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 approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters
Amir Reza Naderi Yaghouti, Hamed Zamanian, Ahmad Shalbaf
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Showing 7 citing articles:

Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach
Thomai Mouskeftara, Georgios Kalopitas, Theodoros Liapikos, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5965-5965
Open Access | Times Cited: 4

Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm
Prasannavenkatesan Theerthagiri
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107102-107102
Closed Access | Times Cited: 2

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

Surgical Implications for Nonalcoholic Steatohepatitis-Related Hepatocellular Carcinoma
Centura R. Anbarasu, Sophia Williams‐Perez, E. Ramsay Camp, et al.
Cancers (2024) Vol. 16, Iss. 16, pp. 2773-2773
Open Access

Proposal of a Machine Learning Model for the Early Detection of Depression in University Students
Silvia Flores Aguilar, Antony Huaman, Wilfredo Ticona
Lecture notes in networks and systems (2024), pp. 659-672
Closed Access

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