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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:

Feature selection methods and genomic big data: a systematic review
Khawla Tadist, Saïd Najah, Nikola S. Nikolov, et al.
Journal Of Big Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Review of swarm intelligence-based feature selection methods
Mehrdad Rostami, Kamal Berahmand, Elahe Nasiri, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104210-104210
Open Access | Times Cited: 359
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1339-1371
Closed Access | Times Cited: 161
A novel community detection based genetic algorithm for feature selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 130
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
Fadi Alharbi, Aleksandar Vakanski
Bioengineering (2023) Vol. 10, Iss. 2, pp. 173-173
Open Access | Times Cited: 101
Analysis and comparison of feature selection methods towards performance and stability
Matheus Cezimbra Barbieri, Bruno Iochins Grisci, Márcio Dorn
Expert Systems with Applications (2024) Vol. 249, pp. 123667-123667
Closed Access | Times Cited: 22
Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
Mesut Toğaçar, Burhan Ergen, Zafer Cömert
Measurement (2020) Vol. 158, pp. 107703-107703
Closed Access | Times Cited: 73
A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease
Sarah A. Ebiaredoh-Mienye, Theo G. Swart, Ebenezer Esenogho, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 350-350
Open Access | Times Cited: 58
Binary Approaches of Quantum-Based Avian Navigation Optimizer to Select Effective Features from High-Dimensional Medical Data
Mohammad H. Nadimi-Shahraki, Ali Fatahi, Hoda Zamani, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2770-2770
Open Access | Times Cited: 40
Emerging applications of machine learning in genomic medicine and healthcare
Narjice Chafai, L. Bonizzi, Sara Botti, et al.
Critical Reviews in Clinical Laboratory Sciences (2023) Vol. 61, Iss. 2, pp. 140-163
Closed Access | Times Cited: 30
A review of machine learning models applied to genomic prediction in animal breeding
Narjice Chafai, Ichrak Hayah, Isidore Houaga, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 22
Relationship between feature importance and building characteristics for heating load predictions
Alexander Neubauer, Stefan Brandt, Martin Kriegel
Applied Energy (2024) Vol. 359, pp. 122668-122668
Open Access | Times Cited: 13
A Comprehensive Survey on Feature Selection with Grasshopper Optimization Algorithm
Hanie Alirezapour, N. Mansouri, Behnam Mohammad Hasani Zade
Neural Processing Letters (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 8
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
A novel sensitivity-based method for feature selection
Dayakar L. Naik, Ravi Kiran
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 44
mRMR-PSO: A Hybrid Feature Selection Technique with a Multiobjective Approach for Sign Language Recognition
Sandhya Bansal, Savita Wadhawan, Rajeev K. Goel
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 8, pp. 10365-10380
Closed Access | Times Cited: 36
Tool wear prediction using long short-term memory variants and hybrid feature selection techniques
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, et al.
The International Journal of Advanced Manufacturing Technology (2022) Vol. 121, Iss. 9-10, pp. 6611-6633
Closed Access | Times Cited: 29
An Ensemble Feature Selection Approach for Analysis and Modeling of Transcriptome Data in Alzheimer’s Disease
Petros Paplomatas, Marios G. Krokidis, Panagiotis Vlamos, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2353-2353
Open Access | Times Cited: 21
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
A Systematic Review of Applications of Machine Learning in Cancer Prediction and Diagnosis
Aman Sharma, Rinkle Rani
Archives of Computational Methods in Engineering (2021) Vol. 28, Iss. 7, pp. 4875-4896
Closed Access | Times Cited: 38
Feature Evaluation of Emerging E-Learning Systems Using Machine Learning: An Extensive Survey
Shabnam Mohamed Aslam, Abdul Khader Jilani, Jabeen Sultana, et al.
IEEE Access (2021) Vol. 9, pp. 69573-69587
Open Access | Times Cited: 38
Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier
Micheal Olaolu Arowolo, Marion O. Adebiyi, Ayodele A. Adebiyi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 32
Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics
Elli Valla, Sven Nõmm, Kadri Medijainen, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103551-103551
Closed Access | Times Cited: 25
An overview of recent technological developments in bovine genomics
Navid Ghavi Hossein‐Zadeh
Veterinary and Animal Science (2024) Vol. 25, pp. 100382-100382
Open Access | Times Cited: 4
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
Advanced machine learning framework for enhancing breast cancer diagnostics through transcriptomic profiling
Mohamed J. Saadh, Hanan Hassan Ahmed, Radhwan Abdul Kareem, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
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