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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:

Graph regularized locally linear embedding for unsupervised feature selection
Jianyu Miao, Tiejun Yang, Lijun Sun, et al.
Pattern Recognition (2021) Vol. 122, pp. 108299-108299
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Autoencoders and their applications in machine learning: a survey
Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 106
Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches
Guojie Li, Zhiwen Yu, Kaixiang Yang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6124-6144
Closed Access | Times Cited: 17
Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning
Cheng Liang, Lianzhi Wang, Li Liu, et al.
Pattern Recognition (2023) Vol. 141, pp. 109632-109632
Closed Access | Times Cited: 26
Structure learning with consensus label information for multi-view unsupervised feature selection
Zhiwen Cao, Xijiong Xie
Expert Systems with Applications (2023) Vol. 238, pp. 121893-121893
Closed Access | Times Cited: 23
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-source fault data fusion diagnosis method based on hyper-feature space graph collaborative embedding
Xiaoxin Dong, Hua Ding, Dawei Gao, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103092-103092
Closed Access | Times Cited: 1
Adaptive and fuzzy locality discriminant analysis for dimensionality reduction
Jingyu Wang, Hengheng Yin, Feiping Nie, et al.
Pattern Recognition (2024) Vol. 151, pp. 110382-110382
Closed Access | Times Cited: 6
Unsupervised feature selection via adaptive graph and dependency score
Pei Huang, Xiaowei Yang
Pattern Recognition (2022) Vol. 127, pp. 108622-108622
Closed Access | Times Cited: 23
Hyper-class representation of data
Shichao Zhang, Jiaye Li, Wenzhen Zhang, et al.
Neurocomputing (2022) Vol. 503, pp. 200-218
Open Access | Times Cited: 22
Structural regularization based discriminative multi-view unsupervised feature selection
Shixuan Zhou, Peng Song, Yanwei Yu, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110601-110601
Closed Access | Times Cited: 14
Sparse feature selection via fast embedding spectral analysis
Jingyu Wang, Hongmei Wang, Feiping Nie, et al.
Pattern Recognition (2023) Vol. 139, pp. 109472-109472
Closed Access | Times Cited: 13
Subspace learning via Hessian regularized latent representation learning with $${l}_{2,0}$$-norm constraint: unsupervised feature selection
Amir Moslemi, Afshin Shaygani
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 11, pp. 5361-5380
Closed Access | Times Cited: 5
Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease
Zhongwei Huang, Jianqiang Li, Jiatao Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110342-110342
Closed Access
Joint subspace learning and subspace clustering based unsupervised feature selection
Z. J. Xiao, Hongmei Chen, Yong Mi, et al.
Neurocomputing (2025), pp. 129885-129885
Closed Access
SFS-AGGL: Semi-Supervised Feature Selection Integrating Adaptive Graph with Global and Local Information
Yugen Yi, Haoming Zhang, Ningyi Zhang, et al.
Information (2024) Vol. 15, Iss. 1, pp. 57-57
Open Access | Times Cited: 4
A fast algorithm to solve large-scale matrix games based on dimensionality reduction and its application in multiple unmanned combat air vehicles attack-defense decision-making
Shouyi Li, Mou Chen, Yuhui Wang, et al.
Information Sciences (2022) Vol. 594, pp. 305-321
Closed Access | Times Cited: 17
Supervised feature selection on gene expression microarray datasets using manifold learning
Masoumeh Zare, Najmeh Azizizadeh, Ali Kazemipour
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 237, pp. 104828-104828
Closed Access | Times Cited: 9
Robust unsupervised feature selection via data relationship learning
Pei Huang, Zhaoming Kong, Mengying Xie, et al.
Pattern Recognition (2023) Vol. 142, pp. 109676-109676
Closed Access | Times Cited: 9
Explicit unsupervised feature selection based on structured graph and locally linear embedding
Jianyu Miao, Jingjing Zhao, Tiejun Yang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124568-124568
Closed Access | Times Cited: 3
Structure-aware preserving projections with applications to medical image clustering
Keyang Yu, y. M. Zhu, Xuesong Yin, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111576-111576
Closed Access | Times Cited: 2
Robust feature selection via central point link information and sparse latent representation
Jiarui Kong, Ronghua Shang, Weitong Zhang, et al.
Pattern Recognition (2024) Vol. 154, pp. 110617-110617
Closed Access | Times Cited: 2
Semi-supervised feature selection based on discernibility matrix and mutual information
W. B. Qian, Wan Li-juan, Wenhao Shu
Applied Intelligence (2024) Vol. 54, Iss. 13-14, pp. 7278-7295
Closed Access | Times Cited: 2
Completed sample correlations and feature dependency-based unsupervised feature selection
Tong Liu, Rongyao Hu, Yongxin Zhu
Multimedia Tools and Applications (2022) Vol. 82, Iss. 10, pp. 15305-15326
Open Access | Times Cited: 11
Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization
Congying Zeng, Hongmei Chen, Tianrui Li, et al.
Neurocomputing (2022) Vol. 511, pp. 1-21
Closed Access | Times Cited: 10
Unsupervised Feature Selection via Neural Networks and Self-Expression with Adaptive Graph Constraint
Mengbo You, Aihong Yuan, Dongjian He, et al.
Pattern Recognition (2022) Vol. 135, pp. 109173-109173
Closed Access | Times Cited: 10
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