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:

Unsupervised feature selection based on variance–covariance subspace distance
Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, et al.
Neural Networks (2023) Vol. 166, pp. 188-203
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

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: 19
A tutorial-based survey on feature selection: Recent advancements on feature selection
Amir Moslemi
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107136-107136
Closed Access | Times Cited: 33
Improved salp swarm algorithm based on Newton interpolation and cosine opposition-based learning for feature selection
Hongbo Zhang, Xiwen Qin, Xueliang Gao, et al.
Mathematics and Computers in Simulation (2024) Vol. 219, pp. 544-558
Closed Access | Times Cited: 13
Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation
Farid Saberi-Movahed, B. Biswas, Prayag Tiwari, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123645-123645
Closed Access | Times Cited: 13
Low-Redundant Unsupervised Feature Selection based on Data Structure Learning and Feature Orthogonalization
Mahsa Samareh-Jahani, Farid Saberi-Movahed, Mahdi Eftekhari, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122556-122556
Closed Access | Times Cited: 18
Non-convex feature selection based on feature correlation representation and dual manifold optimization
Ronghua Shang, Lizhuo Gao, Haijing Chi, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123867-123867
Closed Access | Times Cited: 7
Ecological states of watercourses regarding water quality parameters and hydromorphological parameters: deriving empirical equations by machine learning models
Mohammad Najafzadeh, Elahe Sadat Ahmadi-Rad, Daniel Gebler
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 2, pp. 665-688
Closed Access | Times Cited: 16
Self-paced regularized adaptive multi-view unsupervised feature selection
Xuanhao Yang, Hangjun Che, Man-Fai Leung, et al.
Neural Networks (2024) Vol. 175, pp. 106295-106295
Open Access | Times Cited: 6
Unsupervised feature selection using sparse manifold learning: Auto-encoder approach
Amir Moslemi, Mina Jamshidi
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103923-103923
Closed Access | Times Cited: 6
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
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: 4
Subspace Learning for Dual High-Order Graph Learning Based on Boolean Weight
Yilong Wei, Jinlin Ma, Ziping Ma, et al.
Entropy (2025) Vol. 27, Iss. 2, pp. 107-107
Open Access
Bilinear Self-Representation for Unsupervised Feature Selection with Structure Learning
H. Assadi, Faranges Kyanfar, Farid Saberi-Movahed, et al.
Neurocomputing (2025), pp. 129557-129557
Closed Access
Robust sparse orthogonal basis clustering for unsupervised feature selection
Jianyu Miao, Jingjing Zhao, Tiejun Yang, et al.
Expert Systems with Applications (2025), pp. 126890-126890
Closed Access
Unsupervised feature selection algorithm based on L 2,p -norm feature reconstruction
Wei Liu, Ning Qian, Guangwei Liu, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0318431-e0318431
Open Access
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
RFAE: A high-robust feature selector based on fractal autoencoder
Jingfeng Ou, Jiawei Li, Zhiliang Xia, et al.
Expert Systems with Applications (2025), pp. 127519-127519
Closed Access
Adaptive fast local discriminant analysis with whitening transform
Hong Chen, Feiping Nie, Yingcang Ma, et al.
Neural Networks (2025), pp. 107551-107551
Closed Access
An adaptive ranking moth flame optimizer for feature selection
Xiaobing Yu, Haoyu Wang, Yangchen Lu
Mathematics and Computers in Simulation (2023) Vol. 219, pp. 164-184
Closed Access | Times Cited: 9
A general adaptive unsupervised feature selection with auto-weighting
Huming Liao, Hongmei Chen, Tengyu Yin, et al.
Neural Networks (2024) Vol. 181, pp. 106840-106840
Closed Access | Times Cited: 3
Multi-view K-means clustering algorithm based on redundant and sparse feature learning
Guoping Kong, Yingcang Ma, Zhiwei Xing, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 633, pp. 129405-129405
Closed Access | Times Cited: 7
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
Dual regularized subspace learning using adaptive graph learning and rank constraint: Unsupervised feature selection on gene expression microarray datasets
Amir Moslemi, Arash Ahmadian
Computers in Biology and Medicine (2023) Vol. 167, pp. 107659-107659
Closed Access | Times Cited: 4
Facial age recognition based on deep manifold learning
Huiying Zhang, Jiayan Lin, Lan Hua Zhou, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 3, pp. 4485-4500
Open 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
Page 1 - Next Page

Scroll to top