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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 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

Showing 20 citing articles:

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
Adaptive Attention-Based Graph Representation Learning to Detect Phishing Accounts on the Ethereum Blockchain
Haojie Sun, Zhaowei Liu, Shenqiang Wang, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 3, pp. 2963-2975
Closed Access | Times Cited: 14
Multilayer graph contrastive clustering network
Liang Liu, Zhao Kang, Jiajia Ruan, et al.
Information Sciences (2022) Vol. 613, pp. 256-267
Open Access | Times Cited: 38
Node classification oriented Adaptive Multichannel Heterogeneous Graph Neural Network
Yuqi Li, Chuanfeng Jian, Guosheng Zang, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111618-111618
Closed Access | Times Cited: 8
A robust self-training algorithm based on relative node graph
Jikui Wang, Huiyu Duan, Cuihong Zhang, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access | Times Cited: 6
A GNN-based fraud detector with dual resistance to graph disassortativity and imbalance
Junhang Wu, Ruimin Hu, Dengshi Li, et al.
Information Sciences (2024) Vol. 669, pp. 120580-120580
Closed Access | Times Cited: 4
JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations
Zhenquan Shi, Wengjian Zhang, Jiashuang Huang, et al.
Information Sciences (2025), pp. 122011-122011
Closed Access
Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning
Sichao Fu, Qinmu Peng, Yang He, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3464-3478
Closed Access | Times Cited: 3
Windowed hypergraph Fourier transform and vertex-frequency representation
Alcebiades Dal Col, Fabiano Petronetto, José R. de Oliveira Neto, et al.
Signal Processing (2024) Vol. 223, pp. 109538-109538
Closed Access | Times Cited: 3
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
WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing
Ruozhu Liu, Xingbing Wang, Anil Kumar, et al.
Micromachines (2023) Vol. 14, Iss. 7, pp. 1467-1467
Open Access | Times Cited: 5
Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion
Luying Zhong, Jielong Lu, Zhaoliang Chen, et al.
Information Sciences (2023) Vol. 658, pp. 120012-120012
Closed Access | Times Cited: 5
Brain-inspired GCN: Modularity-based Siamese simple graph convolutional networks
Xiao Yao, Huyue Zhu, Min Gu
Information Sciences (2023) Vol. 657, pp. 119971-119971
Closed Access | Times Cited: 4
Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning
Sichao Fu, Qinmu Peng, Xiaorui Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 5, pp. 3316-3326
Closed Access | Times Cited: 1
EEG-Based TSK Fuzzy Graph Neural Network for Driver Drowsiness Estimation
H. Chen, Jialiang Xie
Information Sciences (2024) Vol. 679, pp. 121101-121101
Closed Access | Times Cited: 1
Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning
Sichao Fu, Qinmu Peng, Ye He, et al.
Science China Information Sciences (2024) Vol. 68, Iss. 3
Closed Access | Times Cited: 1
A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity
Jikui Wang, Yiwen Wu, Shaobo Li, et al.
Neural Networks (2023) Vol. 168, pp. 431-449
Closed Access | Times Cited: 3
Self-Supervised Guided Hypergraph Feature Propagation for Semi-Supervised Classification with Missing Node Features
Cheng-xiang Lei, Sichao Fu, Yuetian Wang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 2
Design and implementation of short video multi-labels generating based on content-aware dynamic graph convolutional networks
Linyue Ma, Mi‐Mi Zhang
(2024), pp. 155-155
Closed Access
Multi-level discriminator based contrastive learning for multiplex networks
Hongrun Wu, Mingjie Zhang, Zhenglong Xiang, et al.
Neurocomputing (2024), pp. 128754-128754
Open Access
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