
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 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: 10
Pei Huang, Zhaoming Kong, Mengying Xie, et al.
Pattern Recognition (2023) Vol. 142, pp. 109676-109676
Closed Access | Times Cited: 10
Showing 10 citing articles:
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
Jingyu Zhong, Ronghua Shang, Songhua Xu, et al.
Pattern Recognition (2024) Vol. 152, pp. 110453-110453
Closed Access | Times Cited: 12
Unsupervised feature selection via maximum relevance and minimum global redundancy
Xianyu Zuo, Wenbo Zhang, Xiangyu Wang, et al.
Pattern Recognition (2025), pp. 111483-111483
Closed Access | Times Cited: 1
Xianyu Zuo, Wenbo Zhang, Xiangyu Wang, et al.
Pattern Recognition (2025), pp. 111483-111483
Closed Access | Times Cited: 1
Unsupervised feature selection by learning exponential weights
Chenchen Wang, Jun Wang, Zhichen Gu, et al.
Pattern Recognition (2023) Vol. 148, pp. 110183-110183
Closed Access | Times Cited: 13
Chenchen Wang, Jun Wang, Zhichen Gu, et al.
Pattern Recognition (2023) Vol. 148, pp. 110183-110183
Closed Access | Times Cited: 13
Enhancing Unsupervised Feature Selection Via Double Sparsity Constrained Optimization
Xianchao Xiu, Anning Yang, Chenyi Huang, et al.
(2025)
Closed Access
Xianchao Xiu, Anning Yang, Chenyi Huang, et al.
(2025)
Closed Access
Multi-level sparse network lasso: Locally sparse learning with flexible sample clusters
Luhuan Fei, Xinyi Wang, Jiankun Wang, et al.
Neurocomputing (2025), pp. 129898-129898
Closed Access
Luhuan Fei, Xinyi Wang, Jiankun Wang, et al.
Neurocomputing (2025), pp. 129898-129898
Closed Access
Unsupervised feature selection with evolutionary sparsity
Shixuan Zhou, Yi Xiang, Han Huang, et al.
Neural Networks (2025) Vol. 189, pp. 107512-107512
Closed Access
Shixuan Zhou, Yi Xiang, Han Huang, et al.
Neural Networks (2025) Vol. 189, pp. 107512-107512
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
Jiarui Kong, Ronghua Shang, Weitong Zhang, et al.
Pattern Recognition (2024) Vol. 154, pp. 110617-110617
Closed Access | Times Cited: 3
FS-MGKC: Feature selection based on structural manifold learning with multi-granularity knowledge coordination
Jie Shi, Hong Zhao
Information Sciences (2023) Vol. 648, pp. 119555-119555
Closed Access | Times Cited: 7
Jie Shi, Hong Zhao
Information Sciences (2023) Vol. 648, pp. 119555-119555
Closed Access | Times Cited: 7
Multi-Level Sparse Network Lasso: Locally Sparse Learning with Flexible Sample Clusters
Luhuan Fei, Xinyi Wang, Jiankun Wang, et al.
(2024)
Closed Access
Luhuan Fei, Xinyi Wang, Jiankun Wang, et al.
(2024)
Closed Access
Unsupervised Feature Selection via Principal Component Analysis and Possibillistic Graph Learning
Zijian Xiao
(2024), pp. 1502-1509
Closed Access
Zijian Xiao
(2024), pp. 1502-1509
Closed Access