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:

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: 17

Showing 17 citing articles:

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: 11

Sparse feature selection using hypergraph Laplacian-based semi-supervised discriminant analysis
Razieh Sheikhpour, Kamal Berahmand, Mehrnoush Mohammadi, et al.
Pattern Recognition (2024) Vol. 157, pp. 110882-110882
Closed Access | Times Cited: 7

Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets
Daoyuan Wang, Lianzhi Wang, Wenlan Chen, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110041-110041
Closed Access

Unsupervised Incremental-Decremental Attribute Learning Healthcare Application Based Feature Selection
Siwar Gorrab, Fahmi Ben Rejab, Kaouther Nouira
Communications in computer and information science (2025), pp. 292-310
Closed 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

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: 3

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

Unsupervised feature selection based on minimum-redundant subspace learning with self-weighted adaptive graph
Ziping Ma, Yilong Wei, Yulei Huang, et al.
Digital Signal Processing (2024) Vol. 155, pp. 104738-104738
Closed Access | Times Cited: 2

Multi-Target Feature Selection with Adaptive Graph Learning and Target Correlations
Yujing Zhou, Dubo He
Mathematics (2024) Vol. 12, Iss. 3, pp. 372-372
Open Access | Times Cited: 1

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

A novel feature selection method with transition similarity measure using reinforcement learning
Younes Bouchlaghem, Yassine Akhiat, Kaouthar Touchanti, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100477-100477
Open Access | Times Cited: 1

Effective monitoring of Noyyal River surface water quality using remote sensing and machine learning and GIS techniques
A. Adilakshmi, V. Venkatesan
Desalination and Water Treatment (2024) Vol. 320, pp. 100630-100630
Open Access | Times Cited: 1

Enhancing link prediction through node embedding and ensemble learning
Zhongyuan Chen, Y. Wang
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 1

Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning
Xiaojun Wang, Xu Li, Hao Yuan, et al.
Materials Today Communications (2024) Vol. 40, pp. 109997-109997
Closed Access | Times Cited: 1

DMTFS-FO: Dynamic multi-task feature selection based on flexible loss and orthogonal constraint
Yang Zhang, Jie Shi, Hong Zhao
Expert Systems with Applications (2024) Vol. 255, pp. 124588-124588
Closed Access

Feature Selection Based on Ranking Metagenomic Relative Abundance for Inflammatory Bowel Disease Prediction
Hien Thanh Thi Nguyen, Hat Nguyen Le, Nguyễn Thanh Hải
Lecture notes on data engineering and communications technologies (2024), pp. 94-105
Closed Access

Page 1

Scroll to top