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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 classification by graph p-Laplacian convolutional networks
Sichao Fu, Weifeng Liu, Kai Zhang, et al.
Information Sciences (2021) Vol. 560, pp. 92-106
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A gated graph convolutional network with multi-sensor signals for remaining useful life prediction
Lei Wang, Hongrui Cao, Hao Xu, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109340-109340
Closed Access | Times Cited: 80
Semi-supervised NPC segmentation with uncertainty and attention guided consistency
Lin Hu, Jiaxin Li, Xingchen Peng, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108021-108021
Closed Access | Times Cited: 68
Semi-supervised multi-view graph convolutional networks with application to webpage classification
Fei Wu, Xiao‐Yuan Jing, Pengfei Wei, et al.
Information Sciences (2022) Vol. 591, pp. 142-154
Closed Access | Times Cited: 51
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
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing
Anahita Mazloomi, Hani Sami, Jamal Bentahar, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 2, pp. 1376-1390
Open Access | Times Cited: 25
Novel medical question and answer system: Graph convolutional neural network based with knowledge graph optimization
Xu Wang, Zijin Luo, Rui He, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120211-120211
Closed Access | Times Cited: 14
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
MDSVDNV: predicting microbe–drug associations by singular value decomposition and Node2vec
Huilin Tan, Zhen Zhang, Xin Liu, et al.
Frontiers in Microbiology (2024) Vol. 14
Open Access | Times Cited: 6
Adaptive graph convolutional collaboration networks for semi-supervised classification
Sichao Fu, Senlin Wang, Weifeng Liu, et al.
Information Sciences (2022) Vol. 611, pp. 262-276
Closed Access | Times Cited: 20
Effective stabilized self-training on few-labeled graph data
Ziang Zhou, J. Y. Shi, Shengzhong Zhang, et al.
Information Sciences (2023) Vol. 631, pp. 369-384
Open Access | Times Cited: 11
Survey on Recent Trends in Medical Image Classification Using Semi-Supervised Learning
Zahra Solatidehkordi, Imran Zualkernan
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12094-12094
Open Access | Times Cited: 18
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation
Yibo Gao, Zhen Liu, Xinxin Yang, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
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
Network-wide short-term inflow prediction of the multi-traffic modes system: An adaptive multi-graph convolution and attention mechanism based multitask-learning model
Jian Yang, Jinlei Zhang, Lixing Yang, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 158, pp. 104428-104428
Open Access | Times Cited: 9
Deep Learning Based Feature Selection Algorithm for Small Targets Based on mRMR
Zhigang Ren, Guoquan Ren, Dinhai Wu
Micromachines (2022) Vol. 13, Iss. 10, pp. 1765-1765
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
Comprehensive study of semi-supervised learning for DNA methylation-based supervised classification of central nervous system tumors
Quynh T. Tran, Md Zahangir Alom, Brent A. Orr
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 12
Swarming: hydrodynamic alignment with pressure
Eitan Tadmor
Bulletin of the American Mathematical Society (2023) Vol. 60, Iss. 3, pp. 285-325
Open Access | Times Cited: 7
Semi-supervised classifier ensemble model for high-dimensional data
Xufeng Niu, Wenping Ma
Information Sciences (2023) Vol. 643, pp. 119203-119203
Closed Access | Times Cited: 7
Sequential attention layer-wise fusion network for multi-view classification
Qing Teng, Xibei Yang, Qiguo Sun, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 12, pp. 5549-5561
Closed Access | Times Cited: 2
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
Graph prototypical contrastive learning
Meixin Peng, Xin Juan, Zhanshan Li
Information Sciences (2022) Vol. 612, pp. 816-834
Closed Access | Times Cited: 11
Exploring graph capsual network and graphormer for graph classification
Xianglin Zuo, Hao Yuan, Bo Yang, et al.
Information Sciences (2023) Vol. 640, pp. 119045-119045
Closed Access | Times Cited: 6
Improving point cloud classification and segmentation via parametric veronese mapping
Ruibin Wang, Xianghua Ying, Bowei Xing, et al.
Pattern Recognition (2023) Vol. 144, pp. 109784-109784
Closed Access | Times Cited: 6
Example-feature graph convolutional networks for semi-supervised classification
Sichao Fu, Weifeng Liu, Kai Zhang, et al.
Neurocomputing (2021) Vol. 461, pp. 63-76
Closed Access | Times Cited: 13
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