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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:

Prediction of financial distress of companies with artificial neural networks and decision trees models
Nezir Aydın, Nida Sahin, Muhammet Deveci, et al.
Machine Learning with Applications (2022) Vol. 10, pp. 100432-100432
Open Access | Times Cited: 25

Showing 25 citing articles:

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: 8
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
A case-based reasoning driven ensemble learning paradigm for financial distress prediction with missing data
Lean Yu, Mengxin Li
Applied Soft Computing (2023) Vol. 137, pp. 110163-110163
Closed Access | Times Cited: 19
RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model
Mohamed Torky, Ibrahim Gad, Aboul Ella Hassanien
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 16
Exploring Trends and Advancements in Financial Distress Prediction Research: A Bibliometric Study
Soumya Ranjan Sethi, Dushyant Mahadik, Rajkiran V. Bilolikar
International Journal of Economics and Financial Issues (2024) Vol. 14, Iss. 1, pp. 164-179
Open Access | Times Cited: 5
Electrical Output Stabilization of Nanofluid Spectral Splitting Photovoltaic/Thermal System by Regulating Parameters Based on Machine Learning Algorithms
Zhengwei Wang, Huawei Liu, Jia Lu, et al.
(2025)
Closed Access
Accelerating convolutional neural networks on FPGA platforms: a high-performance design methodology using OpenCL
Soufien Gdaim, Abdellatif Mtibaa
Journal of Real-Time Image Processing (2025) Vol. 22, Iss. 2
Closed Access
Predicting option prices: from the Black-Scholes model to machine learning methods
Angela Maria D’Uggento, Marta Biancardi, Domenico Ciriello
Big Data Research (2025), pp. 100518-100518
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
Equity financing risk assessment based on PLTS-ER approach in marine ranching from the ecological and circular economy perspectives
Xiaole Wan, Zhengwei Teng, Zhen Zhang, et al.
Annals of Operations Research (2023) Vol. 342, Iss. 1, pp. 875-920
Closed Access | Times Cited: 11
New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire vulnerability map
Meryem Tahri, Sanaa Badr, Zohreh Mohammadi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109399-109399
Closed Access | Times Cited: 3
Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies
Shangkun Deng, Qunfang Luo, Yingke Zhu, et al.
Pacific-Basin Finance Journal (2024) Vol. 85, pp. 102393-102393
Closed Access | Times Cited: 2
Fast linear model trees by PILOT
Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, et al.
Machine Learning (2024) Vol. 113, Iss. 9, pp. 6561-6610
Open Access | Times Cited: 2
Enhancing financial distress prediction through integrated Chinese Whisper clustering and federated learning
Amel Ibrahim Al Ali, Sheeja Rani S, Ahmed M. Khedr
Journal of Open Innovation Technology Market and Complexity (2024) Vol. 10, Iss. 3, pp. 100344-100344
Open Access | Times Cited: 1
Optimizing Organizational Structures with Artificial Intelligence: Algorithm Design and Application
Xiaoran Pang
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 341-350
Open Access
Explainable Gradient Boosting for Corporate Crisis Forecasting in Italian Businesses
Donato Riccio, Fabrizio Maturo, Andrea Mazzitelli, et al.
Research Square (Research Square) (2024)
Open Access
Hierarchical cluster-based IELM for financial distress prediction with imbalanced data
Amal Ibrahim Al Ali, Sapna Rani, P. V. Pravija Raj, et al.
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 2925-2943
Closed Access
A hybrid machine learning framework by incorporating categorical boosting and manifold learning for financial analysis
Yuyang Zhao, Zhao Hong
Intelligent Systems with Applications (2024), pp. 200473-200473
Open Access
Assessing Distress in S&P Private Banks in India: A Comparative Study of the Altman and Fuzzy Logic with Decision Tree Variable Analysis
Arpita Agarwal, Anadi Trikha, Antima Sharma, et al.
(2024), pp. 1-6
Closed Access
Hybrid Model for Financial Distress Prediction: Evidence from Vietnamese Listed Firms
Oanh Thi Kim Nguyen, Cong Doan Truong, Van Dinh Nguyen, et al.
(2024) Vol. 4, pp. 316-322
Closed Access
Kesulitan Keuangan Perusahaan Semasa Covid-19
Galant Emerald, Zaitul Zaitul, Listiana Sri Mulatsih
Owner (2023) Vol. 7, Iss. 3, pp. 2205-2216
Open Access | Times Cited: 1
Mapping the Academic Journey of Corporate Financial Distress during Last Two Decades: A Bibliometric Analysis
Sucheesmita Dash, Sanjeeb Kumar Dey, Debabrata Sharma
MANTHAN Journal of Commerce and Management (2023) Vol. 10, Iss. 1, pp. 125-140
Open Access
Financial Crisis Prediction Based on GWO-SVM
Jian Ke, Shiqian Yu
(2023), pp. 535-543
Open Access
Going Concern Audit of Manufacturing Companies: A Study Before and During the Covid-19 Pandemic
Muhammad Fadila Laitupa, Elna Marsye Pattinaja, Sukma Rahmi Ayu Patty
Khazanah Sosial (2023) Vol. 5, Iss. 2, pp. 236-248
Open Access
Artificial Neural Network for Financial Distress Prediction on Energy Companies Listed in Indonesia
Farida TitikKristanti, I Putu Arya Budi Mahardika
(2023), pp. 1-6
Closed Access
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