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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:

Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach
Sara Hosseinzadeh Kassania, Peyman Hosseinzadeh Kassanib, Michal J. Wesolowskic, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 867-879
Open Access | Times Cited: 343

Showing 1-25 of 343 citing articles:

Coronavirus disease (COVID-19) cases analysis using machine-learning applications
Ameer Sardar Kwekha-Rashid, Heamn Noori Abduljabbar, Bilal Alhayani
Applied Nanoscience (2021) Vol. 13, Iss. 3, pp. 2013-2025
Open Access | Times Cited: 308
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: 194
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, et al.
IEEE Open Journal of the Computer Society (2022) Vol. 3, pp. 172-184
Open Access | Times Cited: 194
Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods
Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Alaa S. Al‐Waisy, et al.
IEEE Access (2020) Vol. 8, pp. 99115-99131
Open Access | Times Cited: 182
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence
Ilker Ozsahin, Boran Şekeroğlu, Musa Sani Musa, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 172
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 139
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
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
Goram Mufarah M. Alshmrani, Qiang Ni, Richard Jiang, et al.
Alexandria Engineering Journal (2022) Vol. 64, pp. 923-935
Open Access | Times Cited: 131
COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
S. V. Kogilavani, Prabhu Jayagopal, R. Sandhiya, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 120
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
Ahmet Saygılı
Applied Soft Computing (2021) Vol. 105, pp. 107323-107323
Open Access | Times Cited: 114
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
Vinayakumar Ravi, Harini Narasimhan, Chinmay Chakraborty, et al.
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1401-1415
Open Access | Times Cited: 111
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
Han Li, Nianyin Zeng, Peishu Wu, et al.
Expert Systems with Applications (2022) Vol. 207, pp. 118029-118029
Open Access | Times Cited: 106
COVID-19 detection using federated machine learning
Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252573-e0252573
Open Access | Times Cited: 103
Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review
Yogesh H. Bhosale, K. Sridhar Patnaik
Neural Processing Letters (2022) Vol. 55, Iss. 3, pp. 3551-3603
Open Access | Times Cited: 81
Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Bekalu Tadele Abeje, et al.
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103530-103530
Open Access | Times Cited: 72
A holistic overview of deep learning approach in medical imaging
Rammah Yousef, Gaurav Gupta, Nabhan Yousef, et al.
Multimedia Systems (2022) Vol. 28, Iss. 3, pp. 881-914
Open Access | Times Cited: 70
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 43
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 17
Machine learning techniques for sequence-based prediction of viral–host interactions between SARS-CoV-2 and human proteins
Lopamudra Dey, Sanjay Chakraborty, Anirban Mukhopadhyay
Biomedical Journal (2020) Vol. 43, Iss. 5, pp. 438-450
Open Access | Times Cited: 100
An IoT-Based Deep Learning Framework for Early Assessment of Covid-19
Imran Ahmed, Awais Ahmad, Gwanggil Jeon
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 21, pp. 15855-15862
Open Access | Times Cited: 99
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
Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19
Muhammad Irfan, Muhammad Aksam Iftikhar, Sana Yasin, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 6, pp. 3056-3056
Open Access | Times Cited: 89
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19
Hanan Farhat, George E. Sakr, Rima Kilany
Machine Vision and Applications (2020) Vol. 31, Iss. 6
Open Access | Times Cited: 77
Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment
Roberta Fusco, Roberta Grassi, Vincenza Granata, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 10, pp. 993-993
Open Access | Times Cited: 75
From E-budgeting to smart budgeting: Exploring the potential of artificial intelligence in government decision-making for resource allocation
David Valle-Cruz, Vanessa Fernández-Cortez, J. Ramón Gil-García
Government Information Quarterly (2021) Vol. 39, Iss. 2, pp. 101644-101644
Closed Access | Times Cited: 75
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