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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:

Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks
Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111016-111016
Open Access | Times Cited: 12

Showing 12 citing articles:

Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets
Jesús Bobadilla, Abraham Gutiérrez
Applied Intelligence (2024) Vol. 54, Iss. 3, pp. 2472-2490
Open Access | Times Cited: 3
Advancements in Recommender Systems Through the Integration of Generative Adversarial Networks
Naouel Manaa, Hassina Seridi, Mohamed Said Mehdi Mendjel
International Journal of Informatics and Applied Mathematics (2024) Vol. 6, Iss. 2, pp. 35-45
Open Access | Times Cited: 2
A systematic review of movie recommender systems
Triyanna Widiyaningtyas, Yuri Ariyanto
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (2024) Vol. 10, Iss. 47
Open Access
Informed Dataset Selection with ‘Algorithm Performance Spaces’
Joeran Beel, Lukas Wegmeth, Lien Michiels, et al.
(2024), pp. 1085-1090
Open Access
User Response Modeling in Recommender Systems: A Survey
Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, et al.
Journal of Mathematical Sciences (2024)
Closed Access
Research on Digital Book Resource Recommendation Algorithm Based on Knowledge Graph
Yan Sun
Procedia Computer Science (2024) Vol. 247, pp. 953-962
Open Access
AUTO-DataGenCARS+: An Advanced User-Oriented Tool to Generate Data for the Evaluation of Recommender Systems
María del Carmen Rodríguez-Hernández, Sergio Ilarri, Marcos Caballero, et al.
Lecture notes in computer science (2024), pp. 176-191
Closed Access
Use of conditional generative adversarial networks to create demographic collaborative filtering datasets
Jesús Bobadilla, Abraham Gutiérrez
Applied Soft Computing (2024) Vol. 169, pp. 112608-112608
Closed Access
How News Recommendation System Effects User’s Individual and Aggregate Topic Diversity—A Study of Simulation Analysis
Ruiqi Wang, Xuwei Pan, Wanqiu Zhang
International Journal of Human-Computer Interaction (2024), pp. 1-14
Closed Access
Generating GAN-based fake embedding samples for Recommender Systems
Jesús Bobadilla, Abraham Gutiérrez
Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering (2023)
Open Access
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets
Jesús Bobadilla, Abraham Gutiérrez
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. In Press, Iss. In Press, pp. 1-1
Open Access
Generating and Testing Synthetic Datasets for Recommender Systems to Improve Fairness in Collaborative Filtering Research
Jesús Bobadilla, Abraham Gutiérrez
(2023), pp. 1-6
Closed Access
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