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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:

Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images
Mehmet Yamaç, Mete Ahishali, Aysen Degerli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 32, Iss. 5, pp. 1810-1820
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104319-104319
Open Access | Times Cited: 862
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Dina M. Ibrahim, Nada M. Elshennawy, Amany Sarhan
Computers in Biology and Medicine (2021) Vol. 132, pp. 104348-104348
Open Access | Times Cited: 277
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
COVID-19 infection localization and severity grading from chest X-ray images
Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 105002-105002
Open Access | Times Cited: 147
COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images
Shamima Akter, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, et al.
Biology (2021) Vol. 10, Iss. 11, pp. 1174-1174
Open Access | Times Cited: 130
Observer-Based Neural Control of N-Link Flexible-Joint Robots
Hui Ma, Hongru Ren, Qi Zhou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5295-5305
Closed Access | Times Cited: 81
COVID-19 infection map generation and detection from chest X-ray images
Aysen Degerli, Mete Ahishali, Mehmet Yamaç, et al.
Health Information Science and Systems (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 92
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
Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic
Sourabh Shastri, Kuljeet Singh, Sachin Kumar, et al.
International Journal of Information Technology (2021) Vol. 13, Iss. 4, pp. 1291-1301
Open Access | Times Cited: 58
Screening of COVID-19 Suspected Subjects Using Multi-Crossover Genetic Algorithm Based Dense Convolutional Neural Network
Dilbag Singh, Vijay Kumar, Manjit Kaur, et al.
IEEE Access (2021) Vol. 9, pp. 142566-142580
Open Access | Times Cited: 56
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
Anas Tahir, Yazan Qiblawey, Amith Khandakar, et al.
Cognitive Computation (2022) Vol. 14, Iss. 5, pp. 1752-1772
Open Access | Times Cited: 49
CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network
S. Suganyadevi, V. Seethalakshmi
Wireless Personal Communications (2022) Vol. 126, Iss. 4, pp. 3279-3303
Open Access | Times Cited: 41
RETRACTED ARTICLE: Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm
Abobaker Mohammed Qasem Farhan, Shangming Yang
Multimedia Tools and Applications (2023) Vol. 82, Iss. 25, pp. 38561-38587
Open Access | Times Cited: 38
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120528-120528
Open Access | Times Cited: 33
Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities
Ibrahim Alrashdi, Ali Alqazzaz
Sustainable Machine Intelligence Journal (2024) Vol. 7
Open Access | Times Cited: 8
Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images
Mete Ahishali, Aysen Degerli, Mehmet Yamaç, et al.
IEEE Access (2021) Vol. 9, pp. 41052-41065
Open Access | Times Cited: 51
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Robiul Islam, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 528-550
Open Access | Times Cited: 18
Performance evaluation of reduced complexity deep neural networks
Shahrukh Agha, Sajid Nazir, Mohammad Kaleem, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319859-e0319859
Open Access
A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images
Zhenyu Fang, Jinchang Ren, Calum MacLellan, et al.
IEEE Transactions on Molecular Biological and Multi-Scale Communications (2021) Vol. 8, Iss. 1, pp. 17-27
Open Access | Times Cited: 35
COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques
Abul Bashar, Ghazanfar Latif, Ghassen Ben Brahim, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 1972-1972
Open Access | Times Cited: 35
Medical image analysis
Aysen Degerli, Mehmet Yamaç, Mete Ahishali, et al.
Elsevier eBooks (2022), pp. 541-577
Closed Access | Times Cited: 25
A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images
Saeed Alahmari, Baderaldeen Altazi, Jisoo Hwang, et al.
IEEE Access (2022) Vol. 10, pp. 100763-100785
Closed Access | Times Cited: 25
Multi-Channel Based Image Processing Scheme for Pneumonia Identification
Grace Ugochi Nneji, Jingye Cai, Jianhua Deng, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 325-325
Open Access | Times Cited: 23
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
Farhan Fuad Abir, Khalid Alyafei, Muhammad E. H. Chowdhury, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105682-105682
Open Access | Times Cited: 23
Multi-Classification of Chest X-rays for COVID-19 Diagnosis Using Deep Learning Algorithms
Abeer Abdelhamid, Eman AbdElhalim, Mohamed A. Mohamed, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2080-2080
Open Access | Times Cited: 22
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