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:

Key nodes identification in complex networks based on subnetwork feature extraction
Luyuan Gao, Xiaoyang Liu, Chao Liu, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101631-101631
Open Access | Times Cited: 8

Showing 8 citing articles:

Node importance evaluation in heterogeneous network based on attention mechanism and graph contrastive learning
Jian Shu, Yiling Zou, Hui Cui, et al.
Neurocomputing (2025), pp. 129555-129555
Closed Access

DCKHCNN: A Multimetric Graph‐Based Convolutional Neural Network for Identifying Key Influential Nodes in Earth Surface Data Linked Networks
Qinjun Qiu, Jiandong Liu, Mengqi Hao, et al.
Transactions in GIS (2025) Vol. 29, Iss. 2
Closed Access

Key origin–destination pairs perception reasoning approach
Zheyuan Jiang, Ziyi Shi, Zheng Zhu, et al.
Computer-Aided Civil and Infrastructure Engineering (2025)
Closed Access

A graph convolutional network model based on regular equivalence for identifying influential nodes in complex networks
Yihang Wu, Yanmei Hu, Siyuan Yin, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112235-112235
Closed Access | Times Cited: 2

A neural diffusion model for identifying influential nodes in complex networks
Waseem Ahmad, Bang Wang
Chaos Solitons & Fractals (2024) Vol. 189, pp. 115682-115682
Closed Access | Times Cited: 1

Estimating the relative importance of nodes in complex networks based on network embedding and gravity model
Na Zhao, Qian Liu, Hao Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101758-101758
Open Access | Times Cited: 3

Multi-view learning-based heterogeneous network representation learning
Lei Chen, Yuan Li, Xingye Deng
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101855-101855
Open Access | Times Cited: 2

Graph neural link predictor based on cycle structure
Yanlin Yang, Zhonglin Ye, Lei Meng, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access

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