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 self-representation sparse regression and local similarity preserving
Ronghua Shang, Jiangwei Chang, Licheng Jiao, et al.
International Journal of Machine Learning and Cybernetics (2017) Vol. 10, Iss. 4, pp. 757-770
Closed Access | Times Cited: 22

Showing 22 citing articles:

Dual space latent representation learning for unsupervised feature selection
Ronghua Shang, Lujuan Wang, Fanhua Shang, et al.
Pattern Recognition (2021) Vol. 114, pp. 107873-107873
Closed Access | Times Cited: 42
Fast feature selection for interval-valued data through kernel density estimation entropy
Jianhua Dai, Ye Liu, Jiaolong Chen, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 12, pp. 2607-2624
Closed Access | Times Cited: 43
Key energy-consumption feature selection of thermal power systems based on robust attribute reduction with rough sets
Lianjie Dong, Degang Chen, Ningling Wang, et al.
Information Sciences (2020) Vol. 532, pp. 61-71
Closed Access | Times Cited: 38
Joint sparse representation and locality preserving projection for feature extraction
Wei Zhang, Peipei Kang, Xiaozhao Fang, et al.
International Journal of Machine Learning and Cybernetics (2018) Vol. 10, Iss. 7, pp. 1731-1745
Closed Access | Times Cited: 34
Supervised feature selection by constituting a basis for the original space of features and matrix factorization
Farid Saberi-Movahed, Mahdi Eftekhari, Mohammad Mohtashami
International Journal of Machine Learning and Cybernetics (2019) Vol. 11, Iss. 7, pp. 1405-1421
Closed Access | Times Cited: 34
Unsupervised feature selection with robust data reconstruction (UFS-RDR) and outlier detection
Abdul Wahid, Dost Muhammad Khan, Ijaz Hussain, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117008-117008
Closed Access | Times Cited: 14
Unsupervised attribute reduction based on $$\alpha $$-approximate equal relation in interval-valued information systems
Xiaofeng Liu, Jianhua Dai, Jiaolong Chen, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 9, pp. 2021-2038
Closed Access | Times Cited: 16
Double feature selection algorithm based on low-rank sparse non-negative matrix factorization
Ronghua Shang, Jiuzheng Song, Licheng Jiao, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 8, pp. 1891-1908
Closed Access | Times Cited: 15
A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification
Hong Yu, Qian Yang, Guoyin Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 10, pp. 4572-4585
Closed Access | Times Cited: 12
Filter-based unsupervised feature selection using Hilbert–Schmidt independence criterion
Samaneh Liaghat, Eghbal G. Mansoori
International Journal of Machine Learning and Cybernetics (2018) Vol. 10, Iss. 9, pp. 2313-2328
Closed Access | Times Cited: 12
A recursive feature retention method for semi-supervised feature selection
Qing-Qing Pang, Li Zhang
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 9, pp. 2639-2657
Closed Access | Times Cited: 10
Global structure-guided neighborhood preserving embedding for dimensionality reduction
Can Gao, Yong Li, Jie Zhou, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 7, pp. 2013-2032
Closed Access | Times Cited: 5
Latent energy preserving embedding for unsupervised feature selection
Zihao Song, Peng Song
Digital Signal Processing (2022) Vol. 132, pp. 103794-103794
Closed Access | Times Cited: 4
GAT-Based Bi-CARU with Adaptive Feature-Based Transformation for Video Summarisation
Ka‐Hou Chan, Sio‐Kei Im
Technologies (2024) Vol. 12, Iss. 8, pp. 126-126
Open Access
Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection
Xiangfa Song
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
Parallel Feature Subset Selection Wrappers Using k-means Classifier
Nikolaos Papaioannou, Alkiviadis Tsimpiris, Christos Talagozis, et al.
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2023) Vol. 20, pp. 76-86
Open Access | Times Cited: 1
A generalized stability estimator based on inter-intrastability of subsets for high-dimensional feature selection
Abdul Wahid, Dost Muhammad Khan, Nadeem Iqbal, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 220, pp. 104457-104457
Closed Access | Times Cited: 2
Robust Feature Selection by Filled Function and Fisher Score
Javad Hamidzadeh, Mahsa kelidari
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
GOLFS: feature selection via combining both global and local information for high dimensional clustering
Zhaoyu Xing, Yang Wan, Juan Wen, et al.
Computational Statistics (2023) Vol. 39, Iss. 5, pp. 2651-2675
Closed Access
CoSP: co-selection pick for a global explainability of black box machine learning models
Dou El Kefel Mansouri, Seif-Eddine Benkabou, Khaoula Meddahi, et al.
World Wide Web (2023) Vol. 26, Iss. 6, pp. 3965-3981
Closed Access
Feature selection based on sequential orthogonal search strategy
Azlyna Senawi
(2018)
Closed Access
Attribute Reduction for Incomplete and Unsupervised Data Based on Fuzzy Rough Sets
Linlin Wang, Liang Peng, Gangqiang Zhang
2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) (2021), pp. 674-679
Closed Access
Page 1

Scroll to top