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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:

Gut microbiome-based supervised machine learning for clinical diagnosis of inflammatory bowel diseases
Ishan Manandhar, Ahmad Alimadadi, Sachin Aryal, et al.
AJP Gastrointestinal and Liver Physiology (2021) Vol. 320, Iss. 3, pp. G328-G337
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples
Rubén López-Aladid, Laia Fernández‐Barat, Victoria Alcaraz-Serrano, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 51
Synergizing Artificial Intelligence and Probiotics: A Comprehensive Review of Emerging Applications in Health Promotion and Industrial Innovation
Xin Han, Q. D. Liu, Yun Li, et al.
Trends in Food Science & Technology (2025), pp. 104938-104938
Closed Access | Times Cited: 3
Artificial intelligence and inflammatory bowel disease: Where are we going?
Leonardo Da Rio, Marco Spadaccini, Tommaso Lorenzo Parigi, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 3, pp. 508-520
Open Access | Times Cited: 37
Machine learning application in autoimmune diseases: State of art and future prospectives
Maria Giovanna Danieli, Silvia Brunetto, Luca Gammeri, et al.
Autoimmunity Reviews (2023) Vol. 23, Iss. 2, pp. 103496-103496
Open Access | Times Cited: 23
Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention
Mohammad Abavisani, Alireza Khoshrou, Sobhan Karbas Foroushan, et al.
Current Research in Biotechnology (2024) Vol. 7, pp. 100211-100211
Open Access | Times Cited: 16
The interaction between gut microbiome and bone health
Francesco Inchingolo, Angelo Michele Inchingolo, Fabio Piras, et al.
Current Opinion in Endocrinology Diabetes and Obesity (2024) Vol. 31, Iss. 3, pp. 122-130
Open Access | Times Cited: 14
Predicting short-term major postoperative complications in intestinal resection for Crohn’s disease: A machine learning-based study
Fang‐Tao Wang, Lin Yin, Xiaoqi Yuan, et al.
World Journal of Gastrointestinal Surgery (2024) Vol. 16, Iss. 3, pp. 717-730
Open Access | Times Cited: 9
Exploring the Gut Microbiome’s Role in Inflammatory Bowel Disease: Insights and Interventions
Despoina Gyriki, Christos Nikolaidis, Elisavet Stavropoulou, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 5, pp. 507-507
Open Access | Times Cited: 9
Artificial intelligence and human microbiome: A brief narrative review
D.C. Fonseca, Gabriel da Rocha Fernandes, Dan Linetzky Waitzberg
Clinical Nutrition Open Science (2025) Vol. 59, pp. 134-142
Closed Access | Times Cited: 1
Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning
Xavier Chavarría, Hyun Seo Park, Singeun Oh, et al.
Microbial Genomics (2025) Vol. 11, Iss. 3
Open Access | Times Cited: 1
Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study
David Liu, Jake Sawyer, Alexander Luna, et al.
JMIR Medical Education (2022) Vol. 8, Iss. 4, pp. e38325-e38325
Open Access | Times Cited: 36
A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation
Imogen S. Stafford, Mark Gosink, Enrico Mossotto, et al.
Inflammatory Bowel Diseases (2022) Vol. 28, Iss. 10, pp. 1573-1583
Open Access | Times Cited: 29
Diagnostic Procedures for Inflammatory Bowel Disease: Laboratory, Endoscopy, Pathology, Imaging, and Beyond
Seung Min Hong, Dong Hoon Baek
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1384-1384
Open Access | Times Cited: 8
Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges
Ebenezer Afrifa‐Yamoah, Eric Adua, Emmanuel Peprah‐Yamoah, et al.
Chronic Diseases and Translational Medicine (2024) Vol. 11, Iss. 1, pp. 1-21
Open Access | Times Cited: 7
Gut microbiota-based machine-learning signature for the diagnosis of alcohol-associated and metabolic dysfunction-associated steatotic liver disease
In-gyu Park, Sang Jun Yoon, Sung‐Min Won, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
The role of gut microbiome in inflammatory bowel disease diagnosis and prognosis
Jiaying Zheng, Qianru Sun, Jingwan Zhang, et al.
United European Gastroenterology Journal (2022) Vol. 10, Iss. 10, pp. 1091-1102
Open Access | Times Cited: 28
Methodology for biomarker discovery with reproducibility in microbiome data using machine learning
David Rojas-Velázquez, Sarah Kidwai, Aletta D. Kraneveld, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence
Anna Lucia Cannarozzi, Anna Latiano, Luca Massimino, et al.
United European Gastroenterology Journal (2024)
Open Access | Times Cited: 5
ECCO Topical Review on Clinicopathological Spectrum and Differential Diagnosis of Inflammatory Bowel Disease
Roger Feakins, Joana Torres, Paula Borralho, et al.
Journal of Crohn s and Colitis (2021) Vol. 16, Iss. 3, pp. 343-368
Open Access | Times Cited: 32
Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology
Chrysanthos D. Christou, Georgios Tsoulfas
World Journal of Gastroenterology (2021) Vol. 27, Iss. 37, pp. 6191-6223
Open Access | Times Cited: 31
Exploring the Predictive Value of Gut Microbiome Signatures for Therapy Intensification in Patients With Inflammatory Bowel Disease: A 10-Year Follow-up Study
Zainab M A Al Radi, Femke M. Prins, Valerie Collij, et al.
Inflammatory Bowel Diseases (2024) Vol. 30, Iss. 10, pp. 1642-1653
Open Access | Times Cited: 4
Machine Learning Prediction Model for Inflammatory Bowel Disease Based on Laboratory Markers. Working Model in a Discovery Cohort Study
Sebastian Kraszewski, W. Szczurek, Julia E. Szymczak, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 20, pp. 4745-4745
Open Access | Times Cited: 27
Potential Oral Microbial Markers for Differential Diagnosis of Crohn’s Disease and Ulcerative Colitis Using Machine Learning Models
Sang‐Bum Kang, Hyeonwoo Kim, Sangsoo Kim, et al.
Microorganisms (2023) Vol. 11, Iss. 7, pp. 1665-1665
Open Access | Times Cited: 10
Paradigm Shift in Inflammatory Bowel Disease Management: Precision Medicine, Artificial Intelligence, and Emerging Therapies
Antonio M.� Caballero-Mateos, Guillermo A. Cañadas‐De la Fuente, Beatriz Gros
Journal of Clinical Medicine (2025) Vol. 14, Iss. 5, pp. 1536-1536
Open Access
Operationalizing Team Science at the Academic Cancer Center Network to Unveil the Structure and Function of the Gut Microbiome
Kevin McDonnell
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 2040-2040
Open Access
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