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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:

Microarray cancer feature selection: Review, challenges and research directions
Moshood A. Hambali, Tinuke Omolewa Oladele, Kayode S. Adewole
International Journal of Cognitive Computing in Engineering (2020) Vol. 1, pp. 78-97
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Technological advancements in cancer diagnostics: Improvements and limitations
Akhil Pulumati, Anika Pulumati, Bilikere S. Dwarakanath, et al.
Cancer Reports (2023) Vol. 6, Iss. 2
Open Access | Times Cited: 148
A review on advancements in feature selection and feature extraction for high-dimensional NGS data analysis
Kasmika Borah, Himanish Shekhar Das, Soumita Seth, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 5
Closed Access | Times Cited: 8
Enhancing classification with hybrid feature selection: A multi-objective genetic algorithm for high-dimensional data
Jonas da Silveira Bohrer, Márcio Dorn
Expert Systems with Applications (2024) Vol. 255, pp. 124518-124518
Closed Access | Times Cited: 6
Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success
Matheus Correia Casotti, Débora Dummer Meira, Aléxia Stefani Siqueira Zetum, et al.
Genes (2023) Vol. 14, Iss. 4, pp. 801-801
Open Access | Times Cited: 15
A new filter-based gene selection approach in the DNA microarray domain
Tayeb Ouaderhman, Hasna Chamlal, Fatima Zahra Janane
Expert Systems with Applications (2023) Vol. 240, pp. 122504-122504
Closed Access | Times Cited: 13
Point-of-care testing for early-stage liver cancer diagnosis and personalized medicine: biomarkers, current technologies and perspectives
Mengxiang Liu, Yanrong Wen
Heliyon (2024) Vol. 10, Iss. 19, pp. e38444-e38444
Open Access | Times Cited: 4
Learning from High-Dimensional and Class-Imbalanced Datasets Using Random Forests
Barbara Pes
Information (2021) Vol. 12, Iss. 8, pp. 286-286
Open Access | Times Cited: 30
A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data
Halah AlMazrua, Hala Alshamlan
IEEE Access (2022) Vol. 10, pp. 71427-71449
Open Access | Times Cited: 19
A comprehensive survey on computational learning methods for analysis of gene expression data
Nikita Bhandari, Rahee Walambe, Ketan Kotecha, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 17
Supervised feature selection on gene expression microarray datasets using manifold learning
Masoumeh Zare, Najmeh Azizizadeh, Ali Kazemipour
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 237, pp. 104828-104828
Closed Access | Times Cited: 9
MS-ACGAN: A modified auxiliary classifier generative adversarial network for schizophrenia's samples augmentation based on microarray gene expression data
Bahareh Jahanyar, Hamid Tabatabaee, Alireza Rowhanimanesh
Computers in Biology and Medicine (2023) Vol. 162, pp. 107024-107024
Closed Access | Times Cited: 9
Evolution of the random subset feature selection algorithm for classification problem
Hamed SabbaghGol, Hamid Saadatfar, Mahdi Khazaiepoor
Knowledge-Based Systems (2023) Vol. 285, pp. 111352-111352
Closed Access | Times Cited: 9
Hazard identification of endocrine-disrupting carcinogens (EDCs) in relation to cancers in humans
Neha Sharma, Vinay Kumar, S. Vimal, et al.
Environmental Toxicology and Pharmacology (2024) Vol. 109, pp. 104480-104480
Closed Access | Times Cited: 3
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study
Barbara Pes, Giuseppina Lai
PeerJ Computer Science (2021) Vol. 7, pp. e832-e832
Open Access | Times Cited: 21
Machine Learning-Based Approach for Early Diagnosis of Breast Cancer Using Biomarkers and Gene Expression Profiles
Ankita Sahu, Sahar Qazi, Khalid Raza, et al.
Studies in computational intelligence (2022), pp. 285-306
Closed Access | Times Cited: 15
An ensemble framework for microarray data classification based on feature subspace partitioning
Vahid Nosrati, Mohsen Rahmani
Computers in Biology and Medicine (2022) Vol. 148, pp. 105820-105820
Closed Access | Times Cited: 14
A Feature Selection Method Using Conditional Correlation Dispersion and Redundancy Analysis
Li Zhang
Neural Processing Letters (2023) Vol. 55, Iss. 6, pp. 7175-7209
Closed Access | Times Cited: 6
Molecular approaches in cancer
Ejaj Ahmad, Asgar Ali, Nimisha, et al.
Clinica Chimica Acta (2022) Vol. 537, pp. 60-73
Closed Access | Times Cited: 10
Label consistency-based deep semisupervised NMF for tumor recognition
Lijun Yang, Lulu Yan, Xiaoge Wei, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105511-105511
Closed Access | Times Cited: 9
Analysis of molecular phenotypes in normal mucosa and colorectal cancer in embryonic anatomical parts of the colon
С. В. Гончаров, K. V. Bozhenko, М В Захаренко, et al.
Almanac of Clinical Medicine (2024) Vol. 51, Iss. 8, pp. 441-455
Open Access | Times Cited: 1
Classification of Breast Cancer Subtypes using Microarray RNA Expression Data
Muhammad Shazwan Suhiman, Sayang Mohd Deni, Ahmad Zia Ul-Saufie Mohamad Japeri, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 46, Iss. 1, pp. 75-85
Open Access | Times Cited: 1
Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture
Akash Kishore, Lokeswari Venkataramana, D. Venkata Vara Prasad, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 11, pp. 2895-2919
Closed Access | Times Cited: 4
Machine learning-based sensitivity of steel frames with highly imbalanced and high-dimensional data
Hyeyoung Koh, Hannah B. Blum
Engineering Structures (2022) Vol. 259, pp. 114126-114126
Open Access | Times Cited: 7
Robust microarray data feature selection using a correntropy based distance metric learning approach
Venus Vahabzadeh, Mohammad Hossein Moattar
Computers in Biology and Medicine (2023) Vol. 161, pp. 107056-107056
Closed Access | Times Cited: 3
Enhancing Feature Selection Optimization for COVID-19 Microarray Data
Gayani Krishanthi, Harshanie Lakshika Jayetileke, Jinran Wu, et al.
COVID (2023) Vol. 3, Iss. 9, pp. 1336-1355
Open Access | Times Cited: 3
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