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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:

Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD
Sun Kyung Jeon, Jeong Min Lee, Ijin Joo, et al.
Radiology (2023) Vol. 307, Iss. 1
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

WFUMB Guidelines/Guidance on Liver Multiparametric Ultrasound. Part 2: Guidance on Liver Fat Quantification
Giovanna Ferraioli, R. Graham Barr, Annalisa Berzigotti, et al.
Ultrasound in Medicine & Biology (2024) Vol. 50, Iss. 8, pp. 1088-1098
Open Access | Times Cited: 31
The Future Is Beyond Bright: The Evolving Role of Quantitative US for Fatty Liver Disease
Arinc Ozturk, Viksit Kumar, Theodore T. Pierce, et al.
Radiology (2023) Vol. 309, Iss. 2
Open Access | Times Cited: 13
Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease
Sun Kyung Jeon, Jeong Min Lee
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Quantitative ultrasound analysis for non-invasive assessment of hepatic steatosis in metabolic dysfunction-associated steatotic liver disease
Yunling Fan, Kailing Chen, Qiannan Zhao, et al.
Clinical Hemorheology and Microcirculation (2025)
Closed Access
Recent advances in noninvasive assessment of liver steatosis
Giovanna Ferraioli, R. Graham Barr
Polskie Archiwum Medycyny Wewnętrznej (2024)
Open Access | Times Cited: 4
Construction of a Compound Model to Enhance the Accuracy of Hepatic Fat Fraction Estimation with Quantitative Ultrasound
Boglárka Zsély, Zita Zsombor, A Rónaszéki, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 203-203
Open Access
Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT
Haoran Zhang, Jinlong Liu, Danyang Su, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0310938-e0310938
Open Access
Ultrasound detection of nonalcoholic steatohepatitis using convolutional neural networks with dual-branch global–local feature fusion architecture
Tanmoy Chattopadhyay, Chun-Hao Lu, Yi‐Ping Chao, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Detection of Moderate Hepatic Steatosis on Portal Venous Phase Contrast-Enhanced CT: Evaluation Using an Automated Artificial Intelligence Tool
Perry J. Pickhardt, Glen M. Blake, Yotam Kimmel, et al.
American Journal of Roentgenology (2023) Vol. 221, Iss. 6, pp. 748-758
Closed Access | Times Cited: 10
Post-contrast CT liver attenuation alone is superior to the liver–spleen difference for identifying moderate hepatic steatosis
Perry J. Pickhardt, Glen M. Blake, Alexander Mœller, et al.
European Radiology (2024)
Closed Access | Times Cited: 3
Artificial intelligence techniques in liver cancer
Lulu Wang, Mostafa Fatemi, Azra Alizad
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Non-invasive Diagnosis of Pancreatic Steatosis with Ultrasound Images using Deep Learning Network
Yang Sun, Li Zhang, Jian‐Qiu Huang, et al.
Heliyon (2024), pp. e37580-e37580
Open Access | Times Cited: 3
Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes
Hoyol Jhang, So Jin Park, Ah-Ram Sul, et al.
Korean Journal of Radiology (2024) Vol. 25, Iss. 5, pp. 414-414
Open Access | Times Cited: 2
Development and validation of multivariable quantitative ultrasound for diagnosing hepatic steatosis
Sun Kyung Jeon, Jeong Min Lee, Soo Jin Cho, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Assessment of Hepatic Steatosis Using Ultrasound-Based Techniques: Focus on Fat Quantification
Woo Sun Rou
Clinical Ultrasound (2024) Vol. 9, Iss. 1, pp. 1-17
Open Access | Times Cited: 1
Quantitative Ultrasound and Ultrasound-Based Elastography for Chronic Liver Disease: Practical Guidance, From the AJR Special Series on Quantitative Imaging
Zhang Li, Marco Dioguardi Burgio, Valérie Vilgrain, et al.
American Journal of Roentgenology (2024)
Closed Access | Times Cited: 1
ANN uncertainty estimates in assessing fatty liver content from ultrasound data
Gianna M. Del Corso, Maria Antonietta Pascali, Claudia Caudai, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 603-610
Open Access | Times Cited: 1
The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease.
Pál Novák Kaposi, Zita Zsombor, A Rónaszéki, et al.
(2023)
Open Access | Times Cited: 3
The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease
Pál Novák Kaposi, Zita Zsombor, A Rónaszéki, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3353-3353
Open Access | Times Cited: 3
US-based Hepatic Fat Quantification: An Emerging Technique and Game Changer?
Paul S. Sidhu, Cheng Fang
Radiology (2023) Vol. 307, Iss. 1
Closed Access | Times Cited: 2
Abdominal Imaging in the Coming Decades: Better, Faster, Safer, and Cheaper?
Perry J. Pickhardt
Radiology (2023) Vol. 307, Iss. 1
Closed Access | Times Cited: 2
Intelligent Diagnosis of Non-alcoholic Fatty Liver Disease Based on Multi-modal Ultrasound Features
Gangqiao Xie, Yong-Sheng Xia, Shun‐Ping Chen, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2023), pp. 1-4
Closed Access | Times Cited: 2
Multiparametric Ultrasound for Chronic Liver Disease
R. Graham Barr
Radiologic Clinics of North America (2024) Vol. 63, Iss. 1, pp. 13-28
Closed Access
Assessing Quality of Ultrasound Attenuation Coefficient Results for Liver Fat Quantification
Giovanna Ferraioli, Laura Maiocchi, R. Graham Barr, et al.
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2171-2171
Open Access
Development of a Deep Learning Model for Classification of Hepatic Steatosis from Clinical Standard Ultrasound
Ahmed El Kaffas, Krishna Chaitanya Bhatraju, Jenny M. Vo-Phamhi, et al.
Ultrasound in Medicine & Biology (2024)
Open Access
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