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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:

Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review
Fahad Muflih Alshagathrh, Mowafa Househ
Bioengineering (2022) Vol. 9, Iss. 12, pp. 748-748
Open Access | Times Cited: 21

Showing 21 citing articles:

STSN-Net: Simultaneous Tooth Segmentation and Numbering Method in Crowded Environments with Deep Learning
Shaofeng Wang, Shuang Liang, Qiao Chang, et al.
Diagnostics (2024) Vol. 14, Iss. 5, pp. 497-497
Open Access | Times Cited: 5
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
Machine Learning for Biomedical Applications
Giuseppe Cesarelli, Alfonso Maria Ponsiglione, Mario Sansone, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 790-790
Open Access | Times Cited: 4
Diagnostic Accuracy of Convolutional Neural Networks in Classifying Hepatic Steatosis from B-Mode Ultrasound Images: A Systematic Review with Meta-Analysis and Novel Validation in a Community Setting in South India
A B Jagadeesh, Chanchanok Aramrat, Santosh Rai, et al.
(2025)
Closed Access
Large-scale identification of undiagnosed hepatic steatosis using natural language processing
Carolin V. Schneider, Tang Li, David Zhang, et al.
EClinicalMedicine (2023) Vol. 62, pp. 102149-102149
Open Access | Times Cited: 10
Artificial Intelligence for Personalized Genetics and New Drug Development: Benefits and Cautions
Crescenzio Gallo
Bioengineering (2023) Vol. 10, Iss. 5, pp. 613-613
Open Access | Times Cited: 5
Artificial Intelligence and Image Analysis-Assisted Diagnosis for Fibrosis Stage of Metabolic Dysfunction-Associated Steatotic Liver Disease Using Ultrasonography: A Pilot Study
Isao Fujii, Naoki Matsumoto, Masahiro Ogawa, et al.
Diagnostics (2024) Vol. 14, Iss. 22, pp. 2585-2585
Open Access | Times Cited: 1
Prognostic Modeling for Liver Cirrhosis Mortality Prediction and Real-Time Health Monitoring from Electronic Health Data
Chengping Zhang, Muhammad Faisal Buland Iqbal, Imran Iqbal, et al.
Big Data (2024)
Closed Access | Times Cited: 1
Advances in diagnostic ultrasound techniques for assessing liver steatosis in nonalcoholic fatty liver disease
Zhaoxin Wang, Yarong Ma, Xiaolei Wu, et al.
iLiver (2023) Vol. 2, Iss. 4, pp. 214-218
Open Access | Times Cited: 3
Fatty liver classification via risk controlled neural networks trained on grouped ultrasound image data
Tso-Jung Yen, Chih-Ting Yang, Yi‐Ju Lee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Update on Imaging-based Noninvasive Methods for Assessing Hepatic Steatosis in Nonalcoholic Fatty Liver Disease
Chia‐Chien Kang, Tsang-En Wang, Chia‐Yuan Liu, et al.
Journal of Medical Ultrasound (2024) Vol. 32, Iss. 2, pp. 116-120
Open Access
Multiparametric quantification and visualization of liver fat using ultrasound
Jihye Baek, Ahmed El Kaffas, Aya Kamaya, et al.
WFUMB Ultrasound Open (2024) Vol. 2, Iss. 1, pp. 100045-100045
Open Access
Hybrid Deep Learning and Machine Learning for Detecting Hepatocyte Ballooning in Liver Ultrasound Images
Fahad Muflih Alshagathrh, Mahmood Alzubaidi, Samuel Gecík, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2646-2646
Open Access
Large Annotated Ultrasound Dataset of Non-Alcoholic Fatty Liver from Saudi Hospitals for Analysis and Applications.
Fahad Alshagathrh, Mahmood Alzubaidi, Khalid Alswat, et al.
Data in Brief (2024) Vol. 58, pp. 111266-111266
Open Access
The global research of artificial intelligence on metabolic dysfunction-associated fatty liver disease: a bibliometric analysis (Preprint)
Yumei Huang, Mengpei Zhu, Ziwen Wang, et al.
(2023)
Closed Access | Times Cited: 1
Artificial intelligence in gastroenterology and hepatology
Joseph Ahn, Vijay H. Shah
Elsevier eBooks (2023), pp. 443-464
Closed Access | Times Cited: 1
Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study
Fahad Muflih Alshagathrh, Saleh Musleh, Mahmood Alzubaidi, et al.
Traitement du signal (2023) Vol. 40, Iss. 5, pp. 1781-1794
Open Access | Times Cited: 1
Artificial Intelligence (AI)-Enhanced Ultrasound Techniques Used in Non-Alcoholic Fatty Liver Disease: Are They Ready for Prime Time?
Elena Codruța Gheorghe, Carmen Nicolau, Adina Maria Kamal, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5080-5080
Open Access
Advancing AI-assisted US Screening for Fatty Liver
Theresa Tuthill
Radiology (2023) Vol. 309, Iss. 1
Closed Access
Steatosis Quantification on Ultrasound Images by a Deep Learning Algorithm on Patients Undergoing Weight Changes
Adam P. Harrison, Bowen Li, Tse-Hwa Hsu, et al.
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3225-3225
Open Access
Hepatocellular Carcinoma Diagnosis Based on Ultrasound Images Using Feature Selection Techniques and K-nearest Neighbor Classifier
Fatemeh Azimi Nanvaee, Saeed Setayeshi
Hepatitis Monthly (2023) Vol. 23, Iss. 1
Open Access
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