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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 novel method for financial distress prediction based on sparse neural networks with $$L_{1/2}$$ regularization
Ying Chen, Jifeng Guo, Junqin Huang, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 7, pp. 2089-2103
Open Access | Times Cited: 15

Showing 15 citing articles:

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
Dynamic Neural Network Structure: A Review for Its Theories and Applications
Jifeng Guo, C. L. Philip Chen, Zhulin Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4246-4266
Closed Access | Times Cited: 5
Improving forecasting of concrete strength using advanced machine learning methods
Prabakaran Ellappan, Lakshmi Keshav, Kalyana Chakravarthy Polichetty Raja, et al.
Matéria (Rio de Janeiro) (2025) Vol. 30
Open Access
A Robust Semi-Supervised Broad Learning System Guided by Ensemble-Based Self-Training
Jifeng Guo, C. L. Philip Chen
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 11, pp. 6410-6422
Closed Access | Times Cited: 2
Why do employees commit fraud? Theory, measurement, and validation
Bin Lin, Junqin Huang, Youliang Liao, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 10
LiFoL: An Efficient Framework for Financial Distress Prediction in High-Dimensional Unbalanced Scenario
Ying Chen, Xiaojun Kuang, Jifeng Guo
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2784-2795
Closed Access | Times Cited: 5
Optimizing concrete compressive strength prediction with a deep forest model: an advanced machine learning approach
Rajanandhini Vadivel Muthurathinam, Nuha Alruwais, Alanoud Al Mazroa, et al.
Matéria (Rio de Janeiro) (2024) Vol. 29, Iss. 4
Open Access | Times Cited: 1
The design of early warning software systems for financial crises in high-tech businesses using fusion models in the context of sustainable economic growth
Houfang Guo
PeerJ Computer Science (2023) Vol. 9, pp. e1326-e1326
Open Access | Times Cited: 2
NeVer2: Learning and Verification of Neural Networks
S. Demarchi, Dario Guidotti, Luca Pulina, et al.
Research Square (Research Square) (2024)
Open Access
A Fuzzy Neural Network-Based Intelligent Warning Method for Financial Risk of Enterprises
Qing Yao, Chunmei Mao, Yundong Guo
Journal of Circuits Systems and Computers (2024) Vol. 33, Iss. 14
Closed Access
NeVer2: learning and verification of neural networks
S. Demarchi, Dario Guidotti, Luca Pulina, et al.
Soft Computing (2024) Vol. 28, Iss. 19, pp. 11647-11665
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
Logistic Regression Analysis for Prediction of Financial Failure: Evidence from Central Public Sector Enterprises in India
Bhushan Pardeshi
Vision The Journal of Business Perspective (2022), pp. 097226292211352-097226292211352
Closed Access | Times Cited: 1
Un análisis bibliométrico de la predicción de quiebra empresarial con Machine Learning
Yuly Andrea Franco
ODEON (2023), Iss. 22, pp. 87-126
Open Access
A Financial Distress Prediction using a Non-stationary Dataset
R. Chaves, André Luis Debiaso Rossi, Luís P. F. Garcia
(2023), pp. 300-314
Open Access
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