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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:

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification
Wei Ju, Xiao Luo, Zeyu Ma, et al.
Neural Networks (2022) Vol. 151, pp. 70-79
Closed Access | Times Cited: 39

Showing 26-50 of 39 citing articles:

An efficient semi-supervised balanced cut with hard pairwise constraints and partial labels
Weizhong Yu, Liyin Xing, Feiping Nie, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110747-110747
Closed Access | Times Cited: 2
Community Detection Based on Directed Weighted Signed Graph Convolutional Networks
Hao Cheng, Chaobo He, Hai Liu, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 11, Iss. 2, pp. 1642-1654
Closed Access | Times Cited: 2
Optimization of Deep Convolutional Neural Network with the Integrated Batch Normalization and Global pooling
Priyanga K. K, S Sabeen
International Journal of Communication Networks and Information Security (IJCNIS) (2023) Vol. 15, Iss. 1, pp. 59-69
Open Access | Times Cited: 1
Null Model-Based Data Augmentation for Graph Classification
Zeyu Wang, Jinhuan Wang, Yalu Shan, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 11, Iss. 2, pp. 1821-1833
Open Access | Times Cited: 1
Explanatory subgraph attacks against Graph Neural Networks
Huiwei Wang, Tianhua Liu, Ziyu Sheng, et al.
Neural Networks (2024) Vol. 172, pp. 106097-106097
Closed Access
Deep graph-level clustering using pseudo-label-guided mutual information maximization network
Jinyu Cai, Yi Han, Wenzhong Guo, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9551-9566
Closed Access
Graph Explicit Pooling for Graph-Level Representation Learning
Chuang Liu, Wenhang Yu, Kuang Gao, et al.
(2024)
Closed Access
Harnessing collective structure knowledge in data augmentation for graph neural networks
Rongrong Ma, Guansong Pang, Ling Chen
Neural Networks (2024) Vol. 180, pp. 106651-106651
Open Access
Graph explicit pooling for graph-level representation learning
Chuang Liu, Wenhang Yu, Kuang Gao, et al.
Neural Networks (2024) Vol. 181, pp. 106790-106790
Closed Access
Heterophilous distribution propagation for Graph Neural Networks
Zhuonan Zheng, Sheng Zhou, Hongjia Xu, et al.
Neural Networks (2024), pp. 107014-107014
Open Access
Multi-constraints in deep graph convolutional networks with initial residual
Hui Chen, Yuancheng Li
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 13608-13620
Closed Access | Times Cited: 1
LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis
Haotong Wei, Yinlin Zhu, Xunkai Li, et al.
Neural Networks (2023) Vol. 164, pp. 719-730
Closed Access
Focus on Informative Graphs! Semi-Supervised Active Learning for Graph-Level Classification
Wei Ju, Xiao Luo, Yifang Qin, et al.
(2023)
Closed Access
Transformer and Graph Transformer-Based Prediction of Drug-Target Interactions
Meiling Qian, Weizhong Lu, Yu Zhang, et al.
Current Bioinformatics (2023) Vol. 19, Iss. 5, pp. 470-481
Closed Access
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