Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Uncorrelated feature selection via sparse latent representation and extended OLSDA
Ronghua Shang, Jiarui Kong, Weitong Zhang, et al.
Pattern Recognition (2022) Vol. 132, pp. 108966-108966
Closed Access | Times Cited: 25

Showing 25 citing articles:

Hessian-based semi-supervised feature selection using generalized uncorrelated constraint
Razieh Sheikhpour, Kamal Berahmand, Saman Forouzandeh
Knowledge-Based Systems (2023) Vol. 269, pp. 110521-110521
Closed Access | Times Cited: 63
Feature clustering-Assisted feature selection with differential evolution
Peng Wang, Bing Xue, Jing Liang, et al.
Pattern Recognition (2023) Vol. 140, pp. 109523-109523
Closed Access | Times Cited: 29
Graph embedding orthogonal decomposition: A synchronous feature selection technique based on collaborative particle swarm optimization
Jingyu Zhong, Ronghua Shang, Songhua Xu, et al.
Pattern Recognition (2024) Vol. 152, pp. 110453-110453
Closed Access | Times Cited: 12
Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint
Peican Zhu, Xin Hou, Keke Tang, et al.
Information Sciences (2022) Vol. 622, pp. 68-82
Closed Access | Times Cited: 32
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: 15
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: 15
A local spline regression-based framework for semi-supervised sparse feature selection
Razieh Sheikhpour
Knowledge-Based Systems (2023) Vol. 262, pp. 110265-110265
Closed Access | Times Cited: 14
Incomplete Multi-view Feature Selection with Adaptive Consensus Graph Constraint for Parkinson's Disease Diagnosis
Zhongwei Huang, Jianqiang Li, Jun Wan, et al.
Applied Soft Computing (2025), pp. 112739-112739
Closed Access
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
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: 3
Adaptive unsupervised feature selection with robust graph regularization
Zhiwen Cao, Xijiong Xie, Feixiang Sun
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 2, pp. 341-354
Closed Access | Times Cited: 6
Two phase cooperative learning for supervised dimensionality reduction
Ioannis A. Nellas, Sotiris K. Tasoulis, Spiros V. Georgakopoulos, et al.
Pattern Recognition (2023) Vol. 144, pp. 109871-109871
Closed Access | Times Cited: 5
Sparse kernel k-means for high-dimensional data
Xin Guan, Yoshikazu Terada
Pattern Recognition (2023) Vol. 144, pp. 109873-109873
Closed Access | Times Cited: 4
Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection
Duanzhang Li, Hongmei Chen, Yong Mi, et al.
Pattern Recognition (2024) Vol. 155, pp. 110683-110683
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 | Times Cited: 1
Unsupervised feature selection based on bipartite graph and low-redundant regularization
Longyan Xiang, Hongmei Chen, Tengyu Yin, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112379-112379
Closed Access | Times Cited: 1
Data-driven adaptive and stable feature selection method for large-scale industrial systems
Xiuli Zhu, Yan Song, Peng Wang, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106097-106097
Closed Access | Times Cited: 1
Unsupervised feature selection algorithm based on redundancy learning and sparse regression
Guoping Kong, Yingcang Ma, Zhiwei Xing, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 625, pp. 128984-128984
Closed Access | Times Cited: 3
Unsupervised Feature Selection with Latent Relationship Penalty Term
Ziping Ma, Yulei Huang, Huirong Li, et al.
Axioms (2023) Vol. 13, Iss. 1, pp. 6-6
Open Access | Times Cited: 2
P2S distance induced locally conjugated orthogonal subspace learning for feature extraction
Bo Li, Zhao-Jie Yang, Anjie Guo
Expert Systems with Applications (2023) Vol. 238, pp. 122170-122170
Closed Access | Times Cited: 1
Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA
Duanzhang Li, Hongmei Chen, Yong Mi, et al.
Information Sciences (2024) Vol. 662, pp. 120227-120227
Closed Access
Parkinson’s disease classification and prediction via adaptive sparse learning from multiple modalities
Zhongwei Huang, Jianqiang Li, Jiatao Yang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107061-107061
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
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
Nonlinear Dynamic Process Robust Monitoring Based on Spatiotemporal Preserving Projections With Rank-Order Distance
Zhaojing Wang, Xiaoyun Yan, Zhenwei Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access
Page 1

Scroll to top