
Can board diversity predict the risk of financial distress?
Umair Bin Yousaf, Khalil Jebran, Man Wang
Corporate Governance (2021) Vol. 21, Iss. 4, pp. 663-684
Closed Access | Times Cited: 48
Impacts of crisis on SME bankruptcy prediction models’ performance
Mário Papík, Lenka Papíková
Expert Systems with Applications (2022) Vol. 214, pp. 119072-119072
Closed Access | Times Cited: 33
Financial Compass for Slovak Enterprises: Modeling Economic Stability of Agricultural Entities
Katarína Valašková, Pavol Ďurana, Peter Adamko, et al.
Journal of risk and financial management (2020) Vol. 13, Iss. 5, pp. 92-92
Open Access | Times Cited: 47
Anticipating financial distress of high‐tech startups in the European Union: A machine learning approach for imbalanced samples
Yang Liu, Qingguo Zeng, Bobo Li, et al.
Journal of Forecasting (2022) Vol. 41, Iss. 6, pp. 1131-1155
Closed 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
A Multi-Stage Financial Distress Early Warning System: Analyzing Corporate Insolvency with Random Forest
Katsuyuki Tanaka, Takuo Higashide, Takuji Kinkyo, et al.
Journal of risk and financial management (2025) Vol. 18, Iss. 4, pp. 195-195
Open Access
Explainable gradient boosting for corporate crisis forecasting in Italian businesses
Fabrizio Maturo, Donato Riccio, Andrea Mazzitelli, et al.
Annals of Operations Research (2025)
Closed Access
Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises
Lenka Papíková, Mário Papík
Intelligent Systems in Accounting Finance & Management (2022) Vol. 29, Iss. 4, pp. 254-281
Closed Access | Times Cited: 18
Predicting and interpreting financial distress using a weighted boosted tree-based tree
Wanan Liu, Hong Fan, Min Xia, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105466-105466
Closed Access | Times Cited: 17
A review of the limitations of financial failure prediction research
Erkki K. Laitinen, María-del-Mar Camacho-Miñano, Nora Muñoz‐Izquierdo
Revista de Contabilidad (2023) Vol. 26, Iss. 2, pp. 255-273
Open Access | Times Cited: 8
Financial modeling trends for production companies in the context of Industry 4.0
Inga Kartanaitė, Bohdan Kovalov, Олександр Кубатко, et al.
Investment Management and Financial Innovations (2021) Vol. 18, Iss. 1, pp. 270-284
Open Access | Times Cited: 19
Default prediction modeling (DPM) with machine learning algorithms: case of non-financial listed companies in Pakistan
Jahanzaib Alvi, Imtiaz Arif
Kybernetes (2024)
Closed Access | Times Cited: 2
Financial distress prediction using the Q&A text of online interactive platforms
Cuiqing Jiang, Lan Ma, Zhao Wang, et al.
Electronic Commerce Research and Applications (2023) Vol. 61, pp. 101292-101292
Closed Access | Times Cited: 6
Population Diversity Control of Genetic Algorithm Using a Novel Injection Method for Bankruptcy Prediction Problem
Nabeel Al-Milli, Amjad Hudaib, Nadim Obeid
Mathematics (2021) Vol. 9, Iss. 8, pp. 823-823
Open Access | Times Cited: 13
Human resources and corporate failure prediction modeling: Evidence from Belgium
Xavier Brédart, Éric Séverin, David Veganzones
Journal of Forecasting (2021) Vol. 40, Iss. 7, pp. 1325-1341
Closed Access | Times Cited: 12
ACCURATE ESTIMATED MODEL OF VOLATILITY CRUDE OIL PRICE
Toto Gunarto, Rialdi Azhar, Novita Tresiana, et al.
International Journal of Energy Economics and Policy (2020) Vol. 10, Iss. 5, pp. 228-233
Open Access | Times Cited: 12
A novel semisupervised learning method with textual information for financial distress prediction
Yue Qiu, Jiabei He, Zhensong Chen, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2478-2494
Closed Access | Times Cited: 1
Advancing Financial Resilience: A Systematic Review of Default Prediction Models and Future Directions in Credit Risk Management
Jahanzaib Alvi, Imtiaz Arif, Kehkashan Nizam
Heliyon (2024) Vol. 10, Iss. 21, pp. e39770-e39770
Open Access | Times Cited: 1
Incorporating Multiple Textual Factors into Unbalanced Financial Distress Prediction: A Feature Selection Methods and Ensemble Classifiers Combined Approach
Shixuan Li, Wenxuan Shi
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 3
CatBoost: The Case of Bankruptcy Prediction
Mário Papík, Lenka Papíková, Jana Kajanová, et al.
Lecture notes in networks and systems (2022), pp. 3-17
Closed Access | Times Cited: 5
Do local and global factors impact the emerging markets' sovereign yield curves? Evidence from a data‐rich environment
Oğuzhan Çepni, İbrahim Ethem Güney, Doruk Küçüksaraç, et al.
Journal of Forecasting (2021) Vol. 40, Iss. 7, pp. 1214-1229
Open Access | Times Cited: 6
Feature Selection in Corporate Bankruptcy Prediction Using ML Techniques: A Systematic Literature Review
Mohd Raagib Shakeel, Taufeeque Ahmad Siddiqui, Shahzad Alam
Lecture notes in electrical engineering (2023), pp. 345-363
Closed Access | Times Cited: 2
Bankruptcy Prediction for Sustainability of Businesses: The Application of Graph Theoretical Modeling
Jarmila Horváthová, Martina Mokrišová, Martin Bača
Mathematics (2023) Vol. 11, Iss. 24, pp. 4966-4966
Open Access | Times Cited: 2
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