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:

Identidication of novel biomarkers in non-small cell lung cancer using machine learning
Fangwei Wang, Qisheng Su, Chaoqian Li
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Advances in Genomic Data and Biomarkers: Revolutionizing NSCLC Diagnosis and Treatment
Juan Carlos Restrepo, Diana Dueñas, Zuray Corredor, et al.
Cancers (2023) Vol. 15, Iss. 13, pp. 3474-3474
Open Access | Times Cited: 35

Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case
Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Differentially Expressed Genes Involved in Primary Resistance to Immunotherapy in Patients with Advanced-Stage Pulmonary Cancer
Luís Miguel Chinchilla-Tábora, Juan Carlos Montero, Luís A. Corchete, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 4, pp. 2048-2048
Open Access | Times Cited: 3

Identification of common biomarkers affecting patient survival in cancers
Pratik Singh, Mansi Patel, Doulat Bhowmik, et al.
World Academy of Sciences Journal (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 2

Cancer Genomics
Marco Antonio Fonseca-Montaño, Sugela Blancas, Luis A. Herrera, et al.
Archives of Medical Research (2022) Vol. 53, Iss. 8, pp. 723-731
Open Access | Times Cited: 10

FHL1 As a Novel Prognostic Biomarker and Correlation with Immune Infiltration Levels in Lung Adenocarcinoma
Jingtao Zhang, Haitao Li, Minghao Guo, et al.
Immunotherapy (2023) Vol. 15, Iss. 4, pp. 235-252
Open Access | Times Cited: 5

Detection of Lung Cancer with Enhanced Feed Forward Backpropagation Artificial Neural Networks
Volkan Çetin, Hacı Hüsnü Yumrukaya, Çiğdem Bakır
(2023)
Open Access | Times Cited: 5

Classification of Long Non-Coding RNAs s Between Early and Late Stage of Liver Cancers From Non-coding RNA Profiles Using Machine-Learning Approach
Songtham Anuntakarun, Jakkrit Khamjerm, Pisit Tangkijvanich, et al.
Bioinformatics and Biology Insights (2024) Vol. 18
Open Access | Times Cited: 1

Transcriptome profiling and metabolic pathway analysis towards reliable biomarker discovery in early-stage lung cancer
Muthu Kumar Thirunavukkarasu, Priyanka Ramesh, K. Ramanathan, et al.
Journal of Applied Genetics (2024)
Closed Access

Establishment of Three Gene Prognostic Markers in Pancreatic Ductal Adenocarcinoma Using Machine Learning Approach
Pragya Pragya, Praveen Kumar Govarthan, Malay Nayak, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 3, pp. 357-365
Closed Access

Image Processing-based Performance Evaluation of KNN and SVM Classifiers for Lung Cancer Diagnosis
B C Kavitha, K B Naveen
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access

Lung Adenocarcinoma Systems Biomarker and Drug Candidates Identified by Machine Learning, Gene Expression Data, and Integrative Bioinformatics Pipeline
Semra Melis Soyer, Pemra Özbek, Ceyda Kasavi
OMICS A Journal of Integrative Biology (2024) Vol. 28, Iss. 8, pp. 408-420
Closed Access

Role of four and a half LIM domain protein 1 in tumors (Review)
Yun Tao, Yaxun Wu, Rong Shen, et al.
Oncology Letters (2024) Vol. 29, Iss. 1
Open Access

Gut metatranscriptomics based de novo assembly reveals microbial signatures predicting immunotherapy outcomes in non-small cell lung cancer
Dávid Dóra, Petèr Király, Csenge Somodi, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access

Usage of Machine Learning and Deep Learning for Lung Cancer Detection
Ishaan Dawar, Sumedha Bhardwaj
Advances in medical technologies and clinical practice book series (2024), pp. 223-252
Closed Access

Detection of Lung Cancer Using SVM Algorithm
M. Sakthivel, M. Lahari, E. Hemanth, et al.
Advanced technologies and societal change (2024), pp. 539-548
Closed Access

Precision Oncology in the Era of Genomics and Artificial Intelligence
Souvik Das, Suparna Mazumder, Neyaz Alam, et al.
(2024) Vol. 1, Iss. 1, pp. 22-30
Closed Access

Identification of Vital Genes for NSCLC Integrating Mutual Information and Synergy
Xiaobo Yang, Zhilong Mi, Qingcai He, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1460-1460
Open Access | Times Cited: 1

Unveiling Potential Targeted Therapeutic Opportunities for Co-Overexpressed Targeting Protein for Xklp2 and Aurora-A Kinase in Lung Adenocarcinoma
Arnab Mukherjee, Preeti Harigovind Yadav, K. S. Mukunthan
Molecular Biotechnology (2023) Vol. 66, Iss. 10, pp. 2792-2803
Open Access | Times Cited: 1

A Novel Meta-Analysis-Based Regularized Orthogonal Matching Pursuit Algorithm to Predict Lung Cancer with Selected Biomarkers
Sai Wang, Bin-Yuan Wang, Haifang Li
Mathematics (2023) Vol. 11, Iss. 19, pp. 4171-4171
Open Access | Times Cited: 1

Machine learning analysis of lung adenocarcinoma and squamous cell carcinoma microbiome datasets reveals biomarkers for early diagnosis
Pragya Kashyap, Kalbhavi Vadhi Raj, Naveen Dutt, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

Roles of tissue-resident immune cells in immunotherapy of non-small cell lung cancer
Rui Tang, Haitao Wang, Mingxi Tang
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 1

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