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:

Dynamic self-organizing feature map-based models applied to bankruptcy prediction
Philippe du Jardin
Decision Support Systems (2021) Vol. 147, pp. 113576-113576
Open Access | Times Cited: 24

Showing 24 citing articles:

Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 107

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

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

Extending business failure prediction models with textual website content using deep learning
Philipp Borchert, Kristof Coussement, Arno De Caigny, et al.
European Journal of Operational Research (2022) Vol. 306, Iss. 1, pp. 348-357
Open Access | Times Cited: 43

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

Variable selection in the prediction of business failure using genetic programming
Ángel Beade, Manuel Rodríguez, José Sántos
Knowledge-Based Systems (2024) Vol. 289, pp. 111529-111529
Open Access | Times Cited: 5

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

Advancing bankruptcy prediction: a study on an improved rime optimization algorithm and its application in feature selection
Y. Y. Ji, Chenglang Lu, Lei Liu, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access

Data governance and the secondary use of data: The board influence
Stuart Black, Michael Davern, Sean B. Maynard, et al.
Information and Organization (2023) Vol. 33, Iss. 2, pp. 100447-100447
Closed Access | Times Cited: 9

Comparable Studies of Financial Bankruptcy Prediction Using Advanced Hybrid Intelligent Classification Models to Provide Early Warning in the Electronics Industry
You‐Shyang Chen, Chien-Ku Lin, Chih-Min Lo, et al.
Mathematics (2021) Vol. 9, Iss. 20, pp. 2622-2622
Open Access | Times Cited: 18

A state-of-the-art appraisal of bankruptcy prediction models focussing on the field’s core authors: 2010–2022
Ivan Soukal, Jan Mačí, Gabriela Trnková, et al.
Central European Management Journal (2023) Vol. 32, Iss. 1, pp. 3-30
Open Access | Times Cited: 3

CHANGES IN UKRAINIAN BANKS ‘BUSINESS MODELS IN TIMES OF MILITARY CRISIS
Оlena Zarutska, Oksana Ponomarоva, Роман Павлов, et al.
Financial and credit activity problems of theory and practice (2022) Vol. 6, Iss. 47, pp. 8-18
Open Access | Times Cited: 5

The Hidden-Layers Topology Analysis of Deep Learning Models in Survey for Forecasting and Generation of theWind Power and Photovoltaic Energy
Dandan Xu, Haijian Shao, Xing Deng, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 131, Iss. 2, pp. 567-597
Open Access | Times Cited: 3

A System Dynamics Model of Corporate Bankruptcy: A Comparative Study between Iran and Italyrephrase with Ginger (Ctrl+Alt+E)
Abbas Ali Daryaei, Fabiana Roberto, Seyed Mohammad Moshashaei, et al.
(2024)
Closed Access

Does the establishment of bankruptcy courts affect the risk of corporate collapse?
Chyongchiou J. Lin, Shiyuan Zhan
International Review of Financial Analysis (2024), pp. 103792-103792
Closed Access

NEW APPROACHES TO PREDICTING BANKRUPTCY OF INDUSTRIAL ENTERPRISES
O. V. Devyatkin
(2023), pp. 75-78
Closed Access

The effect of COVID-19 on the economic systems: evidence from the Italian case
Maria Elena Bruni, Giacomo Masali, Guido Perboli
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 1745-1749
Closed Access

A spatiotemporal context aware hierarchical model for corporate bankruptcy prediction
Binayak Chakrabarti, Amol Jain, Pavit Nagpal, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 28281-28303
Closed Access

Machine Learning Techniques in Bankruptcy Prediction: A Systematic Literature Review
Απόστολος Δασίλας, Anna Rigani
(2023)
Closed Access

Exogenous Determinants of Risk Management Effectiveness
Izabela Jonek-Kowalska
Springer eBooks (2022), pp. 53-65
Closed Access

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