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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:

A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction
Sunitha Devi, Y. Radhika
International Journal of Machine Learning and Computing (2018) Vol. 8, Iss. 2, pp. 133-139
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

A review of deep learning with special emphasis on architectures, applications and recent trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105596-105596
Open Access | Times Cited: 335
Statistical and machine learning models in credit scoring: A systematic literature survey
Xolani Dastile, Turgay Çelik, Moshe Moses Potsane
Applied Soft Computing (2020) Vol. 91, pp. 106263-106263
Closed Access | Times Cited: 274
Machine learning‐based model for prediction of power consumption in smart grid‐ smart way towards smart city
Shamik Tiwari, Anurag Jain, Nada Ahmed, et al.
Expert Systems (2021) Vol. 39, Iss. 5
Closed Access | Times Cited: 56
A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework
Abdulrahim Ali, Raja Jayaraman, Elie Azar, et al.
Building and Environment (2024) Vol. 252, pp. 111268-111268
Closed Access | Times Cited: 14
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
Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation
M. Prakash, S. Neelakandan, Abbas Mardani, et al.
Enterprise Information Systems (2023) Vol. 17, Iss. 10
Closed Access | Times Cited: 17
Company bankruptcy prediction framework based on the most influential features using XGBoost and stacking ensemble learning
Much Aziz Muslim, Yosza Dasril
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 11, Iss. 6, pp. 5549-5549
Open Access | Times Cited: 38
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
Comparing the Performance of Deep Learning Methods to Predict Companies’ Financial Failure
Huthaifa Aljawazneh, Antonio M. Mora, Pablo García‐Sánchez, et al.
IEEE Access (2021) Vol. 9, pp. 97010-97038
Open Access | Times Cited: 31
Machine Learning-Based Model for Prediction of Power Consumption in Smart Grid
Shamik Tiwari, Anurag Jain, Kusum Yadav, et al.
The International Arab Journal of Information Technology (2022) Vol. 19, Iss. 3
Open Access | Times Cited: 16
Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset
Ummey Hany Ainan, Lip Yee Por, Yen‐Lin Chen, et al.
IEEE Access (2024) Vol. 12, pp. 9369-9381
Open Access | Times Cited: 3
Bankruptcy Prediction Using Machine Learning
Komal Saxena, Shikhar Tiwar
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-4
Closed Access | Times Cited: 3
Measuring financial soundness around the world: A machine learning approach
Alessandro Bitetto, Paola Cerchiello, Charilaos Mertzanis
International Review of Financial Analysis (2022) Vol. 85, pp. 102451-102451
Open Access | Times Cited: 13
Measuring corporate failure risk: Does long short-term memory perform better in all markets?
Hyeongjun Kim, Hoon Cho, Doojin Ryu
Investment Analysts Journal (2023) Vol. 52, Iss. 1, pp. 40-52
Closed Access | Times Cited: 7
Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis
Kaoutar El Madou, Said Marso, Moad El Kharrim, et al.
Expert Systems (2023) Vol. 41, Iss. 2
Closed Access | Times Cited: 7
Predicting corporate credit risk: Network contagion via trade credit
Claudia Berloco, Gianmarco De Francisci Morales, Daniele Frassineti, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250115-e0250115
Open Access | Times Cited: 16
Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction
María E. Pérez-Pons, Javier Parra-Domínguez, Guillermo Hernández, et al.
The Knowledge Engineering Review (2022) Vol. 37
Closed Access | Times Cited: 11
Application of fuzzy Bayesian approach on bankruptcy causes for container liner industry
Bünyamin Kamal, Muhammet Aydın
Research in Transportation Business & Management (2021) Vol. 43, pp. 100769-100769
Closed Access | Times Cited: 14
Fire Risk Assessment on Wildland–Urban Interface and Adjoined Urban Areas: Estimation Vegetation Ignitability by Artificial Neural Network
Maria Mahamed, Lea Wittenberg, H. Kutiel, et al.
Fire (2022) Vol. 5, Iss. 6, pp. 184-184
Open Access | Times Cited: 9
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
The Application of Machine Learning in Diagnosing the Financial Health and Performance of Companies in the Construction Industry
Jarmila Horváthová, Martina Mokrišová, Alexander Schneider
Information (2024) Vol. 15, Iss. 6, pp. 355-355
Open Access | Times Cited: 1
Gamma–lindley regression cure model for corporate credit default prediction
Fatma Chakroun, Lobna Abid, Dorsaf Elarbi, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125004-125004
Closed Access | Times Cited: 1
The Power of Numerical Indicators in Predicting Bankruptcy: A Systematic Review
Dimitrios Billios, Dimitra Seretidou, Antonios Stavropoulos
Journal of risk and financial management (2024) Vol. 17, Iss. 10, pp. 433-433
Open Access | Times Cited: 1
Balancing Explainability and Privacy in Bank Failure Prediction: A Differentially Private Glass-Box Approach
Junyoung Byun, Jaewook Lee, H.W. Lee, et al.
IEEE Access (2024) Vol. 13, pp. 1546-1565
Open Access | Times Cited: 1
Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy
Maria Sultana Keya, Himu Akter, Md. Atiqur Rahman, et al.
(2021), pp. 705-712
Closed Access | Times Cited: 11
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