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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:

Semi-supervised learning with mixed-order graph convolutional networks
Jie Wang, Jianqing Liang, Junbiao Cui, et al.
Information Sciences (2021) Vol. 573, pp. 171-181
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective
M. M. Faruque Hasan, Manali S. Zantye, Monzure-Khoda Kazi
Computers & Chemical Engineering (2022) Vol. 166, pp. 107925-107925
Closed Access | Times Cited: 77
High-order graph attention network
HE Lian-cheng, Liang Bai, Xian Yang, et al.
Information Sciences (2023) Vol. 630, pp. 222-234
Open Access | Times Cited: 45
The Potential of Machine Learning for Enhancing CO2 Sequestration, Storage, Transportation, and Utilization-based Processes: A Brief Perspective
Surojit Gupta, Lan Li
JOM (2022) Vol. 74, Iss. 2, pp. 414-428
Closed Access | Times Cited: 44
A semi-supervised approach for the integration of multi-omics data based on transformer multi-head self-attention mechanism and graph convolutional networks
Jiahui Wang, Nanqing Liao, Xiaofei Du, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 16
Collaborative graph neural networks for augmented graphs: A local-to-global perspective
Qihang Guo, Xibei Yang, Ming Li, et al.
Pattern Recognition (2024), pp. 111020-111020
Closed Access | Times Cited: 9
Multi-Scale Variational Graph AutoEncoder for Link Prediction
Zhihao Guo, Feng Wang, Kaixuan Yao, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022)
Closed Access | Times Cited: 27
Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks
Qihang Guo, Xibei Yang, Fengjun Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107616-107616
Closed Access | Times Cited: 14
Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training
Hui Cong, Qiguo Sun, Xibei Yang, et al.
Information Sciences (2024) Vol. 676, pp. 120831-120831
Closed Access | Times Cited: 5
Negative samples selecting strategy for graph contrastive learning
Rui Miao, Yintao Yang, Yao Ma, et al.
Information Sciences (2022) Vol. 613, pp. 667-681
Closed Access | Times Cited: 21
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
Xiao Luo, Wei Ju, Yiyang Gu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 3, pp. 1-19
Open Access | Times Cited: 12
Semi-supervised feature selection based on discernibility matrix and mutual information
W. B. Qian, Wan Li-juan, Wenhao Shu
Applied Intelligence (2024) Vol. 54, Iss. 13-14, pp. 7278-7295
Closed Access | Times Cited: 4
Purity skeleton dynamic hypergraph neural network
Yuge Wang, Xibei Yang, Qiguo Sun, et al.
Neurocomputing (2024) Vol. 610, pp. 128539-128539
Closed Access | Times Cited: 4
SAGCN: Self-adaptive Graph Convolutional Network for pneumonia detection
Junding Sun, J P Xue, Zhaozhao Xu, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107634-107634
Closed Access
High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships
Hao Liu, Chen Chen, Xiaoyi Lv, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110303-110303
Closed Access
A Hierarchical Mixture-Of-Experts Framework for Few Labeled Node Classification
Yimeng Wang, Zhiyao Yang, Xiangjiu Che
Neural Networks (2025), pp. 107285-107285
Closed Access
Feature-topology cascade perturbation for graph neural network
Hui Cong, Xibei Yang, Keyu Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110657-110657
Closed Access
Graph Neural Networks with Direct Reach to Labeled Nodes
Qing Teng, Qihang Guo, Xibei Yang, et al.
Lecture notes in computer science (2025), pp. 443-455
Closed Access
Exploring graph capsual network for graph classification
Ying Wang, Hongji Wang, Hui Jin, et al.
Information Sciences (2021) Vol. 581, pp. 932-950
Closed Access | Times Cited: 22
Multi-head multi-order graph attention networks
節雄 山本, Qiguo Sun, Keyu Liu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 8092-8107
Closed Access | Times Cited: 3
Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network
Sunghong Park, Do Yoon Kim, Heirim Lee, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109303-109303
Closed Access | Times Cited: 3
CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data
Hang Yu, Jiahao Wen, Yiping Sun, et al.
IEEE Transactions on Cybernetics (2024) Vol. 55, Iss. 2, pp. 684-697
Closed Access | Times Cited: 3
A semi-supervised learning approach for bladder cancer grading
Kenneth Wenger, Kayvan Tirdad, Alex Dela Cruz, et al.
Machine Learning with Applications (2022) Vol. 9, pp. 100347-100347
Open Access | Times Cited: 13
SSGCN: a sampling sequential guided graph convolutional network
Xiaoxiao Wang, Xibei Yang, Pingxin Wang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 5, pp. 2023-2038
Closed Access | Times Cited: 8
Complex exponential graph convolutional networks
Zichao Zhang, Yihao Zhang, Yu Wang, et al.
Information Sciences (2023) Vol. 640, pp. 119041-119041
Closed Access | Times Cited: 7
On the use of high-order feature propagation in Graph Convolution Networks with Manifold Regularization
Fadi Dornaika
Information Sciences (2021) Vol. 584, pp. 467-478
Open Access | Times Cited: 15
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