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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:

Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis
Jun Miyoshi, Tsubasa Maeda, Katsuyoshi Matsuoka, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

Artificial intelligence in inflammatory bowel disease: implications for clinical practice and future directions
Harris A. Ahmad, James E. East, Remo Panaccione, et al.
Intestinal Research (2023) Vol. 21, Iss. 3, pp. 283-294
Open Access | Times Cited: 17
Predictive, preventive and personalised approach as a conceptual and technological innovation in primary and secondary care of inflammatory bowel disease benefiting affected individuals and populations
Laura Arosa, Miguel Camba-Gómez, Olga Golubnitschaja, et al.
The EPMA Journal (2024) Vol. 15, Iss. 1, pp. 111-123
Open Access | Times Cited: 6
Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis
Hiromu Morikubo, Ryuta Tojima, Tsubasa Maeda, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Recent Advances in Molecular Targeted Therapy for Inflammatory Bowel Disease
Tadakazu Hisamatsu, Jun Miyoshi, Minoru Matsuura
Internal Medicine (2025)
Open Access
How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease
Anna L. Silverman, Dennis Shung, Ryan W. Stidham, et al.
Clinical Gastroenterology and Hepatology (2024) Vol. 23, Iss. 3, pp. 428-439.e4
Closed Access | Times Cited: 3
The Role of Artificial Intelligence in the Diagnosis and Treatment of Ulcerative Colitis
Petar Uchikov, Usman Khalid, Nikola Vankov, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 1004-1004
Open Access | Times Cited: 2
A stacking ensemble machine learning model to predict alpha-1 antitrypsin deficiency-associated liver disease clinical outcomes based on UK Biobank data
Linxi Meng, Will Treem, Graham Heap, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari, Oussama Abderrahmane Dambri, Yaser Baseri, et al.
(2024)
Open Access | Times Cited: 1
Artificial intelligence and machine learning technologies in ulcerative colitis
Chiraag Kulkarni, Xiaohu Liu, Touran Fardeen, et al.
Therapeutic Advances in Gastroenterology (2024) Vol. 17
Open Access | Times Cited: 1
Histological, But Neither Clinical Nor Endoscopic Activity Predicts the Risk of Colectomy in Patients With Ulcerative Colitis Treated With Biologics
Mirabella Zhao, Lene Riis, Bobby Lo, et al.
Inflammatory Bowel Diseases (2024)
Closed Access | Times Cited: 1
Predictive models for endoscopic disease activity in patients with ulcerative colitis: Practical machine learning-based modeling and interpretation
Xiaojun Li, Lamei Yan, Xuehong Wang, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 4
Machine Learning for Predicting Biologic Agent Efficacy in Ulcerative Colitis: An Analysis for Generalizability and Combination with Computational Models
Philippe Pinton
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1324-1324
Open Access
Precision medicine: Externally validated explainable AI support tool for predicting sustainability of infliximab and vedolizumab in ulcerative colitis
Tom Konikoff, Nadav Loebl, Henit Yanai, et al.
Digestive and Liver Disease (2024) Vol. 56, Iss. 12, pp. 2069-2076
Closed Access
Prediction of vedolizumab treatment outcomes by machine learning
Philippe Pinton
Journal of Biopharmaceutical Statistics (2022) Vol. 32, Iss. 5, pp. 802-804
Closed Access | Times Cited: 2
Response to letter to editor
Jingjing Chen, Krisztina Kisfalvi, Manon Girard, et al.
Journal of Biopharmaceutical Statistics (2022) Vol. 32, Iss. 5, pp. 805-806
Closed Access | Times Cited: 1
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