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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:

SPARSITY SCORE: A NOVEL GRAPH-PRESERVING FEATURE SELECTION METHOD
Mingxia Liu, Daoqiang Zhang
International Journal of Pattern Recognition and Artificial Intelligence (2014) Vol. 28, Iss. 04, pp. 1450009-1450009
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores
Mingxia Liu, Jun Zhang, Chunfeng Lian, et al.
IEEE Transactions on Cybernetics (2019), pp. 1-12
Open Access | Times Cited: 115
LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
Chao Yao, Ya‐Feng Liu, Bo Jiang, et al.
IEEE Transactions on Image Processing (2017) Vol. 26, Iss. 11, pp. 5257-5269
Closed Access | Times Cited: 101
Pairwise Constraint-Guided Sparse Learning for Feature Selection
Mingxia Liu, Daoqiang Zhang
IEEE Transactions on Cybernetics (2015) Vol. 46, Iss. 1, pp. 298-310
Closed Access | Times Cited: 84
A survey on online feature selection with streaming features
Xuegang Hu, Peng Zhou, Peipei Li, et al.
Frontiers of Computer Science (2017) Vol. 12, Iss. 3, pp. 479-493
Closed Access | Times Cited: 72
Feature selection with effective distance
Mingxia Liu, Daoqiang Zhang
Neurocomputing (2016) Vol. 215, pp. 100-109
Closed Access | Times Cited: 41
Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks
Mi Wang, Biao Jie, Weixin Bian, et al.
IEEE Access (2019) Vol. 7, pp. 35001-35011
Open Access | Times Cited: 32
Feature selection and mapping of local binary pattern for texture classification
Mohammad Hossein Shakoor, Reza Boostani, Malihe Sabeti, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 5, pp. 7639-7676
Closed Access | Times Cited: 16
SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy
Sheng Li, Lusi Li, Jun Yan, et al.
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 30, Iss. 8, pp. 1575-1587
Open Access | Times Cited: 27
Hierarchical Structured Sparse Learning for Schizophrenia Identification
Mingliang Wang, Xiaoke Hao, Jiashuang Huang, et al.
Neuroinformatics (2019) Vol. 18, Iss. 1, pp. 43-57
Closed Access | Times Cited: 16
Reliability-based robust multi-atlas label fusion for brain MRI segmentation
Liang Sun, Chen Zu, Wei Shao, et al.
Artificial Intelligence in Medicine (2019) Vol. 96, pp. 12-24
Closed Access | Times Cited: 15
Clustering-Based Band Selection Using Structural Similarity Index and Entropy for Hyperspectral Image Classification
Arsalan Ghorbanian, Yasser Maghsoudi, Ali Mohammadzadeh
Traitement du signal (2020) Vol. 37, Iss. 5, pp. 785-791
Open Access | Times Cited: 13
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection
Qianqian Wang, Long Li, Lishan Qiao, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 8
Local Graph Reconstruction for Parameter Free Unsupervised Feature Selection
Liang Du, Chaohong Ren, Xiaolin Lv, et al.
IEEE Access (2019) Vol. 7, pp. 102921-102930
Open Access | Times Cited: 13
Hypergraph regularized sparse feature learning
Mingxia Liu, Jun Zhang, Xiao-chun Guo, et al.
Neurocomputing (2016) Vol. 237, pp. 185-192
Closed Access | Times Cited: 12
Multi-modal dimensionality reduction using effective distance
Dan Zhang, Qi Zhu, Daoqiang Zhang
Neurocomputing (2017) Vol. 259, pp. 130-139
Closed Access | Times Cited: 12
Querying Representative and Informative Super-pixels for Filament Segmentation in Bioimages
Wei Shao, Sheng-Jun Huang, Mingxia Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 17, Iss. 4, pp. 1394-1405
Closed Access | Times Cited: 11
Combination of LBP Bin and Histogram Selections for Color Texture Classification
Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, et al.
Journal of Imaging (2020) Vol. 6, Iss. 6, pp. 53-53
Open Access | Times Cited: 11
Group-Wise Learning for Aurora Image Classification With Multiple Representations
Jun Zhang, Mingxia Liu, Ke Lü, et al.
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 8, pp. 4112-4124
Closed Access | Times Cited: 10
Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score
Kittikhun Meethongjan, Thongchai Surinwarangkoon, Vinh Truong Hoang
TELKOMNIKA (Telecommunication Computing Electronics and Control) (2020) Vol. 18, Iss. 6, pp. 3019-3019
Open Access | Times Cited: 10
Locally linear embedding vote: A novel filter method for feature selection
Zebiao Hu, Haishuang Yin, Yuanhong Liu
Measurement (2021) Vol. 190, pp. 110535-110535
Closed Access | Times Cited: 7
Latent low-rank representation with sparse consistency constraint for infrared and visible image fusion
Tiwei Tao, Ming-Xia Liu, Yingkun Hou, et al.
Optik (2022) Vol. 261, pp. 169102-169102
Closed Access | Times Cited: 4
Iterative sparsity score for feature selection and its extension for multimodal data
Chen Zu, Linling Zhu, Daoqiang Zhang
Neurocomputing (2017) Vol. 259, pp. 146-153
Closed Access | Times Cited: 5
Band selection for hyperspectral image classification with spatial–spectral regularized sparse graph
Puhua Chen, Licheng Jiao
Journal of Applied Remote Sensing (2017) Vol. 11, Iss. 1, pp. 010501-010501
Closed Access | Times Cited: 4
A Filter-based Unsupervised Feature Selection Method via Improved Local Structure Preserving
Liang Du, Xiaolin Lv, Chaohong Ren, et al.
(2019), pp. 162-169
Closed Access | Times Cited: 4
A new graph-preserving unsupervised feature selection embedding LLE with low-rank constraint and feature-level representation
Xiaohong Han, Haishui Chai, Ping Liu, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 2875-2903
Closed Access | Times Cited: 3
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