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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:

Gene selection for microarray data classification via dual latent representation learning
Xiao Zheng, Chujie Zhang
Neurocomputing (2021) Vol. 461, pp. 266-280
Closed Access | Times Cited: 10

Showing 10 citing articles:

A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis
Tarneem Elemam, Mohamed Elshrkawey
The Scientific World JOURNAL (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 13
Two-stage feature selection for classification of gene expression data based on an improved Salp Swarm Algorithm
Xiwen Qin, Shuang Zhang, Dongmei Yin, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 12, pp. 13747-13781
Open Access | Times Cited: 9
Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning
Weiyi Li, Hongmei Chen, Tianrui Li, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 9, pp. 3025-3045
Closed Access | Times Cited: 2
Cancer prediction using graph-based gene selection and explainable classifier
Mehrdad Rostami, Mourad Oussalah
Finnish Journal of eHealth and eWelfare (2022) Vol. 14, Iss. 1, pp. 61-78
Open Access | Times Cited: 3
Optimizing High Dimensional Data Feature Selection: A Strategy Based on Augmented Mutual Information and Conditional Dependency
Manikandan Govindaraju, Abirami Murugappan
(2024)
Closed Access
Adaptive Graph-Based Manifold Learning for Gene Selection
Reshma Rastogi, Mamta Bhattarai Lamsal
Lecture notes in computer science (2024), pp. 453-468
Closed Access
Subspace learning using low-rank latent representation learning and perturbation theorem: Unsupervised gene selection
Amir Moslemi, Fariborz Baghaei Naeini
Computers in Biology and Medicine (2024) Vol. 185, pp. 109567-109567
Closed Access
Predictive modelling for molecular cancer profile classification using hybrid learning techniques
Swati B. Bhonde, Sharmila K. Wagh, Jayashree R. Prasad
Soft Computing (2023)
Closed Access | Times Cited: 1
Semi-supervised feature selection based on pairwise constraint-guided dual space latent representation learning and double sparse graphs discriminant
Hao Chen, Hongmei Chen, Weiyi Li, et al.
Applied Intelligence (2022) Vol. 53, Iss. 10, pp. 12288-12307
Closed Access | Times Cited: 1
An Adaptive Local Gravitation-based Optimized Weighted Consensus Clustering for Gene Expression Data Classification
M. Sangeetha, Kousalya Rangaswamy
International journal of intelligent engineering and systems (2022) Vol. 15, Iss. 6, pp. 647-656
Open Access | Times Cited: 1
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