
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:
Deep variational models for collaborative filtering-based recommender systems
Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7817-7831
Open Access | Times Cited: 8
Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7817-7831
Open Access | Times Cited: 8
Showing 8 citing articles:
CFCAI: improving collaborative filtering for solving cold start issues with clustering technique in the recommender systems
Navid Khaledian, Amin Nazari, Masoud Barkhan
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 2
Navid Khaledian, Amin Nazari, Masoud Barkhan
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 2
Taste-centered deep matrix factorization model for food recommendations
Reetu Singh, Pragya Dwivedi, Vibhor Kant
Multimedia Tools and Applications (2025)
Closed Access
Reetu Singh, Pragya Dwivedi, Vibhor Kant
Multimedia Tools and Applications (2025)
Closed Access
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
Jesús Bobadilla, Abraham Gutiérrez
Applied Intelligence (2024) Vol. 54, Iss. 3, pp. 2472-2490
Open Access | Times Cited: 3
The Road Ahead: Emerging Trends, Unresolved Issues, and Concluding Remarks in Generative AI—A Comprehensive Review
S. Balasubramaniam, Vanajaroselin Chirchi, Seifedine Kadry, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
S. Balasubramaniam, Vanajaroselin Chirchi, Seifedine Kadry, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 2
UniRecSys: A unified framework for personalized, group, package, and package-to-group recommendations
A Shyam, Vikas Kumar, Venkateswara Rao Kagita, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111552-111552
Open Access | Times Cited: 2
A Shyam, Vikas Kumar, Venkateswara Rao Kagita, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111552-111552
Open Access | Times Cited: 2
Deep matrix factorization via feature subspace transfer for recommendation system
Weichen Wang, Jing Wang
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 4939-4954
Open Access | Times Cited: 1
Weichen Wang, Jing Wang
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 4939-4954
Open Access | Times Cited: 1
A small neighborhood fabric recommender system based on user historical behavior and preference
Zhen-zhen He, Yunjiao Ma, Jun Xiang, et al.
Textile Research Journal (2024)
Closed Access
Zhen-zhen He, Yunjiao Ma, Jun Xiang, et al.
Textile Research Journal (2024)
Closed Access
Design and research of news recommendation system based on perceptron model in big data era
Yan Pan
Applied Mathematics and Nonlinear Sciences (2023) Vol. 9, Iss. 1
Closed Access
Yan Pan
Applied Mathematics and Nonlinear Sciences (2023) Vol. 9, Iss. 1
Closed Access