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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:

Explainability of Machine Learning Models for Bankruptcy Prediction
Min Sue Park, Hwijae Son, Chongseok Hyun, et al.
IEEE Access (2021) Vol. 9, pp. 124887-124899
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
Patrick Weber, K. Valerie Carl, Oliver Hinz
Management Review Quarterly (2023) Vol. 74, Iss. 2, pp. 867-907
Open Access | Times Cited: 99
A Review of Trustworthy and Explainable Artificial Intelligence (XAI)
Vinay Chamola, Vikas Hassija, A. Razia Sulthana, et al.
IEEE Access (2023) Vol. 11, pp. 78994-79015
Open Access | Times Cited: 90
An explainable artificial intelligence approach for financial distress prediction
Zijiao Zhang, Chong Wu, Shiyou Qu, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102988-102988
Closed Access | Times Cited: 53
Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Expert Systems with Applications (2022) Vol. 213, pp. 118803-118803
Closed Access | Times Cited: 51
A qualitatively analyzable two-stage ensemble model based on machine learning for credit risk early warning: Evidence from Chinese manufacturing companies
Lu Wang, Wenyao Zhang
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103267-103267
Closed Access | Times Cited: 39
Artificial Intelligence in Accounting and Finance: Challenges and Opportunities
Ziwei Yi, Xinwei Cao, Zuyan Chen, et al.
IEEE Access (2023) Vol. 11, pp. 129100-129123
Open Access | Times Cited: 26
Explainable artificial intelligence (XAI) in finance: a systematic literature review
Jurgita Černevičienė, Audrius Kabašinskas
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 14
Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
Manel Hamdi, Sami Mestiri, Adnène Arbi
Journal of risk and financial management (2024) Vol. 17, Iss. 4, pp. 132-132
Open Access | Times Cited: 8
Corporate financial distress prediction using the risk-related information content of annual reports
Petr Hájek, Michal Munk
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103820-103820
Closed Access | Times Cited: 6
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
Deterministic and Stochastic Machine Learning Classification Models: A Comparative Study Applied to Companies’ Capital Structures
Joseph F. Hair, Luíz Paulo Lopes Fávero, Wilson Tarantin, et al.
Mathematics (2025) Vol. 13, Iss. 3, pp. 411-411
Open Access
Interpretable credit scoring based on an additive extreme gradient boosting
Yao Zou, Meng Xia, Xingyu Lan
Chaos Solitons & Fractals (2025) Vol. 194, pp. 116216-116216
Closed Access
Environmental commitments and Innovation in China's corporate landscape: An analysis of ESG governance strategies
Lemuel Kenneth David, Jianling Wang, Vanessa Angel, et al.
Journal of Environmental Management (2023) Vol. 349, pp. 119529-119529
Closed Access | Times Cited: 11
Explainable Artificial Intelligence (XAI): A Systematic Literature Review on Taxonomies and Applications in Finance
Tiago Martins, Ana de Almeida, Elsa Cardoso, et al.
IEEE Access (2023) Vol. 12, pp. 618-629
Open Access | Times Cited: 11
Integrating explainability into deep learning-based models for white blood cells classification
Kunal Bhatia, Sabrina Dhalla, Ajay Mittal, et al.
Computers & Electrical Engineering (2023) Vol. 110, pp. 108913-108913
Closed Access | Times Cited: 10
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
Machine Learning-Based COVID-19 Patients Triage Algorithm Using Patient-Generated Health Data from Nationwide Multicenter Database
Min Sue Park, Hyeontae Jo, Haeun Lee, et al.
Infectious Diseases and Therapy (2022) Vol. 11, Iss. 2, pp. 787-805
Open Access | Times Cited: 14
Interpretable high-stakes decision support system for credit default forecasting
Weixin Sun, X. J. Zhang, Ming‐Hao Li, et al.
Technological Forecasting and Social Change (2023) Vol. 196, pp. 122825-122825
Closed Access | Times Cited: 6
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
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
Environmental Commitments and Innovation in China's Corporate Landscape: An Analysis of ESG Governance Strategies
Lemuel Kenneth David, Angel venessa, Meiling Luo
(2023)
Closed Access | Times Cited: 4
Concept-Oriented Self-Explaining Neural Networks
Min Sue Park, Hyung Ju Hwang
Neural Processing Letters (2023) Vol. 55, Iss. 8, pp. 10873-10904
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
Two-Step Classification for Solving Data Imbalance and Anomalies in an Altman Z-Score-based Bankruptcy Prediction Model
Abdul Syukur, Arry Maulana Syarif, Ika Novita Dewi, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access
Prediction of Bankruptcy Using Machine Learning Models
G. K. Kamalam, S. Naveen Kumar, G. Subiga, et al.
Lecture notes in networks and systems (2024), pp. 313-322
Closed Access
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