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:
A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19)
Sajid Ullah Khan, Imdad Ullah, Najeeb Ullah, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Sajid Ullah Khan, Imdad Ullah, Najeeb Ullah, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
Enhancing COVID-19 detection accuracy using decision tree and linear regression machine learning models
R Bharath, M. Ramkumar
AIP conference proceedings (2025) Vol. 3252, pp. 020201-020201
Closed Access
R Bharath, M. Ramkumar
AIP conference proceedings (2025) Vol. 3252, pp. 020201-020201
Closed Access
Next-Generation Automation in Neuro-Oncology: Advanced Neural Networks for MRI-Based Brain Tumor Segmentation and Classification
Syed Sajid Hussain, Niyaz Ahmad Wani, Jasleen Kaur, et al.
IEEE Access (2025) Vol. 13, pp. 41141-41158
Open Access
Syed Sajid Hussain, Niyaz Ahmad Wani, Jasleen Kaur, et al.
IEEE Access (2025) Vol. 13, pp. 41141-41158
Open Access
COVID-19 infection analysis framework using novel boosted CNNs and radiological images
Saddam Hussain Khan, Tahani Jaser Alahmadi, Tariq Alsahfi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Saddam Hussain Khan, Tahani Jaser Alahmadi, Tariq Alsahfi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
COVID-19 infection segmentation using hybrid deep learning and image processing techniques
Samar Antar, Hussein Karam Hussein Abd El-Sattar, Mohammad H. Abdel-Rahman, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Samar Antar, Hussein Karam Hussein Abd El-Sattar, Mohammad H. Abdel-Rahman, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
A genetic programming Rician noise reduction and explainable deep learning model for Alzheimer's diseases severity prediction
Sajid Ullah Khan, Abdullah Albanyan, Mohsin Bilal, et al.
Journal of Alzheimer s Disease (2024) Vol. 102, Iss. 1, pp. 129-142
Closed Access | Times Cited: 1
Sajid Ullah Khan, Abdullah Albanyan, Mohsin Bilal, et al.
Journal of Alzheimer s Disease (2024) Vol. 102, Iss. 1, pp. 129-142
Closed Access | Times Cited: 1
A Joint Classification Method for COVID-19 Lesions Based on Deep Learning and Radiomics
Guoxiang Ma, Kai Wang, Ting Zeng, et al.
Tomography (2024) Vol. 10, Iss. 9, pp. 1488-1500
Open Access
Guoxiang Ma, Kai Wang, Ting Zeng, et al.
Tomography (2024) Vol. 10, Iss. 9, pp. 1488-1500
Open Access
Enhancing COVID-19 detection accuracy with decision tree and support vector machine learning models
R Bharath, M. Ramkumar
AIP conference proceedings (2024) Vol. 3193, pp. 020223-020223
Closed Access
R Bharath, M. Ramkumar
AIP conference proceedings (2024) Vol. 3193, pp. 020223-020223
Closed Access
