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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:

Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
Hassan K. Ahmad, Michael Milne, Quinlan D. Buchlak, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 743-743
Open Access | Times Cited: 15

Showing 15 citing articles:

Artificial intelligence-assisted double reading of chest radiographs to detect clinically relevant missed findings: a two-centre evaluation
Laurens Topff, Sanne Steltenpool, Erik Ranschaert, et al.
European Radiology (2024) Vol. 34, Iss. 9, pp. 5876-5885
Open Access | Times Cited: 5
AI in healthcare: an introduction for clinicians
Ahmed Maiter, Samer Alabed, G. E. Kawika Allen, et al.
BMJ evidence-based medicine (2025), pp. bmjebm-112966
Closed Access
AI-Based CXR First Reading: Current Limitations to Ensure Practical Value
Yuriy А. Vasilev, Anton V. Vladzymyrskyy, Olga V. Omelyanskaya, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1430-1430
Open Access | Times Cited: 11
Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis
Jacob Creswell, Luan Nguyen Quang Vo, Zhi Zhen Qin, et al.
BMC Global and Public Health (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 8
A deep learning feature extraction-based hybrid approach for detecting pediatric pneumonia in chest X-ray images
Ufuk Bal, Alkan Bal, Özge Taylan MORAL, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 47, Iss. 1, pp. 109-117
Closed Access | Times Cited: 5
Comparing PCA-Based Machine Learning Algorithms for COVID-19 Classification Using Chest X-ray Images
Hussein Ahmed Ali, Walid Hariri, Nadia Smaoui Zghal, et al.
Baghdad Science Journal (2024)
Open Access | Times Cited: 1
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification
Cyril Tang, Jarrel Seah, Hassan K. Ahmad, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2317-2317
Open Access | Times Cited: 4
Synthetic Generation of Multidimensional Data to Improve Classification Model Validity
Ahmad Al–Qerem, Ali Mohd Ali, Hani Attar, et al.
Journal of Data and Information Quality (2023) Vol. 15, Iss. 3, pp. 1-20
Open Access | Times Cited: 2
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
Enhancing Clinical Diagnosis With Convolutional Neural Networks: Developing High-Accuracy Deep Learning Models for Differentiating Thoracic Pathologies
Kartik K. Goswami, Nathaniel Tak, Arnav Wadhawan, et al.
Cureus (2024)
Open Access
Applications and potential of machine learning augmented chest X-ray interpretation in cardiology
Michael Milne, Hassan K. Ahmad, Quinlan D. Buchlak, et al.
Minerva Cardiology and Angiology (2024) Vol. 73, Iss. 1
Closed Access
Application of artificial intelligence in chest radiograph interpretation: Is the time ripe yet?
Satyavratan Govindarajan, Ramakrishnan Swaminathan
The Journal of Clinical and Scientific Research (2024) Vol. 13, Iss. 3, pp. 157-158
Open Access
Unveiling Lung Diseases in CT Scan Images With a Hybrid Bio‐Inspired Mutated Spider‐Monkey and Crow Search Algorithm
Anupam Kumar, Faiyaz Ahmad, Bashir Alam
Expert Systems (2024)
Closed Access
AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol
Farhaan Khan, Indrajeet Das, M. Kotnik, et al.
BMJ Open (2024) Vol. 14, Iss. 12, pp. e080554-e080554
Open Access
Impact of Analytics Applying Artificial Intelligence and Machine Learning on Enhancing Intensive Care Unit: A Narrative Review
Gopal Singh Charan, Ashok Singh Charan, Mandeep Singh Khurana, et al.
Galician Medical Journal (2023) Vol. 30, Iss. 4
Open Access | Times Cited: 1
Diagnosis of Traumatic Liver Injury on Ct Scan Using Machine Learning Algorithms and Radiomics Features; the Role of Artificial Intelligence in Faster Diagnosis in Emergencies
Hanieh Alimiri Dehbaghi, Karim Khoshgard, Hamid Sharini, et al.
(2023)
Closed Access
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