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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-19 CT-images diagnosis and severity assessment using machine learning algorithm
Zaid Albataineh, Fatima Aldrweesh, Mohammad A. Alzubaidi
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 547-562
Open Access | Times Cited: 22

Showing 22 citing articles:

From prediction to design: Recent advances in machine learning for the study of 2D materials
Hua He, Yuhua Wang, Yajuan Qi, et al.
Nano Energy (2023) Vol. 118, pp. 108965-108965
Closed Access | Times Cited: 39
Interpretable COVID-19 chest X-ray detection based on handcrafted feature analysis and sequential neural network
Rukundo Prince, Zhendong Niu, Zahid Khan, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109659-109659
Closed Access | Times Cited: 1
A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity
Ali Khalili Fakhrabadi, Mehdi Jafari Shahbazzadeh, Nazanin Jalali, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial intelligence based systems for combating communicable diseases
Saurav, Tejinder Kumar
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Rede de ajuste dinâmico de imagens de tomografia computadorizada para predição da severidade da COVID-19
Gilderlan Silva Coelho, Stelmo Magalhães Barros Netto
Revista Caribeña de Ciencias Sociales (2025) Vol. 14, Iss. 3, pp. e4468-e4468
Closed Access
A predictive model to explore risk factors for severe COVID-19
Fen-Hong Qian, Yu Cao, Yuxue Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias
Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Hassaan Malik, Tayyaba Anees, Ahmad Sami Al-Shamayleh, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2772-2772
Open Access | Times Cited: 6
Ant Colony Optimization–Rain Optimization Algorithm Based on Hybrid Deep Learning for Diagnosis of Lung Involvement in Coronavirus Patients
Jamal Mhawesh Challab, Farhad Mardukhi
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2023) Vol. 47, Iss. 3, pp. 887-902
Open Access | Times Cited: 5
Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50
R. Saranya, R Jaichandran
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106295-106295
Closed Access | Times Cited: 1
Seeker optimization with mask RCNN based efficient model for Covid-19 detection and severity analysis using CT images
P. Ranjini Mupra, B. Ashok, T. S. Bindulal
OPSEARCH (2024)
Closed Access | Times Cited: 1
COVID-19 Severity Prediction Using Combined Machine Learning and Transfer Learning Approaches
Ame Rayan Rambola, A. Suruliandi, S. P. Raja
Brazilian Archives of Biology and Technology (2024) Vol. 67
Open Access | Times Cited: 1
A tri-light warning system for hospitalized COVID-19 patients: Credibility-based risk stratification for future pandemic preparedness
Chuanjun Xu, Qinmei Xu, Li Liu, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100603-100603
Open Access | Times Cited: 1
Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes
Tijana Geroski, Vesna Ranković, Ognjen Pavić, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107103-107103
Closed Access | Times Cited: 1
Integrated Model for Covid 19 Disease Diagnosis using Deep Learning Approach
S. Suganyadevi, V. Seethalakshmi, P. Anandan, et al.
(2023)
Closed Access | Times Cited: 3
DeepSeverity: Detection Different Stages of COVID-19 Disease with Combined Convolutional and Bayesian-BiLSTM Models
Ali Khalili Fakhrabadi, Mehdi Jafari Shahbazzadeh, Nazanin Jalali, et al.
Research Square (Research Square) (2024)
Open Access
COVID-19 Pandemic: A Worldwide Critical Review with the Machine Learning Model-Based Prediction
Neeraj Kumar Misra, Sanchali Das, Sambit Satpathy, et al.
Journal of The Institution of Engineers (India) Series B (2024)
Closed Access
Predicting the Severity of COVID-19 Pneumonia from Chest X-Ray Images: A Convolutional Neural Network Approach
Tat-Bao-Thien Nguyen, Viet-Trinh Tran-Thi, Vuong M. Ngo
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (2024) Vol. 12, Iss. 1
Open Access
Integrating Statistical Methods and Machine Learning Techniques to Analyze and Classify COVID-19 Symptom Severity
Yaqeen Raddad, Ahmad Hasasneh, Obada Abdallah, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 12, pp. 192-192
Open Access
Classification of COVID-19 Utilizing CT Scan Images Employing the EfficientNet Model
Priyanka Sharma, Varsha Sharma
(2024), pp. 1-7
Closed Access
A Hybrid Deep Neural Approach for Segmenting the COVID Affection Area from the Lungs X-Ray Images
T. Vijayanandh, A. Shenbagavalli
New Generation Computing (2023) Vol. 41, Iss. 3, pp. 503-522
Open Access | Times Cited: 1
Automatic detection of infected areas of CT images in COVID-19 patients using Inf-Seg-Net
J. Kalaivani, A. Arunachalam
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 104
Open Access
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