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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:

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

Showing 11 citing articles:

Edge propagation for link prediction in requirement-cyber threat intelligence knowledge graph
Yang Zhang, Jiarui Chen, Zhe Cheng, et al.
Information Sciences (2023) Vol. 653, pp. 119770-119770
Closed Access | Times Cited: 14
Reject inference for default prediction based on three-way decision theory and bagging ensemble model: Evidence from Chinese MSEs
Zhe Li, Promise Li, Yuxin Hu, et al.
Expert Systems with Applications (2025), pp. 126448-126448
Closed Access
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
Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning
Hongbin Pei, Yuheng Xiong, Pinghui Wang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 434-445
Closed Access | Times Cited: 2
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
Node classification based on structure migration and graph attention convolutional crossover network
Ruolin Li, Chi Wang, Ronghua Shang, et al.
Knowledge-Based Systems (2024), pp. 112813-112813
Closed Access | Times Cited: 1
Local structure-aware graph contrastive representation learning
Kai Yang, Yuan Liu, Zijuan Zhao, et al.
Neural Networks (2023) Vol. 172, pp. 106083-106083
Open Access | Times Cited: 3
Review of Image Classification Algorithms Based on Graph Convolutional Networks
Wenhao Tang
EAI Endorsed Transactions on AI and Robotics (2023) Vol. 2
Open Access | Times Cited: 2
ISL-GKFDA: An incomplete supervision manifold learning framework based on propagation graph of data
Yong Cai, Xiulan Hao
Information Sciences (2023) Vol. 647, pp. 119449-119449
Closed Access | Times Cited: 1
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
Zhihao Ding, J. Y. Shi, Shiqi Shen, et al.
(2024), pp. 467-476
Closed Access
A novel self-training framework for semi-supervised soft sensor modeling based on indeterminate variational autoencoder
Hengqian Wang, Lei Chen, Kuangrong Hao, et al.
Information Sciences (2024), pp. 121565-121565
Closed Access
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