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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 Ranking Importance from Multimodal Radiomic Texture Features using Machine Learning Paradigm: A Biomarker to Predict the Lung Cancer
Seong‐O Shim, Monagi H. Alkinani, Lal Hussain, et al.
Big Data Research (2022) Vol. 29, pp. 100331-100331
Closed Access | Times Cited: 11

Showing 11 citing articles:

Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 32
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 8
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 20
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
Optimizing Bi-LSTM networks for improved lung cancer detection accuracy
Su Diao, Yajie Wan, Danyi Huang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0316136-e0316136
Open Access
A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm
Jing Yang, Touseef Sadiq, Jiale Xiong, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 3
Topological network and fuzzy AHP modeling framework for the suitability analysis of evacuation shelters: A case study in Japan
C. Y. Teresa Lam, Ana Maria Cruz
International Journal of Disaster Risk Reduction (2024) Vol. 111, pp. 104696-104696
Closed Access | Times Cited: 3
Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI
Lal Hussain, Areej Malibari, Jaber S. Alzahrani, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
An Automated Lion-Butterfly Optimization (LBO) based Stacking Ensemble Learning Classification (SELC) Model for Lung Cancer Detection
Swapna Rani S, V. Suganya, Selami Selvı, et al.
Iraqi Journal for Computer Science and Mathematics (2023), pp. 87-100
Open Access | Times Cited: 6
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Hari Mohan, Joon Yoo, Syed Atif Moqurrab, et al.
Measurement (2023) Vol. 225, pp. 114059-114059
Closed Access | Times Cited: 5
A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction
Hari Mohan, Joon Yoo, Abdul Razaque
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3555-3580
Closed Access | Times Cited: 1
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