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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 CT-net: A deep learning framework for COVID-19 prognosis using CT images
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Journal of Interdisciplinary Mathematics (2021) Vol. 24, Iss. 2, pp. 327-352
Closed Access | Times Cited: 24

Showing 24 citing articles:

Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110511-110511
Open Access | Times Cited: 44
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
Arash Heidari, Shiva Toumaj, Nima Jafari Navimipour, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105461-105461
Open Access | Times Cited: 55
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans
Hammam Alshazly, Christoph Linse, Mohamed Abdalla, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e655-e655
Open Access | Times Cited: 48
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
Omneya Attallah
Digital Health (2022) Vol. 8, pp. 205520762210925-205520762210925
Open Access | Times Cited: 36
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices
Omneya Attallah, Ahmed Samir
Applied Soft Computing (2022) Vol. 128, pp. 109401-109401
Open Access | Times Cited: 36
A Comprehensive Review of Machine Learning Used to Combat COVID-19
Rahul Gomes, Connor Kamrowski, Jordan Langlois, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1853-1853
Open Access | Times Cited: 26
Analysis of lung scan imaging using deep multi‐task learning structure for Covid‐19 disease
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, et al.
IET Image Processing (2023) Vol. 17, Iss. 5, pp. 1534-1545
Closed Access | Times Cited: 10
Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data
Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, et al.
Neurocomputing (2021) Vol. 457, pp. 40-66
Open Access | Times Cited: 21
Deep learning‐based COVID‐19 diagnosis using CT scans with laboratory and physiological parameters
Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan
IET Image Processing (2023) Vol. 17, Iss. 11, pp. 3127-3142
Open Access | Times Cited: 4
Construction of heterogeneous medical knowledge graph from electronic health records
R. Mythili, N. Parthiban, V. Kavitha
Journal of Discrete Mathematical Sciences and Cryptography (2022) Vol. 25, Iss. 4, pp. 921-930
Closed Access | Times Cited: 6
Hybridization of particle swarm optimization algorithm with neural network for COVID‐19 using computerized tomography scan and clinical parameters
Humam Adnan Sameer, Sadik Kamel Gharghan, Ammar Hussein Mutlag
The Journal of Engineering (2023) Vol. 2023, Iss. 2
Open Access | Times Cited: 3
RESEARCH AND APPLICATION ADVANCES OF ARTIFICIAL INTELLIGENCE IN DIAGNOSIS AND EPIDEMIC PREDICTION OF COVID-19
Jinping Liu, Juanjuan Wu, Subo Gong, et al.
Fractals (2023) Vol. 31, Iss. 06
Closed Access | Times Cited: 2
COVID-Nets: Deep CNN Architectures for Detecting COVID-19 Using Chest CT Scans
Hammam Alshazly, Christoph Linse, Mohamed Abdalla, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5
Explainable optimization of deep learning model for COVID-19 detection using chest images
Slamet Riyadi, Eka Nova Pramudya, Cahya Damarjati, et al.
Informatics in Medicine Unlocked (2024) Vol. 49, pp. 101559-101559
Open Access
Deep DenseNet and ResNet Approach for COVID-19 Prognosis: Experiments on Real CT Images
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Advances in intelligent systems and computing (2021), pp. 731-747
Closed Access | Times Cited: 1
Predicting infection with coronavirus wirelessly based on artificial neural network and MATLAB
Suha Dalaf Fahad, Sadik Kamel Gharghan, Raghad Hassan Hussein
AIP conference proceedings (2023) Vol. 2591, pp. 020010-020010
Open Access
A comparative approach for classifying retinal OCT images based on deep learning framework
Aman Dureja, Payal Pahwa
Journal of Discrete Mathematical Sciences and Cryptography (2022) Vol. 25, Iss. 4, pp. 859-870
Closed Access
Peer Review #3 of "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans (v0.1)"
Walid Hariri
(2021)
Open Access
Peer Review #1 of "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans (v0.2)"
Mehmet Özsöz
(2021)
Open Access
Peer Review #2 of "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans (v0.1)"
Hammam Alshazly, Christoph Linse, Mohamed Abdalla, et al.
(2021)
Open Access
Peer Review #3 of "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans (v0.2)"
Walid Hariri
(2021)
Open Access
Peer Review #1 of "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans (v0.3)"
Mehmet Özsöz
(2021)
Open Access
Peer Review #1 of "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans (v0.1)"
Mehmet Özsöz
(2021)
Open Access
Peer Review #2 of "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans (v0.2)"
Hammam Alshazly, Christoph Linse, Mohamed Abdalla, et al.
(2021)
Open Access
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