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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:

Selection and classification of gene expression in autism disorder: Use of a combination of statistical filters and a GBPSO-SVM algorithm
Shilan S. Hameed, Rohayanti Hassan, Fahmi Fariq Muhammad
PLoS ONE (2017) Vol. 12, Iss. 11, pp. e0187371-e0187371
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security
Azana Hafizah Mohd Aman, Wan Haslina Hassan, Shilan Sameen, et al.
Journal of Network and Computer Applications (2020) Vol. 174, pp. 102886-102886
Open Access | Times Cited: 205
A Review of Machine Learning Methods of Feature Selection and Classification for Autism Spectrum Disorder
Md. Mokhlesur Rahman, Opeyemi Lateef Usman, Ravie Chandren Muniyandi, et al.
Brain Sciences (2020) Vol. 10, Iss. 12, pp. 949-949
Open Access | Times Cited: 123
A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches
Shilan S. Hameed, Wan Haslina Hassan, Liza Abdul Latiff, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e414-e414
Open Access | Times Cited: 86
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: 34
A water quality assessment method based on an improved grey relational analysis and particle swarm optimization multi-classification support vector machine
Rongli Gai, Zhibin Guo
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 24
Feature selection using particle swarm optimization-based logistic regression model
Omar Saber Qasim, Zakariya Yahya Algamal
Chemometrics and Intelligent Laboratory Systems (2018) Vol. 182, pp. 41-46
Closed Access | Times Cited: 76
A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics
Niam Abdulmunim Al-Thanoon, Omar Saber Qasim, Zakariya Yahya Algamal
Chemometrics and Intelligent Laboratory Systems (2018) Vol. 184, pp. 142-152
Closed Access | Times Cited: 65
Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification
Niam Abdulmunim Al-Thanoon, Omar Saber Qasim, Zakariya Yahya Algamal
Computers in Biology and Medicine (2018) Vol. 103, pp. 262-268
Closed Access | Times Cited: 55
A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer datasets
Shilan S. Hameed, Wan Haslina Hassan, Liza Abdul Latiff, et al.
Soft Computing (2021) Vol. 25, Iss. 13, pp. 8683-8701
Closed Access | Times Cited: 27
Gene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi Classifiers
Shilan S. Hameed, Fahmi Fariq Muhammad, Rohayanti Hassan, et al.
Journal of Computer Science (2018) Vol. 14, Iss. 6, pp. 868-880
Open Access | Times Cited: 25
Predicting autism spectrum disorder from associative genetic markers of phenotypic groups using machine learning
Karthik Sekaran, M. Sudha
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 3, pp. 3257-3270
Closed Access | Times Cited: 21
Biomarker prediction in autism spectrum disorder using a network-based approach
Maryam Rastegari, Najmeh Salehi, Fatemeh Zare‐Mirakabad
BMC Medical Genomics (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 7
Support vector machine algorithm for artificial intelligence optimization
Xian Tan, Fasheng Yu, Xifeng Zhao
Cluster Computing (2018) Vol. 22, Iss. S6, pp. 15015-15021
Closed Access | Times Cited: 23
Ranked Features Selection with MSBRG Algorithm and Rules Classifiers for Cervical Cancer
Mohammad Subhi Al-Batah
International Journal of Online and Biomedical Engineering (iJOE) (2019) Vol. 15, Iss. 12, pp. 4-18
Open Access | Times Cited: 18
Efficient Diagnosis of Autism with Optimized Machine Learning Models: An Experimental Analysis on Genetic and Personal Characteristic Datasets
Maraheb Alsuliman, Heyam H. Al-Baity
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3812-3812
Open Access | Times Cited: 10
Classification of Autism Gene Expression Data Using Deep Learning
Noura Samy, Radwa Fathalla, Nahla A. Belal, et al.
Lecture notes on data engineering and communications technologies (2019), pp. 583-596
Closed Access | Times Cited: 8
Hybrid Feature Selection and Ensemble Learning Methods for Gene Selection and Cancer Classification
Sultan Noman Qasem, Faisal Saeed
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 2
Open Access | Times Cited: 7
Improving nature-inspired algorithms for feature selection
Niam Abdulmunim Al-Thanoon, Omar Saber Qasim, Zakariya Yahya Algamal
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 6, pp. 3025-3035
Closed Access | Times Cited: 7
An Efficient Fog-Based Attack Detection Using Ensemble of MOA-WMA for Internet of Medical Things
Shilan S. Hameed, Wan Haslina Hassan, Liza Abdul Latiff
Lecture notes on data engineering and communications technologies (2021), pp. 774-785
Closed Access | Times Cited: 7
HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
Shilan S. Hameed, Rohayanti Hassan, Wan Haslina Hassan, et al.
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0246039-e0246039
Open Access | Times Cited: 6
Machine learning in autism spectrum disorder diagnosis and treatment: techniques and applications
Arjun Singh, Zoya Farooqui, Branden Sattler, et al.
Elsevier eBooks (2023), pp. 173-193
Closed Access | Times Cited: 2
An Overview of Bioinformatics Methods for Analyzing Autism Spectrum Disorders
Shogo Nakashima, Jose C. Nacher, Jiangning Song, et al.
Current Pharmaceutical Design (2019) Vol. 25, Iss. 43, pp. 4552-4559
Closed Access | Times Cited: 5
An Intelligent Hybrid Ensemble Gene Selection Model for Autism Using DNN
G. Anurekha, P. Geetha
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3049-3064
Open Access | Times Cited: 3
Improving Meta-Heuristic Algorithms for Feature Selection in Multiclass Classification
Niam Abdulmunim Al-Thanoon, Zakariya Yahya Algamal, Omar Saber Qasim
Lecture notes in networks and systems (2024), pp. 592-606
Closed Access
Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression data
M. N. Haque, Sadia Sharmin, Amin Ahsan Ali, et al.
PLoS ONE (2021) Vol. 16, Iss. 10, pp. e0230164-e0230164
Open Access | Times Cited: 4
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