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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 classifiers for screening nonalcoholic fatty liver disease in general adults
Shenghua Qin, Xiaomin Hou, Yuan Wen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

Interpretable Liver Fibrosis Classification Using 1D-CNN
S. Navaneetha Krishnan, R. Jothi
Communications in computer and information science (2025), pp. 328-345
Closed Access
Identification of Severity in Non-Alcoholic Fatty Liver Disease Using Machine Learning Algorithms
Koteswara Rao Makkena, Karthika Natarajan
Algorithms for intelligent systems (2025), pp. 179-197
Closed Access
Mitochondrial mt12361A>G increased risk of metabolic dysfunction-associated steatotic liver disease among non-diabetes
Ming‐Ying Lu, Yu‐Ju Wei, Chih‐Wen Wang, et al.
World Journal of Gastroenterology (2025) Vol. 31, Iss. 10
Closed Access
Effects of intermittent fasting regimens on glycemic, hepatic, anthropometric, and clinical markers in patients with non-alcoholic fatty liver disease: Systematic review and meta-analysis of randomized controlled trials
Saleh A. K. Saleh, Heitor O. Santos, Mihnea‐Alexandru Găman, et al.
Clinical Nutrition ESPEN (2023) Vol. 59, pp. 70-80
Closed Access | Times Cited: 10
Validation of a screening panel for pediatric metabolic dysfunction–associated steatotic liver disease using metabolomics
Helaina Huneault, A. Gent, Catherine C. Cohen, et al.
Hepatology Communications (2024) Vol. 8, Iss. 3
Open Access | Times Cited: 3
A dynamic machine learning model for prediction of NAFLD in a health checkup population: A longitudinal study
Yuhan Deng, Yuan Ma, Jingzhu Fu, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18758-e18758
Open Access | Times Cited: 6
Characterization of gut microbiome composition in Iranian patients with nonalcoholic fatty liver disease and nonalcoholic steatohepatitis
Sara Abdollahiyan, Ali Nabavi-Rad, Shahrbanoo Keshavarz Azizi Raftar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Automated machine learning models for nonalcoholic fatty liver disease assessed by controlled attenuation parameter from the NHANES 2017–2020
Lihe Liu, Jiaxi Lin, Lu Liu, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 1
Metabolic dysfunction-associated steatotic liver disease: The question of long-term high-normal alanine aminotransferase as a screening test
Terence Moyana
World Journal of Gastroenterology (2024) Vol. 30, Iss. 42, pp. 4576-4582
Closed Access | Times Cited: 1
AI-Powered Automated Methods for Predicting Liver Disease: A Recent Review
Jayashree Patil, Shwetambari Chiwhane
Communications in computer and information science (2024), pp. 161-172
Closed Access
Artificial intelligence-powered precision: Unveiling the landscape of liver disease diagnosis—A comprehensive review
Satya Gautam Vadlamudi, Vimal Kumar, Debjani Ghosh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109452-109452
Closed Access
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