OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices
Farkhondeh Razmpour, Reza Daryabeygi‐Khotbehsara, Davood Soleimani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14

Showing 14 citing articles:

Potential alternative and novel biomarkers for paediatric MAFLD: exploratory evidence from a Chinese cohort
Fan Yang, Mengyuan Hu, Lulian Xu, et al.
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access

Omics-based biomarkers as useful tools in metabolic dysfunction-associated steatotic liver disease clinical practice: How far are we?
Julieta Trinks, María Florencia Mascardi, Adrián Gadano, et al.
World Journal of Gastroenterology (2024) Vol. 30, Iss. 14, pp. 1982-1989
Open Access | Times Cited: 3

Exploring non-invasive diagnostics for metabolic dysfunction-associated fatty liver disease
Biao Qu, Zheng Li
World Journal of Gastroenterology (2024) Vol. 30, Iss. 28, pp. 3447-3451
Open Access | Times Cited: 3

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023)
Hamed Zamanian, Ahmad Shalbaf, Mohammad Reza Zali, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107932-107932
Closed Access | Times Cited: 8

Diagnosis of Liver Disease Using ANN and ML Algorithms with Hyperparameter Tuning
Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao
(2024), pp. 629-634
Closed Access | Times Cited: 2

Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators
Fatemeh Masaebi, Mehdi Azizmohammad Looha, Morteza Mohammadzadeh, et al.
Archives of Iranian Medicine (2024) Vol. 27, Iss. 10, pp. 551-562
Closed Access | Times Cited: 1

Accurate prediction of all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease using electronic health records
Ignat Drozdov, Benjamin Szubert, Ian Rowe, et al.
Annals of Hepatology (2024) Vol. 29, Iss. 5, pp. 101528-101528
Open Access

Predictive Modeling for Mortality Risk in Nonalcoholic Fatty Liver Disease Patients: A Machine Learning Approach
Anandarupa Neogi, Anubhav Jaiswal, Ankush Kumar, et al.
(2024), pp. 1-6
Closed Access

Different aspects of immunological profile in patients with Non-Alcoholic Fatty liver disease
Heba Ahmed Osman, Mohammed Tag‐Adeen, Usama M. Abdelaal, et al.
Acta Gastro Enterologica Belgica (2024) Vol. 87, Iss. 2, pp. 274-281
Closed Access

Fatty liver index as an independent predictor of all-cause and disease-specific mortality
Ruixin Zhang, Shuhao Ren, Hongfei Mi, et al.
European Journal of Gastroenterology & Hepatology (2024) Vol. 36, Iss. 12, pp. 1453-1463
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

Body composition differences in patients with Metabolic Dysfunction-Associated Steatotic Liver Disease
Karen D. Bernal-Contreras, Montserrat Berrospe-Alfaro, Regina López de Cárdenas-Rojo, et al.
Frontiers in Nutrition (2024) Vol. 11
Open Access

Application of the Chinese Visceral Adiposity Index in the Diagnosis of Hepatic Steatosis and Liver Fibrosis: A Cross-Sectional Study
Ayoub Basham, Shideh Rafati, Saeed Hosseini Teshnizi, et al.
Hepatitis Monthly (2024) Vol. 23, Iss. 1
Open Access

Comprehensive Study of Liver Disease Prediction using Machine Learning
Vu-An Hoang, Duy-Tung Nguyen, Hanh-Trang Bui, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1

Page 1

Scroll to top