Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine
Chuanze Kang, Yanhao Huo, Lihui Xin, et al.
Journal of Theoretical Biology (2018) Vol. 463, pp. 77-91
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

A review of feature selection methods in medical applications
Beatriz Remeseiro, Verónica Bolón‐Canedo
Computers in Biology and Medicine (2019) Vol. 112, pp. 103375-103375
Closed Access | Times Cited: 655
Stability of feature selection algorithm: A review
Utkarsh Mahadeo Khaire, R. Dhanalakshmi
Journal of King Saud University - Computer and Information Sciences (2019) Vol. 34, Iss. 4, pp. 1060-1073
Open Access | Times Cited: 440
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
Cheng Chen, Qingmei Zhang, Qin Ma, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 191, pp. 54-64
Open Access | Times Cited: 227
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
Networking Architecture and Key Supporting Technologies for Human Digital Twin in Personalized Healthcare: A Comprehensive Survey
Jiayuan Chen, Changyan Yi, Samuel D. Okegbile, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 1, pp. 706-746
Open Access | Times Cited: 54
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
Lin Sun, Lanying Wang, Weiping Ding, et al.
Knowledge-Based Systems (2019) Vol. 192, pp. 105373-105373
Closed Access | Times Cited: 117
Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network
Serhat Kılıçarslan, Kemal Adem, Mete Çelik
Medical Hypotheses (2020) Vol. 137, pp. 109577-109577
Closed Access | Times Cited: 100
A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification
Moumita Mandal, Pawan Kumar Singh, Muhammad Fazal Ijaz, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5571-5571
Open Access | Times Cited: 79
Use of radiomics based on 18F-FDG PET/CT and machine learning methods to aid clinical decision-making in the classification of solitary pulmonary lesions: an innovative approach
Yi Zhou, Xuelei Ma, Ting Zhang, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 9, pp. 2904-2913
Closed Access | Times Cited: 60
Feature selection techniques in the context of big data: taxonomy and analysis
Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif
Applied Intelligence (2022) Vol. 52, Iss. 12, pp. 13568-13613
Closed Access | Times Cited: 57
Gene reduction and machine learning algorithms for cancer classification based on microarray gene expression data: A comprehensive review
Sarah Osama, Hassan Shaban, Abdelmgeid A. Ali
Expert Systems with Applications (2022) Vol. 213, pp. 118946-118946
Closed Access | Times Cited: 52
Diagnosis of childhood febrile illness using a multi-class blood RNA molecular signature
Dominic Habgood-Coote, Clare Wilson, Chisato Shimizu, et al.
Med (2023) Vol. 4, Iss. 9, pp. 635-654.e5
Open Access | Times Cited: 23
An Efficient and Privacy-Preserving Outsourced Support Vector Machine Training for Internet of Medical Things
Jing Wang, Libing Wu, Huaqun Wang, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 1, pp. 458-473
Closed Access | Times Cited: 62
Network perturbation analysis in human bronchial epithelial cells following SARS-CoV2 infection
Giuseppe Nunnari, Cristina Sanfilippo, Paola Castrogiovanni, et al.
Experimental Cell Research (2020) Vol. 395, Iss. 2, pp. 112204-112204
Open Access | Times Cited: 58
SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso
Yanhao Huo, Lihui Xin, Chuanze Kang, et al.
Journal of Theoretical Biology (2019) Vol. 486, pp. 110098-110098
Closed Access | Times Cited: 56
Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma
Chengzhang Li, Jiucheng Xu
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 55
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Xue Wang, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106921-106921
Open Access | Times Cited: 51
A deep fuzzy model for diagnosis of COVID-19 from CT images
Liping Song, Xinyu Liu, Shuqi Chen, et al.
Applied Soft Computing (2022) Vol. 122, pp. 108883-108883
Open Access | Times Cited: 35
Lactate Induces the Expressions of MCT1 and HCAR1 to Promote Tumor Growth and Progression in Glioblastoma
Lucia Longhitano, Nunzio Vicario, Daniele Tibullo, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 33
Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning
Li Zhang, Mingyu Li, Chengcheng Wang, et al.
Digital Health (2025) Vol. 11
Open Access
Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions
Gundala Pallavi, Rohit Kumar
Frontiers in Computer Science (2025) Vol. 7
Open Access
Improved multi-layer hybrid adaptive particle swarm optimization based artificial bee colony for optimizing feature selection and classification of microarray data
Serhat Kılıçarslan, Emrah Dönmez
Multimedia Tools and Applications (2023) Vol. 83, Iss. 26, pp. 67259-67281
Closed Access | Times Cited: 12
MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics
Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, et al.
IEEE Access (2024) Vol. 12, pp. 21840-21867
Open Access | Times Cited: 4
Exploring SERPINA3 as a neuroinflammatory modulator in Alzheimer’s disease with sex and regional brain variations
Cristina Sanfilippo, Paola Castrogiovanni, Rosa Imbesi, et al.
Metabolic Brain Disease (2025) Vol. 40, Iss. 1
Closed Access
A Multi-Objective Optimization Algorithm for Gene Selection and Classification in Cancer Study
Alabi Waheed Banjoko, Waheed Babatunde Yahya, Oyebayo Ridwan Olaniran
Applied Soft Computing (2025), pp. 112911-112911
Closed Access
Page 1 - Next Page

Scroll to top