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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.

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Showing 12 citing articles:

Liver diseases and hepatocellular carcinoma in the Asia-Pacific region: burden, trends, challenges and future directions
Lung‐Yi Mak, Ken Liu, Sakkarin Chirapongsathorn, et al.
Nature Reviews Gastroenterology & Hepatology (2024) Vol. 21, Iss. 12, pp. 834-851
Closed Access | Times Cited: 24
Is it underestimated or overestimated?
Zhiqiang He, Xuerui Tan
EClinicalMedicine (2025) Vol. 81, pp. 103117-103117
Open Access | Times Cited: 1
Application of Machine Learning to Predict the Fluoride Removal Capability of MgO
Lin Fan, Dexi Wang, Honglei Yu, et al.
Journal of environmental chemical engineering (2025) Vol. 13, Iss. 1, pp. 115317-115317
Closed Access
Corrigendum for “Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study”
Fajuan Rui, Jie Li
EClinicalMedicine (2025) Vol. 81, pp. 103119-103119
Open Access
A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications
Matthew Wiens, Alissa Verone‐Boyle, Nick Henscheid, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 3
Open Access
An interpretable machine learning model based on optimal feature selection for identifying CT abnormalities in patients with mild traumatic brain injury
Yuling Pan, Mengqi Wei, Mengyuan Jin, et al.
EClinicalMedicine (2025) Vol. 82, pp. 103192-103192
Open Access
Concerns regarding “Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study”
Zhi Geng, Guoqin Chen, Ling Wei, et al.
EClinicalMedicine (2024) Vol. 78, pp. 102907-102907
Closed Access | Times Cited: 1
Pred-AHCP: Robust feature selection enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
Akash Saraswat, Utsav Sharma, Aryan Gandotra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A novel model based on serum N‐glycan markers for evaluating stage of liver necroinflammation in treatment‐naïve chronic hepatitis B patients
Rui Su, Lihua Yan, Bei Jiang, et al.
Journal of Medical Virology (2024) Vol. 96, Iss. 8
Open Access
Pred-AHCP: Robust Feature Selection-Enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
Akash Saraswat, Utsav Sharma, Aryan Gandotra, et al.
Journal of Chemical Information and Modeling (2024)
Open Access
Authors’ reply to: Concerns Regarding “Development of a machine learning-based model to predict hepatic inflammation in chronic hepatitis B patients with concurrent hepatic steatosis: a cohort study”
Fajuan Rui, Yee Hui Yeo, Xiaorong Tian, et al.
EClinicalMedicine (2024) Vol. 78, pp. 102908-102908
Closed Access
Optimizing carbon source addition to control surplus sludge yield via machine learning-based interpretable ensemble model
Bowen Li, Li Liu, Zikang Xu, et al.
Environmental Research (2024), pp. 120653-120653
Closed Access
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