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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:

Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining
Jianxin Li, Qingyun Sun, Hao Peng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-18
Closed Access | Times Cited: 13

Showing 13 citing articles:

AutoMTNAS: Automated meta-reinforcement learning on graph tokenization for graph neural architecture search
Mingshuo Nie, Dongming Chen, Huilin Chen, et al.
Knowledge-Based Systems (2025), pp. 113023-113023
Closed Access
AutoGSP: Automated graph-level representation learning via subgraph detection and propagation deceleration
Mingshuo Nie, Dongming Chen, Dongqi Wang, et al.
Expert Systems with Applications (2025), pp. 126871-126871
Closed Access
Improving Augmentation Consistency for Graph Contrastive Learning
Weixin Bu, Xiaofeng Cao, Yizhen Zheng, et al.
Pattern Recognition (2023) Vol. 148, pp. 110182-110182
Closed Access | Times Cited: 10
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Xingcheng Fu, Yuecen Wei, Qingyun Sun, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 460-468
Open Access | Times Cited: 9
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration
Xuexiong Luo, Jia Wu, Jian Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3559-3572
Closed Access | Times Cited: 3
IBCS: Learning Information Bottleneck-Constrained Denoised Causal Subgraph for Graph Classification
Ruiwen Yuan, Yongqiang Tang, Yanghao Xiao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1627-1643
Closed Access | Times Cited: 1
Subgraph representation learning with self-attention and free adversarial training
Denggao Qin, Xianghong Tang, Jianguang Lu
Applied Intelligence (2024) Vol. 54, Iss. 11-12, pp. 7012-7029
Closed Access
Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks
Haibin Tong, Huifang Ma, Hui Shen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108966-108966
Closed Access
Critical Structure-aware Graph Neural Networks
Qingyun Sun
(2024), pp. 228-230
Closed Access
Subgraph autoencoder with bridge nodes
Denggao Qin, Xianghong Tang, Yong Huang, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125069-125069
Closed Access
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution
Tianchen Zhu, Yue Qiu, Haoyi Zhou, et al.
(2023), pp. 4693-4701
Open Access
GSEK: Graph Structured Neural Networks with Energy Graph Kernel
Wei Xu, Qingzhe Cui, Ge Wei, et al.
(2023), pp. 62-67
Closed Access
Reinforced Heterogeneous Graphlet Design for Knowledge Graph Representation Learning
Jibing Gong, Laurent Charlin, Yi Zhao, et al.
(2023)
Closed Access
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