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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:

An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B
Hwi Young Kim, Pietro Lampertico, Joon Yeul Nam, et al.
Journal of Hepatology (2021) Vol. 76, Iss. 2, pp. 311-318
Closed Access | Times Cited: 92

Showing 26-50 of 92 citing articles:

Machine learning models for predicting hepatocellular carcinoma development in patients with chronic viral hepatitis B infection
Warissara Kuaaroon, Thodsawit Tiyarattanachai, Terapap Apiparakoon, et al.
Asian Biomedicine (2025) Vol. 19, Iss. 1, pp. 51-59
Closed Access
Comparable outcomes between immune-tolerant and active phases in noncirrhotic chronic hepatitis B: a meta-analysis
Han Ah Lee, Seung Up Kim, Yeon Seok Seo, et al.
Hepatology Communications (2023) Vol. 7, Iss. 2, pp. e0011-e0011
Open Access | Times Cited: 10
Personalized Antiviral Drug Selection in Patients With Chronic Hepatitis B Using a Machine Learning Model: A Multinational Study
Moon Haeng Hur, Min Kyung Park, Terry Cheuk‐Fung Yip, et al.
The American Journal of Gastroenterology (2023) Vol. 118, Iss. 11, pp. 1963-1972
Closed Access | Times Cited: 10
Effectiveness of US Surveillance of Hepatocellular Carcinoma in Chronic Hepatitis B: US LI-RADS Visualization Score
Min Kyung Park, Dong Ho Lee, Bo Yun Hur, et al.
Radiology (2023) Vol. 307, Iss. 5
Closed Access | Times Cited: 10
A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B
Hye Won Lee, Hwiyoung Kim, T. K. Park, et al.
Liver International (2023) Vol. 43, Iss. 8, pp. 1813-1821
Closed Access | Times Cited: 10
Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma
Jingwei Wei, Hanyu Jiang, Yu Zhou, et al.
Digestive and Liver Disease (2023) Vol. 55, Iss. 7, pp. 833-847
Closed Access | Times Cited: 9
Exploration of the intelligent-auxiliary design of architectural space using artificial intelligence model
Hongyu Li, Qilong Wu, Bowen Xing, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282158-e0282158
Open Access | Times Cited: 9
Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN‐LSTM model
K. P. Arjun, K. Sampath Kumar, Rajesh Kumar Dhanaraj, et al.
Microscopy Research and Technique (2024) Vol. 87, Iss. 8, pp. 1789-1809
Closed Access | Times Cited: 3
Prognostic significance of dynamic changes in liver stiffness measurement in patients with chronic hepatitis B and compensated advanced chronic liver disease
Hongsheng Yu, Yinan Huang, Mingkai Li, et al.
Journal of Gastroenterology and Hepatology (2024) Vol. 39, Iss. 10, pp. 2169-2181
Closed Access | Times Cited: 3
Development and validation of artificial intelligence models to predict urinary tract infections and secondary bloodstream infections in adult patients
Min Hyuk Choi, Dokyun Kim, Yongjung Park, et al.
Journal of Infection and Public Health (2023) Vol. 17, Iss. 1, pp. 10-17
Open Access | Times Cited: 8
Surveillance for Hepatocellular Carcinoma in Patients with Successfully Treated Viral Disease of the Liver: A Systematic Review
Lorenzo Lani, Benedetta Stefanini, Franco Trevisani
Liver Cancer (2024) Vol. 13, Iss. 4, pp. 376-388
Open Access | Times Cited: 2
Development and Validation of a PIVKA‐II‐Based Model for HCC Risk Stratification in Patients With HCV‐Related Cirrhosis Successfully Treated With DAA
Gian Paolo Caviglia, Piero Fariselli, Roberta D’Ambrosio, et al.
Alimentary Pharmacology & Therapeutics (2024)
Open Access | Times Cited: 2
Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database
Haosheng Wang, Yangyang Ou, Tingting Fan, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 13
The future of hepatology – “The best way to predict the future is to create it”
Thomas Berg, Aleksander Krag
Journal of Hepatology (2023) Vol. 79, Iss. 2, pp. 253-260
Closed Access | Times Cited: 5
Prediction model of hepatitis B virus-related hepatocellular carcinoma in patients receiving antiviral therapy
Beom Kyung Kim, Sang Hoon Ahn
Journal of the Formosan Medical Association (2023) Vol. 122, Iss. 12, pp. 1238-1246
Open Access | Times Cited: 5
The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review
Shuaitong Zhang, Wei Mu, Di Dong, et al.
Health Data Science (2022) Vol. 3
Open Access | Times Cited: 8
The role of artificial intelligence in hepatology research and practice
Ali Khalifa, Jihad S. Obeid, Jason Erno, et al.
Current Opinion in Gastroenterology (2023) Vol. 39, Iss. 3, pp. 175-180
Closed Access | Times Cited: 4
Hepatocellular Carcinoma Risk Scores from Modeling to Real Clinical Practice in Areas Highly Endemic for Hepatitis B Infection
Xin Hao, Rong Fan, Hongmei Zeng, et al.
Journal of Clinical and Translational Hepatology (2023) Vol. 11, Iss. 7, pp. 1508-1519
Open Access | Times Cited: 4
Investigating the Promising Anticancer Activity of Cetuximab and Fenbendazole Combination as Dual CBS and VEGFR‐2 Inhibitors and Endowed with Apoptotic Potential
Norhan Eid, Ahmed A. Al‐Karmalawy, Taha M. A. Eldebss, et al.
Chemistry & Biodiversity (2024) Vol. 21, Iss. 4
Closed Access | Times Cited: 1
Toward hepatitis C virus elimination using artificial intelligence
Moon Haeng Hur, Jeong‐Hoon Lee
Clinical and Molecular Hepatology (2024) Vol. 30, Iss. 2, pp. 147-149
Open Access | Times Cited: 1
Role of artificial intelligence in the management of chronic hepatitis B infection
Tung‐Hung Su, Jia‐Horng Kao
Clinical Liver Disease (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 1
External validation of models to predict hepatocellular carcinoma in Hepatitis C Virus cured F3‐F4 patients
Ângela Carvalho‐Gomes, Tsveta Vladi Valcheva Valcheva, Iván Sahuco, et al.
United European Gastroenterology Journal (2024) Vol. 12, Iss. 7, pp. 901-910
Open Access | Times Cited: 1
Correspondence to editorial on “Hepatocellular carcinoma prediction model performance decreases with long-term antiviral therapy in chronic hepatitis B patients”
Xiaoqian Xu, Hong You, Jia Ji-dong, et al.
Clinical and Molecular Hepatology (2024) Vol. 30, Iss. 4, pp. 994-996
Open Access | Times Cited: 1
Point-based risk score for the risk stratification and prediction of hepatocellular carcinoma: a population-based random survival forest modeling study
Zhenqiu Liu, Huangbo Yuan, Chen Suo, et al.
EClinicalMedicine (2024) Vol. 75, pp. 102796-102796
Open Access | Times Cited: 1
Risk Factors for Early Recurrence After Radical Resection of Hepatocellular Carcinoma Based on Preoperative Contrast-Enhanced Ultrasound and Clinical Features
Kunpeng Cao, Liuxi Wu, Xinyue Wang, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 1

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