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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-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images
Abolfazl Zargari Khuzani, Morteza Heidari, S. Ali Shariati
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 181

Showing 1-25 of 181 citing articles:

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Zeeshan Ahmed, Khalid Gaffer Mohamed, Saman Zeeshan, et al.
Database (2020) Vol. 2020
Open Access | Times Cited: 635
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 196
Machine learning and applications in microbiology
Stephen J. Goodswen, Joel Barratt, Paul Kennedy, et al.
FEMS Microbiology Reviews (2021) Vol. 45, Iss. 5
Open Access | Times Cited: 134
Machine learning meets omics: applications and perspectives
Rufeng Li, Lixin Li, Yungang Xu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 112
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Zhicheng Jiao, Ji Whae Choi, Kasey Halsey, et al.
The Lancet Digital Health (2021) Vol. 3, Iss. 5, pp. e286-e294
Open Access | Times Cited: 108
Machine learning applications for COVID-19 outbreak management
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15313-15348
Open Access | Times Cited: 92
CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer
Anandbabu Gopatoti, P. Vijayalakshmi
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103860-103860
Open Access | Times Cited: 74
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
Ahmad MohdAziz Hussein, Abdulrauf Garba Sharifai, Osama Moh’d Alia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 137
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 135
Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images
Sheetal Rajpal, Navin Lakhyani, Ayush Singh, et al.
Chaos Solitons & Fractals (2021) Vol. 145, pp. 110749-110749
Open Access | Times Cited: 93
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi‐Langeroudi, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 90
Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks
Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, et al.
International Journal of Biomedical Imaging (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 88
Artificial intelligence-driven assessment of radiological images for COVID-19
Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104665-104665
Open Access | Times Cited: 70
Uncertainty-driven ensembles of multi-scale deep architectures for image classification
Juan E. Arco, Andrés Ortíz, Javier Ramı́rez, et al.
Information Fusion (2022) Vol. 89, pp. 53-65
Open Access | Times Cited: 41
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images
Zahid Ullah, Muhammad Usman, Jeonghwan Gwak
Expert Systems with Applications (2023) Vol. 216, pp. 119475-119475
Open Access | Times Cited: 37
WNet: A Data-Driven Dual-Domain Denoising Model for Sparse-View Computed Tomography With a Trainable Reconstruction Layer
Theodor Cheslerean-Boghiu, Felix C. Hofmann, Manuel Schulthei, et al.
IEEE Transactions on Computational Imaging (2023) Vol. 9, pp. 120-132
Open Access | Times Cited: 28
A comparative study of multiple neural network for detection of COVID-19 on chest X-ray
Shazia Anis, Tan Zi Xuan, Joon Huang Chuah, et al.
EURASIP Journal on Advances in Signal Processing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 54
Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic
Mohammad Marufur Rahman, Md. Milon Islam, Md. Motaleb Hossen Manik, et al.
SN Computer Science (2021) Vol. 2, Iss. 5
Open Access | Times Cited: 54
FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information
Trang-Thi Ho, Khoa-Dang Tran, Yennun Huang
Sensors (2022) Vol. 22, Iss. 10, pp. 3728-3728
Open Access | Times Cited: 34
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 31
Study of X Ray Detection Using CNN in Machine Learning
Neeraj Bhargava, Pramod Singh Rathore, Apoorva Bhowmick
Communications in computer and information science (2022), pp. 295-303
Closed Access | Times Cited: 30
The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection
Yoonje Lee, Yu-Seop Kim, Dain Lee, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 28
D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images
Mustafa Kaya, Mustafa Eriş
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104559-104559
Open Access | Times Cited: 21
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 24, pp. 17461-17483
Open Access | Times Cited: 21
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