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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:

A survey of neural network-based cancer prediction models from microarray data
Maisa Daoud, Michael Mayo
Artificial Intelligence in Medicine (2019) Vol. 97, pp. 204-214
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

Deep learning approach for microarray cancer data classification
Hema Shekar Basavegowda, Guesh Dagnew
CAAI Transactions on Intelligence Technology (2019) Vol. 5, Iss. 1, pp. 22-33
Closed Access | Times Cited: 175
Feature selection methods on gene expression microarray data for cancer classification: A systematic review
Esraa Alhenawi, Rizik Al-Sayyed, Amjad Hudaib, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105051-105051
Closed Access | Times Cited: 135
Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering
Sami Ben Jabeur, Nicolae Stef, Pedro Carmona
Computational Economics (2022) Vol. 61, Iss. 2, pp. 715-741
Closed Access | Times Cited: 108
En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis
Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, et al.
IEEE Access (2023) Vol. 11, pp. 113526-113542
Open Access | Times Cited: 62
Time-to-Fault Prediction Framework for Automated Manufacturing in Humanoid Robotics Using Deep Learning
Aida Ali, Hossam Kamal
Technologies (2025) Vol. 13, Iss. 2, pp. 42-42
Open Access | Times Cited: 2
Handling imbalanced medical image data: A deep-learning-based one-class classification approach
Long Gao, Lei Zhang, Chang Liu, et al.
Artificial Intelligence in Medicine (2020) Vol. 108, pp. 101935-101935
Open Access | Times Cited: 110
Prediction of Motor Failure Time Using An Artificial Neural Network
Gustavo Scalabrini Sampaio, Arnaldo Rabello de Aguiar Vallim Filho, Leilton Santos da Silva, et al.
Sensors (2019) Vol. 19, Iss. 19, pp. 4342-4342
Open Access | Times Cited: 83
Deep learning techniques for cancer classification using microarray gene expression data
Surbhi Gupta, Manoj Gupta, Mohammad Shabaz, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 59
A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection
Rajul Mahto, Saboor Uddin Ahmed, Rizwan Ur Rahman, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 27
Knowledge Discovery in Predicting Martensite Start Temperature of Medium-Carbon Steels by Artificial Neural Networks
Xiaosong Wang, Anoop Kumar Maurya, Muhammad Ishtiaq, et al.
Algorithms (2025) Vol. 18, Iss. 2, pp. 116-116
Open Access | Times Cited: 1
AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis
Esther Ugo Alum
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Fatigue Detection Using Artificial Intelligence Framework
Vidhi Parekh, Darshan Shah, Manan Shah
Augmented Human Research (2019) Vol. 5, Iss. 1
Closed Access | Times Cited: 76
Thigh fracture detection using deep learning method based on new dilated convolutional feature pyramid network
Bin Guan, Jinkun Yao, Guoshan Zhang, et al.
Pattern Recognition Letters (2019) Vol. 125, pp. 521-526
Closed Access | Times Cited: 61
High-dimensional microarray dataset classification using an improved adam optimizer (iAdam)
Utkarsh Mahadeo Khaire, R. Dhanalakshmi
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 11, Iss. 11, pp. 5187-5204
Closed Access | Times Cited: 51
Research on Medical Problems Based on Mathematical Models
Yikai Liu, Ruozheng Wu, Aimin Yang
Mathematics (2023) Vol. 11, Iss. 13, pp. 2842-2842
Open Access | Times Cited: 23
Machine learning for the advancement of genome-scale metabolic modeling
Pritam Kundu, Satyajit Beura, Suman Mondal, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108400-108400
Closed Access | Times Cited: 7
Prediction Lung Cancer– In Machine Learning Perspective
Nikita Banerjee, Subhalaxmi Das
2020 International Conference on Computer Science, Engineering and Applications (ICCSEA) (2020), pp. 1-5
Closed Access | Times Cited: 45
Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey
Linjing Liu, Xingjian Chen, Olutomilayo Olayemi Petinrin, et al.
Life (2021) Vol. 11, Iss. 7, pp. 638-638
Open Access | Times Cited: 41
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
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review
Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1903-e1903
Open Access | Times Cited: 5
Real-time neural network based predictor for cov19 virus spread
Michał Wieczorek, Jakub Siłka, Dawid Połap, et al.
PLoS ONE (2020) Vol. 15, Iss. 12, pp. e0243189-e0243189
Open Access | Times Cited: 39
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
Laura Macías‐García, M. Martínez-Ballesteros, José María Luna-Romera, et al.
Artificial Intelligence in Medicine (2020) Vol. 110, pp. 101976-101976
Open Access | Times Cited: 36
Biological interpretation of deep neural network for phenotype prediction based on gene expression
Blaise Hanczar, Farida Zehraoui, Tina Issa, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 33
Deep Learning for Brain Tumor Segmentation using Magnetic Resonance Images
Surbhi Gupta, Manoj Gupta
(2021), pp. 1-6
Closed Access | Times Cited: 29
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
Zixuan Wang, Yi Zhou, Tatsuya Takagi, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 12
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