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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 Bayesian Inference Based Hybrid Recommender System
Armielle Noulapeu Ngaffo, Walid El Ayeb, Zièd Choukair
IEEE Access (2020) Vol. 8, pp. 101682-101701
Open Access | Times Cited: 13

Showing 13 citing articles:

A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions
Janneth Chicaiza, Priscila Valdiviezo-Díaz
Information (2021) Vol. 12, Iss. 6, pp. 232-232
Open Access | Times Cited: 92
Empowering Intelligent Database Systems Using an Adaptive Recommendation Algorithm
Mykola Beshley, Olena Hordiichuk-Bublivska, Halyna Beshley, et al.
Lecture notes in computer science (2025), pp. 269-278
Closed Access
Mutual information-based recommender system using autoencoder
Zahra Noshad, Asgarali Bouyer, Mohammad Noshad
Applied Soft Computing (2021) Vol. 109, pp. 107547-107547
Closed Access | Times Cited: 26
A Comparative Overview of Hybrid Recommender Systems: Review, Challenges, and Prospects
Rakhi Seth, Aakanksha Sharaff
(2022), pp. 57-98
Closed Access | Times Cited: 10
Dynamic slate recommendation with gated recurrent units and Thompson sampling
Simen Eide, David S. Leslie, Arnoldo Frigessi
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 5, pp. 1756-1786
Open Access | Times Cited: 8
A Survey of Recommender Systems Based on Semi-supervised Learning
Aslam Hasan Khan, Jamshed Siddqui, Shahab Saquib Sohail
Advances in intelligent systems and computing (2021), pp. 319-327
Closed Access | Times Cited: 10
Smart Nudge Framework for Digital Platforms
Ganesh Subramanian, Rashmi Agarwal
Algorithms for intelligent systems (2024), pp. 641-653
Closed Access
Hybrid Machine Learning Based Recommendation Algorithm for Multiple Movie Dataset
Sneha Bohra, Amit K. Gaikwad, Ghanapriya Singh
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 37, pp. 3121-3128
Open Access | Times Cited: 1
A Recommendation Approach in Social Learning Based on K-Means Clustering
Sonia Souabi, Asmaâ Retbi, Mohammed Khalidi Idrissi, et al.
Advances in Science Technology and Engineering Systems Journal (2021) Vol. 6, Iss. 1, pp. 719-725
Open Access | Times Cited: 3
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
Simen Eide, David S. Leslie, Arnoldo Frigessi
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
A recommendation approach based on correlation and co‐occurrence within social learning network
Sonia Souabi, Asmaâ Retbi, Mohammed Khalidi Idrissi, et al.
Concurrency and Computation Practice and Experience (2021) Vol. 35, Iss. 14
Closed Access | Times Cited: 2
HYBRID RECOMMENDER SYSTEM USING SINGULAR VALUE DECOMPOSITION AND SUPPORT VECTOR MACHINE IN BALI TOURISM
Aryadi Pramarta, Z. K. A. Baizal
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) (2022) Vol. 7, Iss. 2, pp. 408-418
Open Access | Times Cited: 1
Error correction of semantic mathematical expressions based on bayesian algorithm
Xue Wang, Yang Fang, Hongyuan Liu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 6, pp. 5428-5445
Open Access
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