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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.

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Showing 13 citing articles:

Radiomics and Artificial Intelligence in Pulmonary Fibrosis
Stefania L. Chantzi, Alexandra Kosvyra, Ioanna Chouvarda
Deleted Journal (2025)
Closed Access | Times Cited: 1
Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare
Han Yuan, Kunyu Yu, Feng Xie, et al.
Medicine Advances (2024) Vol. 2, Iss. 3, pp. 205-237
Open Access | Times Cited: 8
Translating AI to Clinical Practice: Overcoming Data Shift with Explainability
Youngwon Choi, Wenxi Yu, Mahesh Nagarajan, et al.
Radiographics (2023) Vol. 43, Iss. 5
Open Access | Times Cited: 16
Evaluating the robustness of deep learning models trained to diagnose idiopathic pulmonary fibrosis using a retrospective study
Wenxi Yu, Michael F. McNitt‐Gray, Jonathan Goldin, et al.
Medical Physics (2025)
Closed Access
Exploring computer-based imaging analysis in interstitial lung disease: opportunities and challenges
Federico Felder, Simon Walsh
ERJ Open Research (2023) Vol. 9, Iss. 4, pp. 00145-2023
Open Access | Times Cited: 10
From pixels to prognosis: unlocking the potential of deep learning in fibrotic lung disease imaging analysis
Sean R de la Orden Kett Morais, Federico N Felder, Simon Walsh
British Journal of Radiology (2024) Vol. 97, Iss. 1161, pp. 1517-1525
Open Access | Times Cited: 1
FibroRegNet: A Regression Framework for the Pulmonary Fibrosis Prognosis Prediction Using a Convolutional Spatial Transformer Network
Pardhasaradhi Mittapalli, V. Thanikaiselvan
IEEE Access (2024) Vol. 12, pp. 131928-131941
Open Access | Times Cited: 1
The potential role of artificial intelligence in the clinical practice of interstitial lung disease
Tomohiro Handa
Respiratory Investigation (2023) Vol. 61, Iss. 6, pp. 702-710
Closed Access | Times Cited: 4
Apport de l’intelligence artificielle dans le post-traitement de l’imagerie thoracique
Philippe Greniér, A.L. Brun, François Mellot
Revue des Maladies Respiratoires (2023) Vol. 41, Iss. 2, pp. 110-126
Closed Access | Times Cited: 2
Itmbieasf : Adpative Pulmonary Disease Detection by Integrating Tuned Mobilenetv2 With Bi-histogram Equalization and Adaptive Sigmoid Functions
J. Lakshmi Narayana, Manyam Thaile, Mudassir Khan, et al.
Research Square (Research Square) (2024)
Open Access
Deep learning in interstitial lung disease: classification and prognostic insights
Yisong Wang, Youlan Shang, Jiaqi Yao, et al.
Radiology Science (2024) Vol. 3, Iss. 1
Closed Access
Inteligência artificial na tomografia para diagnóstico das doenças pulmonares intersticiais
Irvin Faria, Kleuber Arias Meireles Martins, Davi Augusto Cardoso de Carvalho, et al.
Journal of Health Informatics (2024) Vol. 16, Iss. Especial
Open Access
Hot Topics
Jesús López‐Fidalgo
Lecture notes in statistics (2023), pp. 111-145
Closed Access
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