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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:

Robust energy preserving embedding for multi-view subspace clustering
Haoran Li, Zhenwen Ren, Mithun Mukherjee, et al.
Knowledge-Based Systems (2020) Vol. 210, pp. 106489-106489
Closed Access | Times Cited: 24

Showing 24 citing articles:

Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering
Lele Fu, Jing‐Hua Yang, Chuan Chen, et al.
Information Sciences (2022) Vol. 606, pp. 877-891
Closed Access | Times Cited: 39
Self-taught Multi-view Spectral Clustering
Guo Zhong, Chi‐Man Pun
Pattern Recognition (2023) Vol. 138, pp. 109349-109349
Closed Access | Times Cited: 35
Comprehensive multi-view self-representations for clustering
Yuanbo Cheng, Peng Song, Jinshuai Mu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124103-124103
Closed Access | Times Cited: 7
Multi-scale deep multi-view subspace clustering with self-weighting fusion and structure preserving
Jiao Wang, Bin Wu, Zhenwen Ren, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119031-119031
Closed Access | Times Cited: 27
Deep low-rank tensor embedding for multi-view subspace clustering
Liu Zhao-hu, Peng Song
Expert Systems with Applications (2023) Vol. 237, pp. 121518-121518
Closed Access | Times Cited: 14
Seeded random walk for multi-view semi-supervised classification
Shiping Wang, Zhewen Wang, Kart–Leong Lim, et al.
Knowledge-Based Systems (2021) Vol. 222, pp. 107016-107016
Closed Access | Times Cited: 24
Low-Rank and Discriminate Block Diagonal Representation via Projection Reconstruction for Image Classification
Gang Zhu, Lixin Han
Digital Signal Processing (2025), pp. 105194-105194
Closed Access
Consistency and inconsistency guided multi-view subspace clustering based on low-rank tensor and comprehensive similarity
Ying Yan, Hongmei Chen, Tengyu Yin, et al.
Knowledge-Based Systems (2025), pp. 113523-113523
Closed Access
Exclusivity and consistency induced NMF for multi-view representation learning
Haonan Huang, Guoxu Zhou, Yanghang Zheng, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111020-111020
Closed Access | Times Cited: 9
Learning an enhanced consensus representation for multi-view clustering via latent representation correlation preserving
Zhongyan Gui, Jing Yang, Zhiqiang Xie
Knowledge-Based Systems (2022) Vol. 253, pp. 109479-109479
Closed Access | Times Cited: 13
Multi-view subspace clustering with inter-cluster consistency and intra-cluster diversity among views
Huazhu Chen, Xue–Cheng Tai, Weiwei Wang
Applied Intelligence (2022) Vol. 52, Iss. 8, pp. 9239-9255
Closed Access | Times Cited: 12
Center consistency guided multi-view embedding anchor learning for large-scale graph clustering
Xinyue Zhang, Zhenwen Ren, Chao Yang
Knowledge-Based Systems (2022) Vol. 260, pp. 110162-110162
Closed Access | Times Cited: 10
Multi-view Clustering with Latent Low-rank Proxy Graph Learning
Jian Dai, Zhenwen Ren, Yunzhi Luo, et al.
Cognitive Computation (2021) Vol. 13, Iss. 4, pp. 1049-1060
Closed Access | Times Cited: 11
Multi-view clustering with dual tensors
Yong Mi, Zhenwen Ren, Zhi Xu, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 8027-8038
Closed Access | Times Cited: 7
Confidence level auto-weighting robust multi-view subspace clustering
Xiaoqian Zhang, Jing Wang, Xuqian Xue, et al.
Neurocomputing (2021) Vol. 475, pp. 38-52
Closed Access | Times Cited: 7
Robust Multiview Subspace Clustering of Images via Tighter Rank Approximation
Xiaoli Sun, Youjuan Wang, Ming Yang, et al.
IEEE Access (2021) Vol. 9, pp. 81173-81188
Open Access | Times Cited: 5
Robust dimensionality reduction method based on relaxed energy and structure preserving embedding for multiview clustering
Zhongyan Gui, Jing Yang, Zhiqiang Xie
Information Sciences (2022) Vol. 621, pp. 506-523
Closed Access | Times Cited: 3
Auto-weighted multiple kernel tensor clustering
Yanlong Wang, Jinhua Liu, Cun Chang, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 6, pp. 6863-6874
Open Access | Times Cited: 1
Contrastive Consistency and Attentive Complementarity for Deep Multi-View Subspace Clustering
Jiao Wang, Bin Wu, Hongying Zhang
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 143-160
Open Access
Self-paced latent embedding space learning for multi-view clustering
Haoran Li, Zhenwen Ren, Chunyu Zhao, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 11, pp. 3373-3386
Closed Access | Times Cited: 2
Robust multi-view low-rank embedding clustering
Jian Dai, Hong Song, Yunzhi Luo, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7877-7890
Closed Access | Times Cited: 2
Multi-view latent structure learning with rank recovery
Jun He, Hongmei Chen, Tianrui Li, et al.
Applied Intelligence (2022) Vol. 53, Iss. 10, pp. 12647-12665
Closed Access | Times Cited: 1
Revisiting data augmentation for subspace clustering
Maryam Abdolali, Nicolas Gillis
Knowledge-Based Systems (2022) Vol. 258, pp. 109974-109974
Open Access | Times Cited: 1
Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering
Qinghai Zheng, Jihua Zhu, Zhongyu Li, et al.
arXiv (Cornell University) (2020)
Open Access
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