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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 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

Showing 1-25 of 51 citing articles:

Heterogeneous graph convolutional network for multi-view semi-supervised classification
Shiping Wang, Sujia Huang, Zhihao Wu, et al.
Neural Networks (2024) Vol. 178, pp. 106438-106438
Closed Access | Times Cited: 12
Multi-view universum support vector machines with insensitive pinball loss
Chunling Lou, Xijiong Xie
Expert Systems with Applications (2024) Vol. 248, pp. 123480-123480
Closed Access | Times Cited: 10
Integrating deformable CNN and attention mechanism into multi-scale graph neural network for few-shot image classification
Yongmin Liu, Furen Xiao, Xinying Zheng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
KSTAGE: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction
Mengjia Qiao, Xiaohui He, Xijie Cheng, et al.
Information Sciences (2022) Vol. 619, pp. 19-37
Closed Access | Times Cited: 32
Efficient multi-view semi-supervised feature selection
Chenglong Zhang, Bingbing Jiang, Zidong Wang, et al.
Information Sciences (2023) Vol. 649, pp. 119675-119675
Closed Access | Times Cited: 19
AnomMAN: Detect anomalies on multi-view attributed networks
Ling-Hao Chen, He Li, Wanyuan Zhang, et al.
Information Sciences (2023) Vol. 628, pp. 1-21
Closed Access | Times Cited: 18
Robust multi-view learning via adaptive regression
Bingbing Jiang, Junhao Xiang, Xingyu Wu, et al.
Information Sciences (2022) Vol. 610, pp. 916-937
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: 15
Low-rank representation induced missing-view recovery for incomplete multi-view clustering
Wei Liu, Xiao‐Yuan Jing, Xiaodong Jia, et al.
Neurocomputing (2024) Vol. 595, pp. 127870-127870
Closed Access | Times Cited: 6
Stage: Query Execution Time Prediction in Amazon Redshift
Ziniu Wu, Ryan Marcus, Zhengchun Liu, et al.
(2024), pp. 280-294
Open Access | Times Cited: 5
A review of feature set partitioning methods for multi-view ensemble learning
Aditya Kumar, Jainath Yadav
Information Fusion (2023) Vol. 100, pp. 101959-101959
Closed Access | Times Cited: 12
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
Peer Collaboration in DBLP Using Graph Convolutional Network
Chintoo Kumar, Showkat Ahmad Dar, Charishma Batchu, et al.
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access
DDNet: a hybrid network based on deep adaptive multi-head attention and dynamic graph convolution for EEG emotion recognition
Bingyue Xu, Xin Zhang, Xiu Zhang, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
Adaptive Structural-guided Multi-level Representation Learning with Graph Contrastive for incomplete multi-view clustering
Haiyue Wang, Wensheng Zhang, Quan Wang, et al.
Information Fusion (2025), pp. 103035-103035
Closed Access
Sample-pair learning network for extremely imbalanced classification
Linjun Chen, Xiao‐Yuan Jing, Runhang Chen, et al.
Neurocomputing (2025), pp. 129859-129859
Open Access
Multi-view graph anomaly detection via subgraph anomaly augmentation
Fu Lin, Yue Zhang, Xuexiong Luo, et al.
Neurocomputing (2025), pp. 130109-130109
Closed Access
Comprehensive Analysis of Scenario Matching Techniques in Cyberspace Security
Xun Huang, Hui Lu, Peng Jin, et al.
Communications in computer and information science (2025), pp. 149-166
Closed Access
GLGRAN: next POI recommendation on global-local graph representation with attention network
Weilong Li, Qiang Zhang, Lei Zhang, et al.
Multimedia Systems (2025) Vol. 31, Iss. 3
Closed Access
Course Recommendation Model Based on Layer Dropout Graph Differential Contrastive Learning
Yong Ouyang, Hao Long, Rong Gao, et al.
IEEE Access (2024) Vol. 12, pp. 7762-7774
Open Access | Times Cited: 3
Attention-based stackable graph convolutional network for multi-view learning
Zhiyong Xu, Weibin Chen, Ying Zou, et al.
Neural Networks (2024) Vol. 180, pp. 106648-106648
Closed Access | Times Cited: 3
A relation-aware heterogeneous graph convolutional network for relationship prediction
Xian Mo, Rui Tang, Hao Liu
Information Sciences (2022) Vol. 623, pp. 311-323
Closed Access | Times Cited: 12
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction
Luhe Zhuang, Hong Wang, Jun Zhao, et al.
Information Sciences (2023) Vol. 642, pp. 119139-119139
Open Access | Times Cited: 7
Geometric localized graph convolutional network for multi-view semi-supervised classification
Aiping Huang, Jielong Lu, Zhihao Wu, et al.
Information Sciences (2024) Vol. 677, pp. 120769-120769
Closed Access | Times Cited: 2
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