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:

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

Showing 13 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: 17

Unsupervised feature selection with adaptive multiple graph learning
Peng Zhou, Liang Du, Xuejun Li, et al.
Pattern Recognition (2020) Vol. 105, pp. 107375-107375
Closed Access | Times Cited: 43

Balanced Spectral Feature Selection
Peng Zhou, Jiangyong Chen, Liang Du, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 7, pp. 4232-4244
Closed Access | Times Cited: 27

Redundancy Removed Dual-Tree Discrete Wavelet Transform to Construct Compact Representations for Automated Seizure Detection
Xinyu Jiang, Ke Xu, Renjie Zhang, et al.
Applied Sciences (2019) Vol. 9, Iss. 23, pp. 5215-5215
Open Access | Times Cited: 10

Local Sensitive Dual Concept Factorization for Unsupervised Feature Selection
Hua Zhao, Liang Du, Wei Jiang-lai, et al.
IEEE Access (2020) Vol. 8, pp. 133128-133143
Open Access | Times Cited: 8

Unsupervised Feature Selection and Clustering Optimization Based on Improved Differential Evolution
Tao Li, Hongbin Dong
IEEE Access (2019) Vol. 7, pp. 140438-140450
Open Access | Times Cited: 6

Discriminative Multiple Kernel Concept Factorization for Data Representation
Lin Mu, Haiying Zhang, Liang Du, et al.
IEEE Access (2020) Vol. 8, pp. 175086-175100
Open Access | Times Cited: 6

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

Unsupervised Dual Learning for Feature and Instance Selection
Liang Du, Xin Ren, Peng Zhou, et al.
IEEE Access (2020) Vol. 8, pp. 170248-170260
Open Access | Times Cited: 4

Consensus Graph Weighting via Trace Ratio Criterion for Multi-view Unsupervised Feature Selection
Liang Du, Xiaolin Lv
2021 International Conference on Data Mining Workshops (ICDMW) (2019), pp. 615-619
Closed Access | Times Cited: 1

Direct Alignment Maximization for Clustering Ensemble
Liang Du, Kang Yang, Yunhui Liang, et al.
(2021), pp. 38-43
Closed Access | Times Cited: 1

Scalable unsupervised feature selection via matrix learning and bipartite graph theory
Kosar Salehnezhad, Negin Daneshpour
Journal of Iranian Association of Electrical and Electronics Engineers (2023) Vol. 20, Iss. 3, pp. 135-148
Open Access

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