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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:

Optimized gene selection and classification of cancer from microarray gene expression data using deep learning
Shamveel Hussain Shah, Muhammad Iqbal, Iftikhar Ahmad, et al.
Neural Computing and Applications (2020)
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

An Internet-of-Medical-Things-Enabled Edge Computing Framework for Tackling COVID-19
Md. Abdur Rahman, M. Shamim Hossain
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 21, pp. 15847-15854
Open Access | Times Cited: 138
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Mamoona Humayun, Muhammad Ibrahim Khalil, Saleh Naif Almuayqil, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 403-403
Open Access | Times Cited: 52
Design of Bayesian stochastic networks for numerical treatment of Williamson fluid stretching flow model with mixed convected heat generation
Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-24
Closed Access | Times Cited: 19
Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets
Nashat Alrefai, Othman Ibrahim
Neural Computing and Applications (2022) Vol. 34, Iss. 16, pp. 13513-13528
Closed Access | Times Cited: 48
Hybrid Filter and Genetic Algorithm-Based Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data
Waleed Ali, Faisal Saeed
Processes (2023) Vol. 11, Iss. 2, pp. 562-562
Open Access | Times Cited: 36
GeneViT: Gene Vision Transformer with Improved DeepInsight for cancer classification
Madhuri Gokhale, Sraban Kumar Mohanty, Aparajita Ojha
Computers in Biology and Medicine (2023) Vol. 155, pp. 106643-106643
Closed Access | Times Cited: 31
Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique
B. Lalithadevi, S. Krishnaveni
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 12
A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach
Mei Sze Tan, Phaik‐Leng Cheah, Ai‐Vyrn Chin, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104947-104947
Closed Access | Times Cited: 49
Bio-Inspired Machine Learning Approach to Type 2 Diabetes Detection
Marwan Al-Tawil, Basel A. Mahafzah, Arar Al Tawil, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 764-764
Open Access | Times Cited: 21
DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes
Anwar A. Khan, Boreom Lee
Expert Systems with Applications (2023) Vol. 226, pp. 120047-120047
Open Access | Times Cited: 19
Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression
Abdulrhman M. Alshareef, Raed Alsini, Mohammed Alsieni, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 23
Gene selection of microarray data using Heatmap Analysis and Graph Neural Network
Soumen Kumar Pati, Ayan Banerjee, Sweta Manna
Applied Soft Computing (2023) Vol. 135, pp. 110034-110034
Closed Access | Times Cited: 14
Recognition of cancer mediating biomarkers using rough approximations enabled intuitionistic fuzzy soft sets based similarity measure
Swarup Kr Ghosh, Anupam Ghosh, Siddhartha Bhattacharyya
Applied Soft Computing (2022) Vol. 124, pp. 109052-109052
Closed Access | Times Cited: 20
A stacked autoencoder based gene selection and cancer classification framework
Madhuri Gokhale, Sraban Kumar Mohanty, Aparajita Ojha
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103999-103999
Closed Access | Times Cited: 19
Self-regularized Lasso for selection of most informative features in microarray cancer classification
Mehrdad Vatankhah, Mohammadreza Momenzadeh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 5955-5970
Closed Access | Times Cited: 11
Optimal Features Selection in the High Dimensional Data based on Robust Technique: Application to Different Health Database
Ibrar Hussain, Moiz Qureshi, Muhammad Ismail, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e37241-e37241
Open Access | Times Cited: 4
Gene selection and liver classification using machine learning
Sachinkumar Anandpal Goswami, Kashyap C. Patel, Saurabh Dave
Elsevier eBooks (2025), pp. 135-143
Closed Access
Transforming disease classification: leveraging machine learning for Gene selection
Sandeep Kumar Jain, Pritesh Jain, Manoj Sindhwani
Elsevier eBooks (2025), pp. 61-64
Closed Access
Reduced Kernel Principal Component Analysis Approach for Microarray Spot Classification
C. K. Roopa, M. P. Priya, B. S. Harish
Communications in computer and information science (2025), pp. 229-243
Closed Access
Neural Networks Approach for Liver Cancer Classification
Vijaya Lakshmi Adluri, Mohan Aditya Dondapati, Maadesh Darisi, et al.
Communications in computer and information science (2025), pp. 90-98
Closed Access
Deep learning approaches for high dimension cancer microarray data feature prediction: A review
Debasish Swapnesh Kumar Nayak, Subhashree Mohapatra, David Al-Dabass, et al.
Elsevier eBooks (2023), pp. 13-41
Closed Access | Times Cited: 10
Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data
Rabea Khatun, Maksuda Akter, Md. Manowarul Islam, et al.
Genes (2023) Vol. 14, Iss. 9, pp. 1802-1802
Open Access | Times Cited: 10
Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift
M S Karthika, Harikumar Rajaguru, Ajin R Nair
Bioengineering (2023) Vol. 10, Iss. 8, pp. 933-933
Open Access | Times Cited: 7
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP
Fei Han, Shaojun Zhu, Qing-Hua Ling, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 19, pp. 16325-16339
Closed Access | Times Cited: 12
Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning
Rassanee Bissanum, Sitthichok Chaichulee, Rawikant Kamolphiwong, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 881-881
Open Access | Times Cited: 15
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