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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:

A novel network core structure extraction algorithm utilized variational autoencoder for community detection
Rong Fei, Yuxin Wan, Bo Hu, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119775-119775
Closed Access | Times Cited: 23

Showing 23 citing articles:

A comprehensive review of community detection in graphs
Jiakang Li, Songning Lai, Zhihao Shuai, et al.
Neurocomputing (2024) Vol. 600, pp. 128169-128169
Open Access | Times Cited: 12
Improving community detection algorithms in directed graphs with fuzzy measures. An application to mobility networks
Inmaculada Gutiérrez, Marcos Damian Perez, Daniel Gómez, et al.
Expert Systems with Applications (2025), pp. 126305-126305
Closed Access | Times Cited: 1
Community detection algorithm for social network based on node intimacy and graph embedding model
Di Huang, Jinbao Song, Yu He
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107947-107947
Closed Access | Times Cited: 7
An extended trust and distrust network-based dual fuzzy recommendation model and its application based on user-generated content
Sichao Chen, Shengjia Zhou
Expert Systems with Applications (2024) Vol. 248, pp. 123360-123360
Closed Access | Times Cited: 4
Rethinking eigenpairs: Community detection with orthogonality
Liping Yan, Jie Cao, Weiren Yu, et al.
Knowledge-Based Systems (2025), pp. 113053-113053
Closed Access
Revisiting Dynamic Graph Clustering via Matrix Factorization
Dongyuan Li, Satoshi Kosugi, Ying Zhang, et al.
(2025), pp. 1342-1352
Open Access
Deep core node information embedding on networks with missing edges for community detection
Rong Fei, Yuxin Wan, Bo Hu, et al.
Information Sciences (2025), pp. 122039-122039
Closed Access
Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process
Adrian Matias Chung Baek, Taehwan Kim, Minkyu Seong, et al.
Virtual and Physical Prototyping (2025) Vol. 20, Iss. 1
Open Access
Social Network Analysis: A Novel Paradigm for Improving Community Detection
Rodrigo Hernández, Inmaculada Gutiérrez, Javier Castro
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Gesture Recognition Based on EEMD and Cosine Laplacian Eigenmap
Yue Li, Junhuai Li, Pengjia Tu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 16332-16342
Closed Access | Times Cited: 10
Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network
Qingming Kong, Jianyong Sun, Zongben Xu
Knowledge-Based Systems (2023) Vol. 283, pp. 111192-111192
Closed Access | Times Cited: 9
P4PC: A Portal for Bioinformatics Resources of piRNAs and circRNAs
Yajun Liu, Ru Li, Yulian Ding, et al.
Current Bioinformatics (2024) Vol. 19, Iss. 9, pp. 873-878
Closed Access | Times Cited: 2
A hybrid information-based two-phase expansion algorithm for community detection with imbalanced scales
Shi‐Liang Liu, Xinyao Zhang, Yinglong Ma
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4814-4833
Closed Access | Times Cited: 2
A novel three-phase expansion algorithm for uncovering communities in social networks using local influence and similarity in embedding space
Meriem Adraoui, Elyazid Akachar, Yahya Bougteb, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100472-100472
Open Access | Times Cited: 2
A Multi-Embedding Fusion Network for attributed graph clustering
Hongtao Liu, Xianbin Lu, Kefei Cheng, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112073-112073
Closed Access | Times Cited: 2
SVAE‐GRU‐based degradation generation and prediction for small samples
Anqi Shangguan, Nan Feng, Lingxia Mu, et al.
Quality and Reliability Engineering International (2023)
Closed Access | Times Cited: 2
IGA-SOMK + + : a new clustering method for constructing web user profiles of older adults in China
Y. J. Li, Chengqi Liu, Xinyue Hu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 3, pp. 2397-2427
Closed Access
Adaptive robust structure exploration for complex systems based on model configuration and fusion
Yingfei Qu, Wanbing Liu, Junhao Wen, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1983-e1983
Open Access
Community Detection Using Deep Learning: Combining Variational Graph Autoencoders with Leiden and K-Truss Techniques
Jyotika Hariom Patil, Πέτρος Ποτίκας, William Andreopoulos, et al.
Information (2024) Vol. 15, Iss. 9, pp. 568-568
Open Access
Community Detection Algorithm Based On High-Order Variational Graph Autoencoder
Yiwen Shen, Xiaoyan Zheng, Ran Yang
(2024), pp. 118-124
Closed Access
Graph autoencoder (GAE) for community detection in social networks
Pratibha Joshi, Buddha Singh
International Journal of Data Science and Analytics (2024)
Closed Access
Unsupervised Community Detection Algorithm with Stochastic Competitive Learning Incorporating Local Node Similarity
Jian Huang, Yijun Gu
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10496-10496
Open Access | Times Cited: 1
MLPPF: Multi-Label Prediction of piRNA Functions Based on Pretrained k-mer, Positional Embedding and an Improved TextRNN Model
Yajun Liu, Ru Li, Yang Lu, et al.
Electronics (2023) Vol. 13, Iss. 1, pp. 92-92
Open Access
Prediction of piRNA-mRNA interactions based on an interactive inference network
Yajun Liu, Ru Li, Aimin Li, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 251-254
Closed Access
Deep Embedding Clustering on Citation Networks for Community Detection
H. S. Peng, Rong Fei, Yuxin Wan, et al.
(2023), pp. 81-87
Closed Access
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