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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:

Label-guided graph contrastive learning for semi-supervised node classification
Meixin Peng, Xin Juan, Zhanshan Li
Expert Systems with Applications (2023) Vol. 239, pp. 122385-122385
Closed Access | Times Cited: 14

Showing 14 citing articles:

Competitive dual-students using bi-level contrastive learning for semi-supervised medical image segmentation
Gang Hu, Zhao Feng, Essam H. Houssein
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110082-110082
Closed Access | Times Cited: 1
SGCL: Semi-supervised Graph Contrastive Learning with confidence propagation algorithm for node classification
Wenhao Jiang, Yuebin Bai
Knowledge-Based Systems (2024) Vol. 301, pp. 112271-112271
Closed Access | Times Cited: 5
Supervised contrastive learning for graph representation enhancement
Mohadeseh Ghayekhloo, Ahmad Nickabadi
Neurocomputing (2024) Vol. 588, pp. 127710-127710
Closed Access | Times Cited: 4
Robust graph representation learning with asymmetric debiased contrasts
Wen Li, Wing W. Y. Ng, Hengyou Wang, et al.
Expert Systems with Applications (2025), pp. 126345-126345
Closed Access
Rethinking the robustness of Graph Neural Networks: An information theory perspective
Ding Li, Hui Xia, Xin Li, et al.
Knowledge-Based Systems (2025), pp. 113221-113221
Closed Access
SLRNode: node similarity-based leading relationship representation layer in graph neural networks for node classification
Fuchuan Xiang, Yao Xiao, Fenglin Cen, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access
MREGDN: Multi-Relation Enhanced Graph Disentangled Network for semi-supervised node classification
Xinxin Liu, Weiren Yu
Expert Systems with Applications (2024) Vol. 251, pp. 123973-123973
Open Access | Times Cited: 3
Graph-based semi-supervised learning with non-convex graph total variation regularization
Tiehong Wen, Zhong Chen, Tao Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124709-124709
Closed Access | Times Cited: 1
A graph residual generation network for node classification based on multi-information aggregation
Zhenhuan Liang, Xiaofen Jia, Xiaolei Han, et al.
Deleted Journal (2024) Vol. 27, Iss. 1
Open Access | Times Cited: 1
Simple and efficient Hash sketching for tree-structured data
Wei Wu, Mi Jiang, Chuan Luo, et al.
Expert Systems with Applications (2024), pp. 125973-125973
Closed Access | Times Cited: 1
Pseudo Labeling Collaborative Embedding Representation: A Multi-Channel GCNs Framework for Semi-Supervised Node Classification
Mengnan Pang, Xun Wang, Jingjing Song, et al.
IEEE Access (2024) Vol. 12, pp. 64103-64113
Open Access
Node classification based on Attribute Fuse Edge Features and Label Adaptive Adjustment
Ronghua Shang, Ruolin Li, Chi Wang, et al.
Physica A Statistical Mechanics and its Applications (2024), pp. 130131-130131
Closed Access
Knowledge based attribute completion for heterogeneous graph node classification
Haibo Yu, Ziqiang Zheng, Yun Xue, et al.
Neurocomputing (2024), pp. 129023-129023
Closed Access
Unraveling and Mitigating Endogenous Task-oriented Spurious Correlations in Ego-graphs via Automated Counterfactual Contrastive Learning
Tianqianjin Lin, Yangyang Kang, Zhuoren Jiang, et al.
Expert Systems with Applications (2024) Vol. 266, pp. 126015-126015
Closed Access
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