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:

Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education
Danial Hooshyar, Roger Azevedo, Yeongwook Yang
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 593-618
Open Access | Times Cited: 8

Showing 8 citing articles:

A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability
Stephen Fox, Vítor Fortes Rey
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1494-1509
Open Access | Times Cited: 4

The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review
Carlos Merino-Campos
Trends in Higher Education (2025) Vol. 4, Iss. 2, pp. 17-17
Open Access

Using Serious Game Techniques with Health Sciences and Biomedical Engineering Students: An Analysis Using Machine Learning Techniques
María Consuelo Sáiz Manzanares, Raúl Marticorena Sánchez, María del Camino Escolar Llamazares, et al.
Information (2024) Vol. 15, Iss. 12, pp. 804-804
Open Access | Times Cited: 1

Ontology-Based Neuro-Symbolic AI: Effects on Prediction Quality and Explainability
Alexander Smirnov, Andrew Ponomarev, Anton Agafonov
IEEE Access (2024) Vol. 12, pp. 156609-156626
Open Access

Digital Assistance Systems to Implement Machine Learning in Manufacturing: A Systematic Review
Jannik Rosemeyer, Marta Pinzone, Joachim Metternich
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 4, pp. 2808-2828
Open Access

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