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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:

SMGCL: Semi-supervised Multi-view Graph Contrastive Learning
Hui Zhou, Maoguo Gong, Shanfeng Wang, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110120-110120
Closed Access | Times Cited: 19

Showing 19 citing articles:

Pseudo contrastive learning for graph-based semi-supervised learning
Weigang Lu, Ziyu Guan, Wei Zhao, et al.
Neurocomputing (2025), pp. 129375-129375
Open Access | Times Cited: 1
Superior polymeric gas separation membrane designed by explainable graph machine learning
Jiaxin Xu, Agboola Suleiman, Gang Liu, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 7, pp. 102067-102067
Open Access | Times Cited: 5
SGCL: Semi-supervised Graph Contrastive Learning with confidence propagation algorithm for node classification
Wenhao Jiang, Yuebin Bai
Knowledge-Based Systems (2024) Vol. 301, pp. 112271-112271
Closed Access | Times Cited: 5
Graph neural networks for multi-view learning: a taxonomic review
Shunxin Xiao, Jiacheng Li, Jielong Lu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 4
ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction
Yunyun Dong, Yuanrong Zhang, Yuhua Qian, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012748-e1012748
Open Access
CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning
Guowen Peng, Fadi Dornaika, Jinan Charafeddine
Expert Systems with Applications (2025), pp. 127194-127194
Closed Access
SMILE: Semi-supervised multi-view classification based on dynamical fusion
Hui Yang, L. Kang, Xun Che
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0320831-e0320831
Open Access
Customizing graph neural networks using path reweighting
Jianpeng Chen, Yujing Wang, Ming Zeng, et al.
Information Sciences (2024) Vol. 674, pp. 120681-120681
Open Access | Times Cited: 3
Knowledge distillation-driven semi-supervised multi-view classification
Xiaoli Wang, Yongli Wang, Guanzhou Ke, et al.
Information Fusion (2023) Vol. 103, pp. 102098-102098
Closed Access | Times Cited: 8
Graph manifold learning with non-gradient decision layer
Ziheng Jiao, Hongyuan Zhang, Rui Zhang, et al.
Neurocomputing (2024) Vol. 579, pp. 127390-127390
Closed Access | Times Cited: 2
Pseudo Contrastive Learning for Graph-Based Semi-Supervised Learning
Weigang Lu, Ziyu Guan, Wei Zhao, et al.
(2023)
Open Access | Times Cited: 5
Transformer Helps Gnns Express Better Via Distillation of Long-Range Dependencies
Jiaxing Li, Xiaotong Zhang, Ke Zhang, et al.
(2024)
Closed Access | Times Cited: 1
Adaptive-propagating heterophilous graph convolutional network
Yang Huang, Yiqing Shi, Yueyang Pi, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112389-112389
Closed Access | Times Cited: 1
Individuality-enhanced and multi-granularity consistency-preserving graph neural network for semi-supervised node classification
Xinxin Liu, Weiren Yu
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 27608-27623
Open Access | Times Cited: 2
Adaptive-Propagating Heterophilous Graph Convolutional Network
Yang Huang, Yueyang Pi, Yiqing Shi, et al.
(2024)
Closed Access
Higher-order Semantic-aware Adaptive Graph Contrastive Learning
Xianxian Li, Jiayue Zeng, Zhigang Sun, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 12, pp. 1-8
Closed Access
SGCA: Signed Graph Contrastive Learning with Adaptive Augmentation
Yijie Qi, Erxin Du, Lin Shu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 24, pp. 1-10
Closed Access
Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering
Hui Zhou, Xin Liu, Xiangju Li, et al.
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 26750-26762
Closed Access
A Unified Framework for Detecting Domain and Intent Misclassifications in Large-Scale Dialogue Systems
Moushumi Mahato, Avinash Kumar, V Kiran Kumar Reddy, et al.
(2023), pp. 1-6
Closed Access
Relaxed Graph Semi-Supervised Contrastive Learning for Node Classification
Qiyu Li, Xianxian Li, Haodong Qian, et al.
(2023)
Closed Access
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