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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:

Collaborative Deep Forest Learning for Recommender Systems
Soheila Molaei, Amirhossein Havvaei, Hadi Zare, et al.
IEEE Access (2021) Vol. 9, pp. 22053-22061
Open Access | Times Cited: 20

Showing 20 citing articles:

A collaborative filtering recommendation algorithm based on embedding representation
Nawaf Alharbe, Mohamed Ali Rakrouki, Abeer Aljohani
Expert Systems with Applications (2022) Vol. 215, pp. 119380-119380
Closed Access | Times Cited: 54
An Intelligent Hybrid Neural Collaborative Filtering Approach for True Recommendations
Muhammad Ibrahim, Imran Sarwar Bajwa, Nadeem Sarwar, et al.
IEEE Access (2023) Vol. 11, pp. 64831-64849
Open Access | Times Cited: 21
In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends
Shivangi Gheewala, Shuxiang Xu, Soonja Yeom
Neural Computing and Applications (2025)
Open Access
Two-level attention mechanism with contrastive learning for heterogeneous graph representation learning
Mahnaz Moradi, Parham Moradi, Azadeh Faroughi, et al.
Expert Systems with Applications (2025), pp. 126751-126751
Open Access
AI enabled value-oriented collaborative learning: Centre for innovative education
J. Ramadevi, C. Sushama, K. Balaji, et al.
The Journal of High Technology Management Research (2023) Vol. 34, Iss. 2, pp. 100478-100478
Closed Access | Times Cited: 9
KGR: A Kernel-Mapping Based Group Recommender System Using Trust Relations
Maryam Bukhari, Muazzam Maqsood, Farhan Aadil
Neural Processing Letters (2024) Vol. 56, Iss. 4
Open Access | Times Cited: 2
Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions
Muhammad Alrashidi, Ali Selamat, Roliana Ibrahim, et al.
IEEE Access (2023) Vol. 11, pp. 63874-63894
Open Access | Times Cited: 6
Dynamic network analytics for recommending scientific collaborators
Lu Huang, Xiang Chen, Yi Zhang, et al.
Scientometrics (2021) Vol. 126, Iss. 11, pp. 8789-8814
Closed Access | Times Cited: 12
SiSRS: Signed social recommender system using deep neural network representation learning
Abed Heshmati, Majid Meghdadi, Mohsen Afsharchi, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125205-125205
Closed Access | Times Cited: 1
Online course resource recommendation based on deep learning
Wu Yun
Procedia Computer Science (2023) Vol. 228, pp. 638-646
Open Access | Times Cited: 3
A novel graph-based feature interaction model for click-through rate prediction
Qianlong He, Feng Zhou, Linyan Gu, et al.
Information Sciences (2023) Vol. 649, pp. 119615-119615
Closed Access | Times Cited: 3
A hybrid user-item-based collaborative filtering model for e-commerce recommendations
Galyna Chornous, Ihor Nikolskyi, Mateusz Wyszyński Wyszyński, et al.
JOURNAL OF INTERNATIONAL STUDIES (2021) Vol. 14, Iss. 4, pp. 157-173
Open Access | Times Cited: 7
A Bibliometric Analysis and Science Mapping of Recommendation Systems Research from 1987 to 2022
Olufunke Oladipupo, Otavie Okuoyo
(2023)
Closed Access | Times Cited: 2
Trust enhanced POI recommendation with collaborative learning
Renhui Wu, Hui Xu, Xiaobin Rui, et al.
Intelligent Data Analysis (2024), pp. 1-19
Closed Access
An Effective Tumor Classification With Deep Forest and Self-Training
Zhanbo Chen, Xiao‐Jun Sun, Lili Shen
IEEE Access (2021) Vol. 9, pp. 100944-100950
Open Access | Times Cited: 3
The State of the Art in Deep Learning-based Recommender Systems
C K Raghavendra, K. C. Srikantaiah
Lecture notes on data engineering and communications technologies (2022), pp. 783-796
Closed Access | Times Cited: 1
Two-Level Attention Mechanism for Heterogenous Graph Embedding
Mahnaz Moradi, Parham Moradi, F Azadeh, et al.
(2023)
Closed Access
ICCVAE: Item Concept Causal Variational Auto-Encoder for top-n recommendation
Jingyun Feng, Qianqian Wang, Zhejun Huang, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2023), pp. 908-913
Closed Access
A Novel Tensor Decomposition Networks for Recommender Systems via Adaptive Moment Estimation Method
Xunpeng Xia, Rongfu Zhang, Xufeng Yao, et al.
Research Square (Research Square) (2022)
Open Access
A Two-Step Best-Worst Method (BWM) and K-Means Clustering Recommender System Framework
Saeed Najafi-Zangeneh, Naser Shams-Gharneh, Ali Arjomandi‐Nezhad
Lecture notes in operations research (2021), pp. 29-40
Closed Access
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