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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:

Movie Recommender Systems: Concepts, Methods, Challenges, and Future Directions
Sambandam Jayalakshmi, N. Ganesh, Róbert Čep, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4904-4904
Open Access | Times Cited: 25

Showing 25 citing articles:

A survey on point-of-interest recommendations leveraging heterogeneous data
Zehui Wang, Wolfram Höpken, Dietmar Jannach
Information Technology & Tourism (2025)
Open Access
Personalized Movie Recommendations Based on a Multi-Feature Attention Mechanism with Neural Networks
Saisai Yu, Ming Guo, Xiangyong Chen, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1355-1355
Open Access | Times Cited: 14
Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning
B. Suvarna, Sivadi Balakrishna
Fashion and Textiles (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Dynamic Multi-Criteria Decision Making of Graduate Admission Recommender System: AHP and Fuzzy AHP Approaches
Wanvipa Wongvilaisakul, Paniti Netinant, Meennapa Rukhiran
Sustainability (2023) Vol. 15, Iss. 12, pp. 9758-9758
Open Access | Times Cited: 10
Handling Massive Sparse Data in Recommendation Systems
V. Lakshmi Chetana, Hari Seetha
Journal of Information & Knowledge Management (2024) Vol. 23, Iss. 03
Closed Access | Times Cited: 2
Implementasi Algoritma Decision Tree untuk Rekomendasi Film dan Klasifikasi Rating pada Platform Netflix
Dimas Aditya Mukhsinin, M Rafliansyah, Sang Adji Ibrahim, et al.
MALCOM Indonesian Journal of Machine Learning and Computer Science (2024) Vol. 4, Iss. 2, pp. 570-579
Open Access | Times Cited: 2
Film Recommendation System Using Content-Based Filtering and the Convolutional Neural Network (CNN) Classification Methods
Arliyanna Nilla, Erwin Budi Setiawan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (2024) Vol. 10, Iss. 1, pp. 17-17
Open Access | Times Cited: 2
Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization
Alpamis Kutlimuratov, Akmalbek Abdusalomov, Rashid Oteniyazov, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8224-8224
Open Access | Times Cited: 13
Design of Confidence-Integrated Denoising Auto-Encoder for Personalized Top-N Recommender Systems
Zeshan Aslam Khan, Naveed Ishtiaq Chaudhary, Waqar Ali Abbasi, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 761-761
Open Access | Times Cited: 5
An overview of video recommender systems: state-of-the-art and research issues
Sebastian Lubos, Alexander Felfernig, Markus Tautschnig
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 5
Hybrid Model Approaches Toward Movie Recommendation Systems and Their Comparisons
Jolly Parikh, Saji M. Antony, Rachna Jain, et al.
Lecture notes in networks and systems (2024), pp. 635-646
Closed Access | Times Cited: 1
The integration of knowledge graph convolution network with denoising autoencoder
Gurinder Kaur, Fei Liu, Yi‐Ping Phoebe Chen
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108792-108792
Open Access | Times Cited: 1
LLM-generated Explanations for Recommender Systems
Sebastian Lubos, Thi Ngoc Trang Tran, Alexander Felfernig, et al.
(2024), pp. 276-285
Closed Access | Times Cited: 1
An optimal context-aware content-based movie recommender system using genetic algorithm: a case study on MovieLens dataset
Alireza Abdolmaleki, Mohammad Hossein Rezvani
Journal of Experimental & Theoretical Artificial Intelligence (2022) Vol. 36, Iss. 8, pp. 1485-1511
Closed Access | Times Cited: 5
Enhancing Emotional Awareness and Regulation in Movies and Music Based on Personality
Daniel Pereira, Teresa Chambel
(2023), pp. 335-343
Open Access | Times Cited: 2
Personalized Movie Recommendation Prediction Using Reinforcement Learning
Abderaouf Bahi, Ibtissem Gasmi, Sassi Bentrad
Communications in computer and information science (2023), pp. 46-56
Closed Access | Times Cited: 2
Construction of Personalized Movie Recommendation Model Relying on Recurrent Neural Network
Et al. Qin Xie
Deleted Journal (2024) Vol. 19, Iss. 4, pp. 159-177
Open Access
Optimizing a Personalized Movie Recommendation System with Support Vector Machine and Content-Based Filtering
Jonathan Leander, Arya Wicaksana
Journal of System and Management Sciences (2024) Vol. 14, Iss. 4
Open Access
Movie recommendation system using voice analysis
Saheel Mayekar, Sarthak Singh, Aditya Gandhi, et al.
AIP conference proceedings (2024) Vol. 3242, pp. 060005-060005
Closed Access
The Integration of Knowledge Graph Convolution Network with Denoising Autoencoder
Gurinder Kaur, Fei Liu, Yi‐Ping Phoebe Chen
(2024)
Open Access
Towards Optimizing Hybrid Movie Recommender Systems
Hassan A. Khalil
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 159-173
Open Access
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization
Moncef Garouani, Adeel Ahmad, Mourad Bouneffa
Research Square (Research Square) (2024)
Open Access
Content-based Filtering Movie Recommender System Using Semantic Approach with Recurrent Neural Network Classification and SGD
Adinda Arwa Salsabil, Erwin Budi Setiawan, Isman Kurniawan
Kinetik Game Technology Information System Computer Network Computing Electronics and Control (2024), pp. 193-202
Open Access
A New Marketing Recommendation System Using a Hybrid Approach to Generate Smart Offers
Doae Mensouri, Abdellah Azmani
Applied Computer Systems (2022) Vol. 27, Iss. 2, pp. 149-158
Open Access | Times Cited: 1
Optimizing a Personalized Movie Recommendation System with Support Vector Machine and Content-Based Filtering
Jonathan Leander, Arya Wicaksana
Journal of System and Management Sciences (2023) Vol. 14, Iss. 1
Open Access
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