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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:

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

Showing 1-25 of 43 citing articles:

Predicting financial distress using multimodal data: An attentive and regularized deep learning method
Wanliu Che, Zhao Wang, Cuiqing Jiang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103703-103703
Open Access | Times Cited: 14
Towards the development of an explainable e-commerce fake review index: An attribute analytics approach
Ronnie Das, Wasim Ahmed, Kshitij Sharma, et al.
European Journal of Operational Research (2024) Vol. 317, Iss. 2, pp. 382-400
Open Access | Times Cited: 8
Interpretable generalized additive neural networks
Mathias Kraus, Daniel Tschernutter, Sven Weinzierl, et al.
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 303-316
Open Access | Times Cited: 16
A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data
Lean Yu, Mengxin Li, Xiaojun Liu
Expert Systems with Applications (2024) Vol. 249, pp. 123745-123745
Closed Access | Times Cited: 7
Explainable AI for enhanced decision-making
Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, et al.
Decision Support Systems (2024) Vol. 184, pp. 114276-114276
Closed Access | Times Cited: 7
Predicting financial distress using current reports: A novel deep learning method based on user-response-guided attention
Chenyang Wu, Cuiqing Jiang, Wang Zhao, et al.
Decision Support Systems (2024) Vol. 179, pp. 114176-114176
Closed Access | Times Cited: 6
Modeling and prediction of business success: a survey
Divya Gangwani, Xingquan Zhu
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 6
Machine learning in bank merger prediction: A text-based approach
Apostolos G. Katsafados, George N. Leledakis, Emmanouil G. Pyrgiotakis, et al.
European Journal of Operational Research (2023) Vol. 312, Iss. 2, pp. 783-797
Closed Access | Times Cited: 15
Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making
Carla Vairetti, Ignacio Aránguiz, Sebastián Maldonado, et al.
European Journal of Operational Research (2023) Vol. 312, Iss. 3, pp. 1108-1118
Closed Access | Times Cited: 15
Industry-sensitive language modeling for business
Philipp Borchert, Kristof Coussement, Jochen De Weerdt, et al.
European Journal of Operational Research (2024) Vol. 315, Iss. 2, pp. 691-702
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
A machine learning and ANOVA-based approach to model financial predictors for corporate failure in imbalanced dataset: The case of Taiwan
Borislava Toleva, Ivan Ivanov, Vincent J. Hooper
Journal of Infrastructure Policy and Development (2025) Vol. 9, Iss. 1, pp. 10072-10072
Open Access
Language of Bankruptcy: Analysis of Word Sequences and Word Contexts
Andrea Simonetti, Rodolfo Damiano
(2025), pp. 546-551
Closed Access
From collaborative filtering to deep learning: Advancing recommender systems with longitudinal data in the financial services industry
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny
European Journal of Operational Research (2025)
Closed Access
Interpretable machine learning and explainable artificial intelligence
Kazim Topuz, Akhilesh Bajaj, Kristof Coussement, et al.
Annals of Operations Research (2025)
Closed Access
Reinforced Distillation Learning: Fine-Grained Imbalanced Classifier for Financial Crisis Prediction
Zengli Mao, Xiaofang Chen, Wu Chong
Computational Economics (2025)
Closed Access
Determining well-being during a crisis based on Twitter data
Xiao Wang, Bram Janssens, Matthias Bogaert, et al.
Annals of Operations Research (2025)
Closed Access
360 Degrees rumor detection: When explanations got some explaining to do
Bram Janssens, Lisa Schetgen, Matthias Bogaert, et al.
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 366-381
Open Access | Times Cited: 10
Feature importance in the age of explainable AI: Case study of detecting fake news & misinformation via a multi-modal framework
Ajay Kumar, James W. Taylor
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 401-413
Closed Access | Times Cited: 7
Explainable real-time predictive analytics on employee workload in digital railway control rooms
Léon Sobrie, Marijn Verschelde, Bart Roets
European Journal of Operational Research (2023) Vol. 317, Iss. 2, pp. 437-448
Closed Access | Times Cited: 6
Do the US president's tweets better predict oil prices? An empirical examination using long short-term memory networks
Stephanie Beyer Díaz, Kristof Coussement, Arno De Caigny, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 6, pp. 2158-2175
Closed Access | Times Cited: 5
A fused large language model for predicting startup success
Abdurahman Maarouf, Stefan Feuerriegel, Nicolas Pröllochs
European Journal of Operational Research (2024) Vol. 322, Iss. 1, pp. 198-214
Open Access | Times Cited: 1
Predicting corporate credit ratings using the content of ESG reports
Petr Hájek, Jean‐Michel Sahut, Renáta Myšková
Annals of Operations Research (2024)
Closed Access | Times Cited: 1
Predicting Financial Failure in Algerian Public Insurance Companies Using the Kida Model
Khaled Mili
Journal of Applied Data Sciences (2024) Vol. 5, Iss. 2, pp. 508-519
Open Access | Times Cited: 1
Long-horizon predictions of credit default with inconsistent customers
Guotai Chi, Bingjie Dong, Ying Zhou, et al.
Technological Forecasting and Social Change (2023) Vol. 198, pp. 123008-123008
Closed Access | Times Cited: 2
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