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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:

COVID-RDNet: A novel coronavirus pneumonia classification model using the mixed dataset by CT and X-rays images
Lingling Fang, Xin Wang
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 977-994
Open Access | Times Cited: 15

Showing 15 citing articles:

Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Haval I. Hussein, Abdulhakeem O. Mohammed, Masoud Muhammed Hassan, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119900-119900
Open Access | Times Cited: 45
A novel lightweight deep learning model based on SqueezeNet architecture for viral lung disease classification in X-ray and CT images
Abhishek Agnihotri, Narendra Kohli
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 21
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network
Gerosh Shibu George, Pratyush Raj Mishra, Panav Sinha, et al.
Journal of Applied Biomedicine (2022) Vol. 43, Iss. 1, pp. 1-16
Open Access | Times Cited: 42
Inspired by “Focus, Fusion, Collaboration”: A multi-level ensemble network for automatic pneumonia diagnosis from full slice CT images
Linna Zhao, Jianqiang Li, Qing Zhao, et al.
Expert Systems with Applications (2025), pp. 126806-126806
Closed Access | Times Cited: 1
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Robiul Islam, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 528-550
Open Access | Times Cited: 19
VisCapsNet: Multimodality-Based Lung Disease Classification Using Deep Features of Integrated Vision Transformer with Capsule Network
Gautami Shingan, Priya Ranjan
Learning and analytics in intelligent systems (2025), pp. 101-110
Closed Access
Exploring Deep Learning-Based Multi-modality Fusion Approaches in Classification of Lung Diseases: A Review
Gautami Shingan, Priya Ranjan
Learning and analytics in intelligent systems (2025), pp. 91-100
Closed Access
Hybrid Diagnostic Model for Improved COVID-19 Detection in Lung Radiographs Using Deep and Traditional Features
Imran Arshad Choudhry, Adnan N. Qureshi, Khursheed Aurangzeb, et al.
Biomimetics (2023) Vol. 8, Iss. 5, pp. 406-406
Open Access | Times Cited: 5
CKD Prediction using Mixed Dataset Concept and Deep Learning: A Combined Approach for Accurate Diagnosis
Subashini. N.J, K. Venkatesh
(2023), pp. 1-6
Closed Access | Times Cited: 2
GAN-Enhanced Medical Image Synthesis: Augmenting CXR Data for Disease Diagnosis and Improving Deep Learning Performance
Et al. Prakash Patil
Deleted Journal (2024) Vol. 19, Iss. 3, pp. 53-61
Open Access
Application of advanced bioimaging technologies in viral infections
Yu Sun, Can Cao, Yilin Peng, et al.
Materials Today Physics (2024) Vol. 46, pp. 101488-101488
Open Access
Modeling and control of COVID-19 disease using deep reinforcement learning method
Nazanin Ghazizadeh, Sajjad Taghvaei, Seyyed Arash Haghpanah
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3653-3670
Closed Access
Deep Learning-Based Diagnosis of Pneumonia Using Convolutional Neural Networks
Ayesha Karunaratna Mudiyanselage
Deleted Journal (2024) Vol. 3, Iss. 3, pp. 14-21
Closed Access
A habituation memristor model for lung cancer screening application
Xing Li, Zhe Feng, Xiuquan Fang, et al.
Physica Scripta (2023) Vol. 98, Iss. 9, pp. 095013-095013
Closed Access | Times Cited: 1
A novel hybrid heuristic adopted ensemble of deep learning models for COVID-19 detection framework using CT and X-Ray images
C. Mary Shiba, M. Navaneethakrishnan, V Kalaipriya, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023), pp. 1-22
Closed Access
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