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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 X-ray COVID-19 Lung Image Classification System based on Multi-Level Thresholding and Support Vector Machine
Lamia Nabil Mahdy, Kadry Ali Ezzat, Haytham H. Elmousalami, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Gary S. Collins, et al.
BMJ (2020), pp. m1328-m1328
Open Access | Times Cited: 2816
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Rachna Jain, Meenu Gupta, Soham Taneja, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1690-1700
Open Access | Times Cited: 470
Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature
Davide Golinelli, Erik Boetto, Gherardo Carullo, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e22280-e22280
Open Access | Times Cited: 437
A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19
Youssoufa Mohamadou, Aminou Halidou, Pascalin Tiam Kapen
Applied Intelligence (2020) Vol. 50, Iss. 11, pp. 3913-3925
Open Access | Times Cited: 321
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: 195
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109947-109947
Open Access | Times Cited: 189
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 164
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19
Tripti Goel, R. Murugan, Seyedali Mirjalili, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1351-1366
Open Access | Times Cited: 160
COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning
Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Younhee Choi, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 21, pp. 30615-30645
Open Access | Times Cited: 152
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 survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110337-110337
Open Access | Times Cited: 107
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
Automatic prediction of COVID− 19 from chest images using modified ResNet50
Marwa Elpeltagy, Hany Sallam
Multimedia Tools and Applications (2021) Vol. 80, Iss. 17, pp. 26451-26463
Open Access | Times Cited: 97
Deep Learning Approaches for Detecting COVID-19 From Chest X-Ray Images: A Survey
Hanan S. Alghamdi, Ghada Amoudi, Salma Elhag, et al.
IEEE Access (2021) Vol. 9, pp. 20235-20254
Open Access | Times Cited: 92
Using artificial intelligence techniques for COVID-19 genome analysis
M. Saqib Nawaz, Philippe Fournier‐Viger, Abbas Shojaee, et al.
Applied Intelligence (2021) Vol. 51, Iss. 5, pp. 3086-3103
Open Access | Times Cited: 92
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1409-1439
Open Access | Times Cited: 82
Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
José Daniel López-Cabrera, Rubén Orozco‐Morales, Jorge Armando Portal-Díaz, et al.
Health and Technology (2021) Vol. 11, Iss. 2, pp. 411-424
Open Access | Times Cited: 79
Interpreting SVM for medical images using Quadtree
Prashant Shukla, Abhishek Verma, Abhishek Singh, et al.
Multimedia Tools and Applications (2020) Vol. 79, Iss. 39-40, pp. 29353-29373
Open Access | Times Cited: 77
A systematic review on AI/ML approaches against COVID-19 outbreak
Onur Doğan, Sanju Tiwari, M. A. Jabbar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2655-2678
Open Access | Times Cited: 74
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan
Xiaofeng Zhu, Bin Song, Feng Shi, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101824-101824
Open Access | Times Cited: 73
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, et al.
Journal of Biomedical Informatics (2021) Vol. 117, pp. 103751-103751
Open Access | Times Cited: 66
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, et al.
Expert Systems with Applications (2021) Vol. 173, pp. 114677-114677
Open Access | Times Cited: 64
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype
Musa Abdulkareem, Steffen E. Petersen
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 62
A Comprehensive Survey of COVID-19 Detection Using Medical Images
Faisal Muhammad Shah, Sajib Kumar Saha Joy, Farzad Ahmed, et al.
SN Computer Science (2021) Vol. 2, Iss. 6
Open Access | Times Cited: 62
A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 53
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