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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:

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
Ferhat Uçar, Deniz Korkmaz
Medical Hypotheses (2020) Vol. 140, pp. 109761-109761
Open Access | Times Cited: 756

Showing 1-25 of 756 citing articles:

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
Linda Wang, Zhong Qiu Lin, Alexander Wong
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 2952
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: 2843
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, et al.
IEEE Access (2020) Vol. 8, pp. 132665-132676
Open Access | Times Cited: 1678
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
Ali Narin, Ceren Kaya, Ziynet Pamuk
Pattern Analysis and Applications (2021) Vol. 24, Iss. 3, pp. 1207-1220
Open Access | Times Cited: 1305
Deep learning approaches for COVID-19 detection based on chest X-ray images
Aras Masood Ismael, Abdulkadir Şengür
Expert Systems with Applications (2020) Vol. 164, pp. 114054-114054
Open Access | Times Cited: 676
A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images
Md. Zabirul Islam, Md. Milon Islam, Amanullah Asraf
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100412-100412
Open Access | Times Cited: 574
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc‐Viet Pham, Pubudu N. Pathirana, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-37
Open Access | Times Cited: 399
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, et al.
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102365-102365
Open Access | Times Cited: 359
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts
Quoc‐Viet Pham, Dinh C. Nguyen, Thien Huynh‐The, et al.
IEEE Access (2020) Vol. 8, pp. 130820-130839
Open Access | Times Cited: 349
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Muhammet Fatih Aslan, Muhammed Fahri Ünlerşen, Kadir Sabancı, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106912-106912
Open Access | Times Cited: 315
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
Majid Nour, Zafer Cömert, Kemal Polat
Applied Soft Computing (2020) Vol. 97, pp. 106580-106580
Open Access | Times Cited: 306
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam, Fakhri Karray, Reda Alhajj, et al.
IEEE Access (2021) Vol. 9, pp. 30551-30572
Open Access | Times Cited: 269
Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects
O. S. Albahri, A. A. Zaidan, A. S. Albahri, et al.
Journal of Infection and Public Health (2020) Vol. 13, Iss. 10, pp. 1381-1396
Open Access | Times Cited: 266
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble
Tej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh, et al.
Expert Systems with Applications (2020) Vol. 165, pp. 113909-113909
Open Access | Times Cited: 261
MosMedData: Chest CT Scans with COVID-19 Related Findings Dataset
С. П. Морозов, Anna Andreychenko, Nikolay Pavlov, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 223
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Anunay Gupta, Anjum Ansari, Shreyansh Gupta, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106859-106859
Open Access | Times Cited: 223
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
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: 190
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble
Muammer Türkoğlu
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1213-1226
Open Access | Times Cited: 190
An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization
Dalia Ezzat, Aboul Ella Hassanien, Hassan Aboul-Ella
Applied Soft Computing (2020) Vol. 98, pp. 106742-106742
Open Access | Times Cited: 186
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
Jawad Rasheed, Alaa Ali Hameed, Chawki Djeddi, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 1, pp. 103-117
Open Access | Times Cited: 177
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?
Tuan D. Pham
Health Information Science and Systems (2020) Vol. 9, Iss. 1
Open Access | Times Cited: 175
Prediction and analysis of Corona Virus Disease 2019
Hao Yan, Ting Xu, Hongping Hu, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0239960-e0239960
Open Access | Times Cited: 172
Comparative study of machine learning methods for COVID-19 transmission forecasting
Abdelkader Dairi, Fouzi Harrou, Abdelhafid Zeroual, et al.
Journal of Biomedical Informatics (2021) Vol. 118, pp. 103791-103791
Open Access | Times Cited: 145
NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network
Siyuan Lu, Ziquan Zhu, J. M. Górriz, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 2, pp. 1572-1598
Open Access | Times Cited: 140
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