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:

Structure learning with similarity preserving
Zhao Kang, Xiao Lu, Yiwei Lu, et al.
Neural Networks (2020) Vol. 129, pp. 138-148
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

K-BEST subspace clustering: kernel-friendly block-diagonal embedded and similarity-preserving transformed subspace clustering
Jyoti Maggu, Anurag Goel
Pattern Analysis and Applications (2024) Vol. 27, Iss. 4
Closed Access | Times Cited: 1

Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering
Zhengrui Ma, Zhao Kang, Guangchun Luo, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8

Enforced Block Diagonal Graph Learning for Multikernel Clustering
Xingfeng Li, Yinghui Sun, Quansen Sun, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1753-1765
Closed Access | Times Cited: 3

Learning local graph from multiple kernels
Zheng Liu, Shiluo Huang, Wei Jin, et al.
Neurocomputing (2023) Vol. 556, pp. 126683-126683
Closed Access | Times Cited: 3

A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
Xiang Wang, Xiaoyong Li, Junxing Zhu, et al.
Lecture notes in computer science (2021), pp. 376-391
Closed Access | Times Cited: 7

Multi-view clustering indicator learning with scaled similarity
Liang Yao, Gui-Fu Lu
Pattern Analysis and Applications (2023) Vol. 26, Iss. 3, pp. 1395-1406
Closed Access | Times Cited: 2

Locality cross-view regression for feature extraction
Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 105, pp. 104414-104414
Closed Access | Times Cited: 5

Kernel Block Diagonal Representation Subspace Clustering with Similarity Preservation
Yifang Yang, Fei Li
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9345-9345
Open Access | Times Cited: 1

Bi-tuning: Efficient Transfer from Pre-trained Models
Jincheng Zhong, Haoyu Ma, Ximei Wang, et al.
Lecture notes in computer science (2023), pp. 357-373
Closed Access | Times Cited: 1

A novel adaptive safe semi-supervised learning framework for pattern extraction and classification
Jun Ma, Junjie Li, Jiachen Sun
AIMS Mathematics (2024) Vol. 9, Iss. 11, pp. 31444-31469
Open Access

Signed Network Representation by Preserving Multi-order Signed Proximity
Pinghua Xu, Wenbin Hu, Jia Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Open Access | Times Cited: 3

Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms
Maryam Abdolali, Nicolas Gillis
(2021)
Closed Access | Times Cited: 2

Generalized Locally-Linear Embedding: A Neural Network Implementation
Xiao Lu, Zhao Kang, Jiachun Tang, et al.
Communications in computer and information science (2020), pp. 97-106
Closed Access | Times Cited: 1

Contrastive Kernel Subspace Clustering
Qian Zhang, Zhao Kang, Zenglin Xu, et al.
Lecture notes in computer science (2023), pp. 399-410
Closed Access

Relation-Guided Representation Learning
Zhao Kang, Xiao Lu, Jian Liang, et al.
arXiv (Cornell University) (2020)
Open Access

Self-Adaptive Clustering of Dynamic Multi-Graph Learning
Bo Zhou, Yangding Li, Huang Xincheng, et al.
Neural Processing Letters (2021) Vol. 54, Iss. 4, pp. 2533-2548
Closed Access

Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, et al.
arXiv (Cornell University) (2021)
Open Access

A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks
Xiang Wang, Xiaoyong Li, Junxing Zhu, et al.
arXiv (Cornell University) (2021)
Open Access

Multi-view Contrastive Graph Clustering
Erlin Pan, Zhao Kang
arXiv (Cornell University) (2021)
Open Access

An improved multi-view graph clustering based on tissue-like P System
Huijian Chen, Xiyu Liu
2021 4th International Conference on Algorithms, Computing and Artificial Intelligence (2021), pp. 1-7
Closed Access

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