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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:

A CT radiomics analysis of COVID-19-related ground-glass opacities and consolidation: Is it valuable in a differential diagnosis with other atypical pneumonias?
Mutlu Gülbay, Bahadır Orkun Özbay, Bökebatur Ahmet Raşit Mendi, et al.
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0246582-e0246582
Open Access | Times Cited: 15

Showing 15 citing articles:

Introduction to radiomics for a clinical audience
Cathal McCague, Syafiq Ramlee, Marika Reinius, et al.
Clinical Radiology (2023) Vol. 78, Iss. 2, pp. 83-98
Open Access | Times Cited: 63
Artificial intelligence-driven assessment of radiological images for COVID-19
Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104665-104665
Open Access | Times Cited: 71
Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors
Fariba Tohidinezhad, Dennis Bontempi, Zhen Zhang, et al.
European Journal of Cancer (2023) Vol. 183, pp. 142-151
Open Access | Times Cited: 15
Radiomics analysis in medical imaging research
Mahmoud Elmahdy, Ronnie Sebro
Journal of Medical Radiation Sciences (2023) Vol. 70, Iss. 1, pp. 3-7
Open Access | Times Cited: 12
Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease
Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 27
A meta-analysis of the diagnostic test accuracy of CT-based radiomics for the prediction of COVID-19 severity
Yung‐Shuo Kao, Kun-Te Lin
La radiologia medica (2022) Vol. 127, Iss. 7, pp. 754-762
Open Access | Times Cited: 18
Radiomic analysis of preoperative magnetic resonance imaging for the prediction of pituitary adenoma consistency
Bökebatur Ahmet Raşit Mendi, Halitcan Batur, Nurdan Çay, et al.
Acta Radiologica (2023) Vol. 64, Iss. 8, pp. 2470-2478
Closed Access | Times Cited: 7
COVID-index: A texture-based approach to classifying lung lesions based on CT images
Vitória de Carvalho Brito, Patrick Ryan Sales dos Santos, Nonato Rodrigues de Sales Carvalho, et al.
Pattern Recognition (2021) Vol. 119, pp. 108083-108083
Open Access | Times Cited: 9
Evaluation of the models generated from clinical features and deep learning-based segmentations: Can thoracic CT on admission help us to predict hospitalized COVID-19 patients who will require intensive care?
Mutlu Gülbay, Aliye Baştuğ, Erdem Özkan, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Radiomics in COVID-19: The Time for (R)evolution Has Came
Roxana Irina Iancu, Alexandru Zara, Camil Ciprian Mireștean, et al.
BioMed (2022) Vol. 2, Iss. 1, pp. 60-68
Open Access | Times Cited: 5
Bone marrow lesions of the femoral head: can radiomics distinguish whether it is reversible?
Halitcan Batur, Bökebatur Ahmet Raşit Mendi, Nurdan Çay
Polish Journal of Radiology (2023) Vol. 88, pp. 194-202
Open Access | Times Cited: 2
Development of a radiomics nomogram to predict the treatment resistance of Chinese MPO-AAV patients with lung involvement: a two-center study
Juan Chen, Ting Meng, Jia Xu, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 2
Machine Learning and Image Processing Techniques for Covid-19 Detection: A Review
Neeraj Venkatasai L. Appari, Mahendra Kanojia, Kritik B. Bangera
Lecture notes in networks and systems (2022), pp. 441-450
Closed Access | Times Cited: 3
Radiomics-Assisted Computed Tomography-Based Analysis to Evaluate Lung Morphology Characteristics after Congenital Diaphragmatic Hernia
Silviu-Viorel Virlan, Matthias F. Froelich, Greta Thater, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 24, pp. 7700-7700
Open Access
Comparison of Chest Computed Tomography Differential Diagnosis of Ground Glass Opacities in the COVID-19 Patients
Inayat Ullah, Imran Khan Memon, Muhammad Rashid Rasul, et al.
(2022) Vol. 16, Iss. 5, pp. 137-139
Open Access
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