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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 in liver diseases: Improving diagnostics, prognostics and response prediction
David Nam, Julius Chapiro, Valérie Paradis, et al.
JHEP Reports (2022) Vol. 4, Iss. 4, pp. 100443-100443
Open Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
Artem Shmatko, Narmin Ghaffari Laleh, Moritz Gerstung, et al.
Nature Cancer (2022) Vol. 3, Iss. 9, pp. 1026-1038
Closed Access | Times Cited: 251
A researcher’s guide to preclinical mouse NASH models
Suchira Gallage, Jose Efren Barragan Avila, Pierluigi Ramadori, et al.
Nature Metabolism (2022) Vol. 4, Iss. 12, pp. 1632-1649
Closed Access | Times Cited: 107
Artificial intelligence to identify genetic alterations in conventional histopathology
Didem Çifçi, Sebastian Foersch, Jakob Nikolas Kather
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 430-444
Open Access | Times Cited: 88
Artificial intelligence and obesity management: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2023
Harold Bays, Angela Fitch, Suzanne Cuda, et al.
Obesity Pillars (2023) Vol. 6, pp. 100065-100065
Open Access | Times Cited: 69
Emerging role of molecular diagnosis and personalized therapy for hepatocellular carcinoma
Ming-Da Wang, Yong‐Kang Diao, Lan‐Qing Yao, et al.
iLiver (2024) Vol. 3, Iss. 1, pp. 100083-100083
Open Access | Times Cited: 16
Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinoma
Zhiyuan Bo, Jiatao Song, Qikuan He, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108337-108337
Open Access | Times Cited: 16
Advances in the understanding and therapeutic manipulation of cancer immune responsiveness: a Society for Immunotherapy of Cancer (SITC) review
Alessandra Cesano, Ryan C. Augustin, Luigi Barrea, et al.
Journal for ImmunoTherapy of Cancer (2025) Vol. 13, Iss. 1, pp. e008876-e008876
Open Access | Times Cited: 2
Development and validation of machine learning models for MASLD: based on multiple potential screening indicators
Hao Chen, Jingjing Zhang, Xueqin Chen, et al.
Frontiers in Endocrinology (2025) Vol. 15
Open Access | Times Cited: 2
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, Daniel Truhn, Gregory P. Veldhuizen, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 63
Clinical relevance of biomarkers in cholangiocarcinoma: critical revision and future directions
Rocı́o I.R. Macı́as, Vincenzo Cardinale, Timothy J. Kendall, et al.
Gut (2022), pp. gutjnl-327099
Open Access | Times Cited: 52
Artificial intelligence-assisted digital pathology for non-alcoholic steatohepatitis: current status and future directions
Vlad Ratziu, Marcus Hompesch, Mathieu Petitjean, et al.
Journal of Hepatology (2023) Vol. 80, Iss. 2, pp. 335-351
Open Access | Times Cited: 38
MRI‐Based Radiomics and Deep Learning in Biological Characteristics and Prognosis of Hepatocellular Carcinoma: Opportunities and Challenges
Tianyi Xia, Ben Y. Zhao, Binrong Li, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 3, pp. 767-783
Open Access | Times Cited: 37
The Role of Artificial Intelligence in the Detection and Implementation of Biomarkers for Hepatocellular Carcinoma: Outlook and Opportunities
Arian Mansur, Andrea Vrionis, Jonathan Charles, et al.
Cancers (2023) Vol. 15, Iss. 11, pp. 2928-2928
Open Access | Times Cited: 26
Artificial intelligence in liver cancer — new tools for research and patient management
Julien Caldéraro, Laura Žigutytė, Daniel Truhn, et al.
Nature Reviews Gastroenterology & Hepatology (2024) Vol. 21, Iss. 8, pp. 585-599
Closed Access | Times Cited: 12
Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Liver macrophages revisited: The expanding universe of versatile responses in a spatiotemporal context
Adrien Guillot, Frank Tacke
Hepatology Communications (2024) Vol. 8, Iss. 7
Open Access | Times Cited: 9
Aptasensor‐based point‐of‐care detection of cardiac troponin biomarkers for diagnosis of acute myocardial infarction
Vairaperumal Tharmaraj, Ping‐Yen Liu
The Kaohsiung Journal of Medical Sciences (2025)
Open Access | Times Cited: 1
Assessment of ChatGPT-generated medical Arabic responses for patients with metabolic dysfunction–associated steatotic liver disease
Saleh A. Alqahtani, Reem AlAhmed, Waleed S. AlOmaim, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0317929-e0317929
Open Access | Times Cited: 1
Noninvasive imaging biomarkers for liver fibrosis in nonalcoholic fatty liver disease: current and future
Jung Hwan Yu, Yong Sang Lee, Seung Up Kim
Clinical and Molecular Hepatology (2022) Vol. 29, Iss. Suppl, pp. S136-S149
Open Access | Times Cited: 33
Artificial Intelligence Applications in Hepatology
Jörn M. Schattenberg, Naga Chalasani, Naim Alkhouri
Clinical Gastroenterology and Hepatology (2023) Vol. 21, Iss. 8, pp. 2015-2025
Open Access | Times Cited: 22
A Survey of Deep Learning for Alzheimer’s Disease
Qinghua Zhou, Jiaji Wang, Xiang Yu, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 611-668
Open Access | Times Cited: 22
Artificial Intelligence and liver: Opportunities and barriers
Clara Balsano, Patrizia Burra, Christophe Duvoux, et al.
Digestive and Liver Disease (2023) Vol. 55, Iss. 11, pp. 1455-1461
Open Access | Times Cited: 17
The future of artificial intelligence in digital pathology – results of a survey across stakeholder groups
Céline N. Heinz, Amelie Echle, Sebastian Foersch, et al.
Histopathology (2022) Vol. 80, Iss. 7, pp. 1121-1127
Open Access | Times Cited: 26
Deep learning-based quantification of NAFLD/NASH progression in human liver biopsies
Fabian Heinemann, Peter Groß, Svetlana Zeveleva, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Tumor biology and immune infiltration define primary liver cancer subsets linked to overall survival after immunotherapy
Anuradha Budhu, Erica C. Pehrsson, Aiwu Ruth He, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 6, pp. 101052-101052
Open Access | Times Cited: 15
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