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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:

Joint learning of graph and latent representation for unsupervised feature selection
Xijiong Xie, Zhiwen Cao, Feixiang Sun
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 25282-25295
Closed Access | Times Cited: 13

Showing 13 citing articles:

Multi-view unsupervised feature selection with consensus partition and diverse graph
Zhiwen Cao, Xijiong Xie, Yuqi Li
Information Sciences (2024) Vol. 661, pp. 120178-120178
Closed Access | Times Cited: 13
Multi-view unsupervised complementary feature selection with multi-order similarity learning
Zhiwen Cao, Xijiong Xie
Knowledge-Based Systems (2023) Vol. 283, pp. 111172-111172
Closed Access | Times Cited: 14
Robust Multi-view Unsupervised Feature Selection via Latent Consensus Structure Learning
Chenxi Wang, Peng Song
Information Sciences (2025), pp. 122177-122177
Closed Access
Graph-driven feature selection via granular-rectangular neighborhood rough sets for interval-valued data sets
Xiaoyan Zhang, X. Y. Shen
Applied Soft Computing (2025) Vol. 170, pp. 112716-112716
Closed Access
Exploring View-Specific Label Relationships for Multi-View Multi-Label Feature Selection
Pingting Hao, Weiping Ding, Wanfu Gao, et al.
Information Sciences (2024) Vol. 681, pp. 121215-121215
Closed Access | Times Cited: 3
Dual-dual subspace learning with low-rank consideration for feature selection
Amir Moslemi, Mahdi Bidar
Physica A Statistical Mechanics and its Applications (2024) Vol. 651, pp. 129997-129997
Closed Access | Times Cited: 2
A novel feature selection method with transition similarity measure using reinforcement learning
Younes Bouchlaghem, Yassine Akhiat, Kaouthar Touchanti, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100477-100477
Open Access | Times Cited: 1
Low-rank tensor based smooth representation learning for multi-view unsupervised feature selection
Chenxi Wang, Peng Song, Meng Duan, et al.
Knowledge-Based Systems (2024), pp. 112902-112902
Closed Access | Times Cited: 1
Consensus and Discriminative Non-negative Matrix Factorization for Multi-view Unsupervised Feature Selection
Meng Duan, Peng Song, Shixuan Zhou, et al.
Digital Signal Processing (2024) Vol. 154, pp. 104668-104668
Closed Access
Adaptive and flexible $$\ell _1$$-norm graph embedding for unsupervised feature selection
Kun Jiang, Ting Cao, Lei Zhu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11732-11751
Closed Access
High-order correlation preserved multi-view unsupervised feature selection
Meng Duan, Peng Song, Shixuan Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109507-109507
Closed Access
Robust unsupervised feature selection based on matrix factorization with adaptive loss via bi-stochastic graph regularization
Xiangfa Song
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access
Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer’s disease
Yu Luo, Hongmei Chen, Tengyu Yin, et al.
Information Fusion (2024) Vol. 112, pp. 102546-102546
Closed Access
Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selection
Amir Moslemi, Fariborz Baghaei Naeini
Computers in Biology and Medicine (2024) Vol. 185, pp. 109567-109567
Closed Access
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