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 adaptive hypergraph embedded dictionary learning
Xiao Zheng, Wenyang Zhu, Chang Tang, et al.
Gene (2019) Vol. 706, pp. 188-200
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Hypergraph Learning: Methods and Practices
Yue Gao, Zizhao Zhang, Haojie Lin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020), pp. 1-1
Closed Access | Times Cited: 207

Graph-based relevancy-redundancy gene selection method for cancer diagnosis
Saeid Azadifar, Mehrdad Rostami, Kamal Berahmand, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105766-105766
Open Access | Times Cited: 80

Gene selection for microarray data classification via multi-objective graph theoretic-based method
Mehrdad Rostami, Saman Forouzandeh, Kamal Berahmand, et al.
Artificial Intelligence in Medicine (2021) Vol. 123, pp. 102228-102228
Open Access | Times Cited: 97

Gene selection for cancer types classification using novel hybrid metaheuristics approach
Alok Kumar Shukla, Pradeep Singh, Manu Vardhan
Swarm and Evolutionary Computation (2020) Vol. 54, pp. 100661-100661
Closed Access | Times Cited: 74

A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 53

Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture
Anju Das, N. Neelima, K. Deepa, et al.
IEEE Access (2024) Vol. 12, pp. 62234-62255
Open Access | Times Cited: 7

I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee, Kijung Shin
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8456-8464
Open Access | Times Cited: 16

HGATGS: Hypergraph Attention Network for Crop Genomic Selection
Xuliang He, Kaiyi Wang, Liyang Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 4, pp. 409-409
Open Access

Diagnosis of Alzheimer’s disease using hypergraph p-Laplacian regularized multi-task feature learning
Yanjiao Ban, Huan Lao, Bin Li, et al.
Journal of Biomedical Informatics (2023) Vol. 140, pp. 104326-104326
Open Access | Times Cited: 11

Hypergraph Computation
Qionghai Dai, Yue Gao
Artificial intelligence: foundations, theory, and algorithms/Artificial intelligence: Foundations, theory, and algorithms (2023)
Closed Access | Times Cited: 11

Fast and Robust Unsupervised Dimensionality Reduction with Adaptive Bipartite Graphs
Fan Niu, Xiaowei Zhao, Jun Guo, et al.
Knowledge-Based Systems (2023) Vol. 276, pp. 110680-110680
Closed Access | Times Cited: 6

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

A New Filter Approach Based on Effective Ranges for Classification of Gene Expression Data
Derya Turfan, Bülent Altunkaynak, Özgür Yeniay
Big Data (2024) Vol. 12, Iss. 4, pp. 312-330
Closed Access

A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method
Hüseyin Güney, Hüseyin Öztoprak
Düzce Üniversitesi Bilim ve Teknoloji Dergisi (2024) Vol. 12, Iss. 2, pp. 1000-1035
Open Access

A multi-objective gene selection for cancer diagnosis using particle swarm optimization and mutual information
Azar Rafie, Parham Moradi
Journal of Ambient Intelligence and Humanized Computing (2024)
Closed Access

Graph convolutional network for water network partitioning
Yi-wen Chen, Si-qi Hu, Ming Li, et al.
Expert Systems with Applications (2024) Vol. 261, pp. 125502-125502
Closed Access

CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA–Disease Association Prediction
Rong Zhu, Yong Wang, Ling-Yun Dai
Journal of Computational Biology (2024)
Closed Access

A graph partitioning-based hybrid feature selection method in microarray datasets
Abdelali Oubaouzine, Tayeb Ouaderhman, Hasna Chamlal
Knowledge and Information Systems (2024) Vol. 67, Iss. 1, pp. 633-660
Closed Access

Enhancing Cancer Diagnosis Through Aco-Based Gene Selection in Rna-Seq Data Analysis and Biomarker Identification
Atousa Ataei, Mehrdad Bayandori, Alexandra Salmakova, et al.
(2024)
Closed Access

Mathematical Foundations of Hypergraph
Qionghai Dai, Yue Gao
Artificial intelligence: foundations, theory, and algorithms/Artificial intelligence: Foundations, theory, and algorithms (2023), pp. 19-40
Closed Access | Times Cited: 1

A Comprehensive Study on the Application of Grey Wolf Optimization for Microarray Data
Swati Sucharita, Barnali Sahu, Tripti Swarnkar
(2021), pp. 211-248
Closed Access | Times Cited: 3

Gene Correlation Guided Gene Selection for Microarray Data Classification
Dong Yang, Xuchang Zhu
BioMed Research International (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 3

CLASSIFICATION OF HEALTHY PEOPLE AND PD PATIENTS USING TAKAGI–SUGENO FUZZY MODEL-BASED INSTANCE SELECTION AND WAVELET TRANSFORMS
Sang-Hong Lee
Journal of Mechanics in Medicine and Biology (2020) Vol. 20, Iss. 10, pp. 2040039-2040039
Open Access

A Hybrid EM-Based Boosting Classification Model for Microarray Somatic Disease Prediction
Shaik Mahaboob Basha, Nagaraju Devarakonda
Advances in web technologies and engineering book series (2022), pp. 189-208
Closed Access

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