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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:

Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study
S. Vineth Ligi, Soumya Snigdha Kundu, R. Kumar, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-25
Open Access | Times Cited: 12

Showing 12 citing articles:

PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer
Tianmu Wang, Zhenguo Nie, Ruijing Wang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1395-1408
Open Access | Times Cited: 37
Detection of post-COVID-19-related pulmonary diseases in X-ray images using Vision Transformer-based neural network
Anzhelika Mezina, Radim Bürget
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105380-105380
Closed Access | Times Cited: 18
A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images
Saeed Alahmari, Baderaldeen Altazi, Jisoo Hwang, et al.
IEEE Access (2022) Vol. 10, pp. 100763-100785
Closed Access | Times Cited: 25
A review on lung disease recognition by acoustic signal analysis with deep learning networks
Alyaa Hamel Sfayyih, Nasri Sulaiman, Ahmad H. Sabry
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 15
LungNet-ViT: Efficient lung disease classification using a multistage vision transformer model from chest radiographs
V. Padmavathi, G. Kavitha
Journal of X-Ray Science and Technology (2025)
Closed Access
Deep Learning Algorithms for Automatic COVID-19 Detection on Chest X-Ray Images
Sergio Cannata, Annunziata Paviglianiti, Eros Pasero, et al.
IEEE Access (2022) Vol. 10, pp. 119905-119913
Open Access | Times Cited: 12
X-Ray Image-Based Real-Time COVID-19 Diagnosis Using Deep Neural Networks (CXR-DNNs)
Ali Yousuf Khan, Miguel-Ángel Luque-Nieto, Muhammad Imran Saleem, et al.
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 328-328
Open Access
A Comparative Study on Image Segmentation Models in COVID-19 Diagnosis
Sheng Xu, Shuwen Chen, Mike Y. Chen
Mechanisms and machine science (2024), pp. 231-244
Closed Access
Classification and Segmentation of COVID-19 from Chest CT Image Using Deep Learning
Prabhakar Singh, Shashidhar R. Joshi
The Review of Contemporary Scientific and Academic Studies (2023) Vol. 3, Iss. 12
Open Access | Times Cited: 1
Classification of COVID-19 and non-COVID-19 lung computed tomography images using machine learning
Khin Wee Lai, Cai Yee Chang, Wei Kit Loo
Elsevier eBooks (2023), pp. 269-292
Closed Access
COVID-19 Detection from Pulmonary CT Images using Neural Networks based on Dropout-Driven Hidden Layers
S. Vineth Ligi, R. Kumar, Samiappan Dhanalakshmi
(2023), pp. 310-316
Closed Access
Covid-19 Readmission Prediction using Different Feature Selection Techniques and Machine Learning Models
Wei Kit Loo, Anwar Suhaimi, Khairunnisa Hasikin‬, et al.
(2023), pp. 255-258
Closed Access
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