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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 Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
Chen Gao, Yu Zheng, Nian Li, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 1, pp. 1-51
Open Access | Times Cited: 309

Showing 1-25 of 309 citing articles:

Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao, Wenqi Fan, Jiatong Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6889-6907
Open Access | Times Cited: 75
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation
Ming Li, Lin Zhang, Lixin Cui, et al.
Pattern Recognition (2023) Vol. 144, pp. 109874-109874
Closed Access | Times Cited: 58
A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet)
Saman Forouzandeh, Kamal Berahmand, Razieh Sheikhpour, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120699-120699
Closed Access | Times Cited: 47
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi, Fernando Gama, David I Shuman, et al.
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 4745-4781
Open Access | Times Cited: 32
A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges
Meihui Zhong, Ming‐Wei Lin, Chao Zhang, et al.
Computers & Security (2024) Vol. 141, pp. 103821-103821
Closed Access | Times Cited: 32
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 2, pp. 97-139
Open Access | Times Cited: 30
A Survey of Graph Neural Networks for Social Recommender Systems
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-34
Open Access | Times Cited: 25
Graph Neural Network-Based EEG Classification: A Survey
Dominik Klepl, Min Wu, Fei He
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 493-503
Open Access | Times Cited: 19
A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 17
Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework
Xiaoyi Zhang, Yakang Zhang, Angelina Lilac Chen, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0314823-e0314823
Open Access | Times Cited: 3
Dual-Targeted adversarial example in evasion attack on graph neural networks
Hyun Kwon, Dae‐Jin Kim
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Robust Preference-Guided Denoising for Graph based Social Recommendation
Yuhan Quan, Jingtao Ding, Chen Gao, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 1097-1108
Open Access | Times Cited: 29
Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Dongxu Bai, Gongfa Li, Du Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107697-107697
Closed Access | Times Cited: 29
RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for Personalized Recommendation
Yachao Cui, Hongli Yu, Xiaoxu Guo, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123403-123403
Closed Access | Times Cited: 13
Improving academic performance predictions with dual graph neural networks
Qionghao Huang, Yan Zeng
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3557-3575
Open Access | Times Cited: 11
Graph Attention Networks: A Comprehensive Review of Methods and Applications
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
Future Internet (2024) Vol. 16, Iss. 9, pp. 318-318
Open Access | Times Cited: 11
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin, Jeongwhan Choi, Hyowon Wi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8984-8992
Open Access | Times Cited: 10
KGIE: Knowledge graph convolutional network for recommender system with interactive embedding
Mingqi Li, Wenming Ma, Zihao Chu
Knowledge-Based Systems (2024) Vol. 295, pp. 111813-111813
Closed Access | Times Cited: 9
A dual-stream spatio-temporal fusion network with multi-sensor signals for remaining useful life prediction
Qiang Zhang, Peixuan Yang, Qiong Liu
Journal of Manufacturing Systems (2024) Vol. 76, pp. 43-58
Closed Access | Times Cited: 9
A traditional Chinese medicine prescription recommendation model based on contrastive pre-training and hierarchical structure network
H. M. Hu, Yaqian Li, Zeyu Zheng, et al.
Expert Systems with Applications (2025), pp. 126318-126318
Closed Access | Times Cited: 1
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 35
Multi-label text classification based on semantic-sensitive graph convolutional network
Delong Zeng, Enze Zha, Jiayi Kuang, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111303-111303
Closed Access | Times Cited: 20
EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation
Ming Li, Zhao Li, Changqin Huang, et al.
IEEE Transactions on Big Data (2024) Vol. 10, Iss. 6, pp. 706-719
Closed Access | Times Cited: 8
How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?
Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1148-1159
Open Access | Times Cited: 7
VIGA: A variational graph autoencoder model to infer user interest representations for recommendation
Mingxin Gan, Hang Zhang
Information Sciences (2023) Vol. 640, pp. 119039-119039
Closed Access | Times Cited: 14
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