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 survey of graph neural network based recommendation in social networks
Xiao Li, Li Sun, Mengjie Ling, et al.
Neurocomputing (2023) Vol. 549, pp. 126441-126441
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

When latent features meet side information: A preference relation based graph neural network for collaborative filtering
Xiangting Shi, Yakang Zhang, Abinash Pujahari, et al.
Expert Systems with Applications (2024), pp. 125423-125423
Closed Access | Times Cited: 31

Joint Knowledge Graph and Large Language Model for Fault Diagnosis and Its Application in Aviation Assembly
Peifeng Liu, Lu Qian, Xingwei Zhao, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8160-8169
Closed Access | Times Cited: 20

C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variable
Xiaolong Xu, Hongsheng Dong, Haolong Xiang, et al.
ACM transactions on office information systems (2025)
Closed Access | Times Cited: 1

Smart virtual sensing for deep excavations using real-time ensemble graph neural networks
Chen Yang, Chen Wang, Feng Zhao, et al.
Automation in Construction (2025) Vol. 172, pp. 106040-106040
Closed Access | Times Cited: 1

Emotion-oriented recommender system for personalized control of indoor environmental quality
Hakpyeong Kim, Taehoon Hong
Building and Environment (2024) Vol. 254, pp. 111396-111396
Closed Access | Times Cited: 5

UIFRS-HAN: User interests-aware food recommender system based on the heterogeneous attention network
Saman Forouzandeh, Kamal Berahmand, Mehrdad Rostami, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108766-108766
Open Access | Times Cited: 5

Creating Semantic Learner Groups in Distance Education Using the GraphSAGE approach
Ismail Chetoui, Essaid El Bachari, Yassine Ait Lahcen
E3S Web of Conferences (2025) Vol. 601, pp. 00096-00096
Open Access

Patient deep spatio-temporal encoding and Medication substructure mapping for safe medication recommendation
Haoqin Yang, Yuandong Liu, Longbo Zhang, et al.
Journal of Biomedical Informatics (2025) Vol. 163, pp. 104785-104785
Closed Access

Self-supervised graph transformer networks for social recommendation
Qinyao Li, Qimeng Yang, Shengwei Tian, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110121-110121
Closed Access

Prefer2SD: A Human-in-the-Loop Approach to Balancing Similarity and Diversity in In-Game Friend Recommendations
Xiyuan Wang, Z.P. Li, Shichun Chen, et al.
(2025), pp. 1141-1161
Closed Access

Graph structure embedded with physical constraints-based information fusion network for interpretable fault diagnosis of aero-engine
Yufeng Huang, Jun Tao, Junyi Zhao, et al.
Energy (2023) Vol. 283, pp. 129120-129120
Closed Access | Times Cited: 15

Health-aware food recommendation system with dual attention in heterogeneous graphs
Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107882-107882
Open Access | Times Cited: 15

Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks
Njud S. Alharbi, Stelios Bekiros, Hadi Jahanshahi, et al.
Chaos Solitons & Fractals (2024) Vol. 181, pp. 114675-114675
Closed Access | Times Cited: 4

Robust social recommendation based on contrastive learning and dual-stage graph neural network
Gangfeng Ma, Xu-Hua Yang, Haixia Long, et al.
Neurocomputing (2024) Vol. 584, pp. 127597-127597
Closed Access | Times Cited: 4

Deep Double Towers Click Through Rate Prediction Model with Multi-Head Bilinear Fusion
Yuan Zhang, X.-H. Cheng, Wei Wei, et al.
Symmetry (2025) Vol. 17, Iss. 2, pp. 159-159
Open Access

Predicting task bottlenecks in digital manufacturing enterprises based on spatio-temporal graph convolutional networks
Jun Yin, R. Q. Ma, Shilun Ge
Frontiers of Engineering Management (2025)
Closed Access

From Theory to Practice: The Evolution and Comparative Analysis of Homogeneous vs. Heterogeneous Graph Neural Networks in Recommender Systems
Maryam Khanian Najafabadi, R. T. Chen, Javad Rezazadeh, et al.
Neurocomputing (2025), pp. 129446-129446
Open Access

Explainable robo-advisor: An online learning framework for new investors without trading records
Xiaohua Hu, Siqin Kang, Shuyu Xue, et al.
Neurocomputing (2025), pp. 129463-129463
Closed Access

Optimization Strategies in Consumer Choice Behavior for Personalized Recommendation Systems Based on Deep Reinforcement Learning
Zhehuan Wei, Yan Liang, Chunxi Zhang
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-35
Open Access

Multi-objective design of multi-material truss lattices utilizing graph neural networks
Ramón Frey, Michael R. Tucker, Mohamadreza Afrasiabi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Spatiotemporal PM2.5 forecasting via dynamic geographical Graph Neural Network
Qin Zhao, Jiajun Liu, Xinwen Yang, et al.
Environmental Modelling & Software (2025) Vol. 186, pp. 106351-106351
Closed Access

Momentum-accelerated and Biased Unconstrained Non-negative Latent Factor Model for Handling High-Dimensional and Incomplete Data
Ming‐Wei Lin, Hengshuo Yang, Xiuqin Xu, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Closed Access

Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification
Malik Khizar Hayat, Shan Xue, Jia Wu, et al.
(2025), pp. 213-221
Closed Access

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