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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:

Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data
Yu Wang, Hong Yu, Yue Wang, et al.
Journal of Digital Imaging (2022) Vol. 36, Iss. 1, pp. 326-338
Closed Access | Times Cited: 18

Showing 18 citing articles:

Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning
Minyue Yin, Jiaxi Lin, Yu Wang, et al.
International Journal of Medical Informatics (2024) Vol. 184, pp. 105341-105341
Open Access | Times Cited: 9
Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis
Sheza Malik, Bettina Gabrielle Tenorio, Vishali Moond, et al.
Journal of Gastroenterology and Hepatology (2024) Vol. 39, Iss. 10, pp. 2043-2059
Open Access | Times Cited: 4
Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers
Kesheng Wang, Donald Adjeroh, Wei Fang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 6, pp. 2428-2428
Open Access
Visualizing global progress and challenges in esophagogastric variceal bleeding
Dexin Wang, Xuejie Wu, Jinzhong Yu, et al.
World Journal of Gastrointestinal Surgery (2025) Vol. 17, Iss. 4
Closed Access
Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology
Siyi Feng, Zee Pin Ding, Jin Cheng, et al.
World Journal of Gastroenterology (2025) Vol. 31, Iss. 13
Closed Access
Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's disease
Kesheng Wang, Laurie A. Theeke, Christopher Liao, et al.
Journal of the Neurological Sciences (2023) Vol. 453, pp. 120812-120812
Open Access | Times Cited: 9
Liver Cirrhosis and Portal Hypertension
Dinesh Jothimani, Mohamed Rela, Patrick S. Kamath
Medical Clinics of North America (2023) Vol. 107, Iss. 3, pp. 491-504
Closed Access | Times Cited: 8
Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework
Jiaxi Lin, Shiqi Zhu, Minyue Yin, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26559-e26559
Open Access | Times Cited: 2
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: 2
A few-shot learning framework for the diagnosis of osteopenia and osteoporosis using knee X-ray images
Hua Xie, Chenqi Gu, Wenchao Zhang, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 9
Open Access | Times Cited: 2
Applications of Artificial Intelligence-Based Systems in the Management of Esophageal Varices
Vlad Dumitru Brata, Victor Incze, Abdulrahman Ismaiel, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 9, pp. 1012-1012
Open Access | Times Cited: 2
Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A
Di Ai, Chang Cui, Yongqiang Tang, et al.
Thrombosis Research (2023) Vol. 232, pp. 43-53
Closed Access | Times Cited: 5
High-Speed and Accurate Diagnosis of Gastrointestinal Disease: Learning on Endoscopy Images Using Lightweight Transformer with Local Feature Attention
Shibin Wu, Ruxin Zhang, Jiayi Yan, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1416-1416
Open Access | Times Cited: 4
A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification
Yu Wang, Haoxiang Ni, Jielu Zhou, et al.
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2342-2353
Open Access | Times Cited: 1
Predictive value of blood coagulation and routine blood indices for rebleeding after endoscopic treatment in hepatitis B-related cirrhotic patients with esophagogastric fundal varices: a logistic regression model analysis
Liya Xu, Pengbin Wang, Yan Pan, et al.
American Journal of Translational Research (2024) Vol. 16, Iss. 7, pp. 2982-2994
Open Access
Development and validation of deep learning models for bowel obstruction on plain abdominal radiograph
Yao Li, Shiqi Zhu, Yu Wang, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 9
Open Access
Esophageal Varices Detection and Bleeding Risk Assessment with Artificial Intelligence: A Systematic Review
Rahul Ramakrishnan, Kevin Kuang, Vijay Rajput, et al.
iGIE (2024)
Open Access
Multi-modal Machine Learning in Gastrointestinal Endoscopy: A Review
In Neng Chan, Pak Kin Wong, Tao Yan, et al.
(2024), pp. 10-17
Closed Access
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