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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 and deep learning applications in microbiome research
Ricardo Hernández Medina, Svetlana Kutuzova, K Nielsen, et al.
ISME Communications (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

EasyAmplicon: An easy‐to‐use, open‐source, reproducible, and community‐based pipeline for amplicon data analysis in microbiome research
Yongxin Liu, Lei Chen, Tengfei Ma, et al.
iMeta (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 112
Effects of Probiotics on Gut Microbiota: An Overview
Preethi Chandrasekaran, Sabine Weiskirchen, Ralf Weiskirchen
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 6022-6022
Open Access | Times Cited: 24
Harnessing the plant microbiome for sustainable crop production
Stéphane Compant, Fabricio Cassán, Tanja Kostić, et al.
Nature Reviews Microbiology (2024)
Closed Access | Times Cited: 20
Broadening oncological boundaries: the intratumoral microbiota
Ying‐Qi Lu, Han Qiao, Xi-Rong Tan, et al.
Trends in Microbiology (2024) Vol. 32, Iss. 8, pp. 807-822
Open Access | Times Cited: 12
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 11
Evolving approaches to profiling the microbiome in skin disease
Yang Chen, Rob Knight, Richard L. Gallo
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 24
A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions
Bablu Kumar, Erika Lorusso, Bruno Fosso, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 10
A robust microbiome signature for autism spectrum disorder across different studies using machine learning
Lucía N. Peralta Marzal, David Rojas-Velázquez, Douwe Rigters, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
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: 9
Fast detection of bacterial gut pathogens on miniaturized devices: an overview
Grațiela Grădișteanu Pîrcălăbioru, Mina Răileanu, Mihai Viorel Dionisie, et al.
Expert Review of Molecular Diagnostics (2024) Vol. 24, Iss. 3, pp. 201-218
Open Access | Times Cited: 7
Implementation of artificial intelligence (AI) and machine learning (ML) in microbiology
Prashant Tripathi, Akanksha Srivastava, Chetan Kumar Dubey, et al.
Methods in microbiology (2024), pp. 29-41
Closed Access | Times Cited: 7
An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows
H.F. Monteiro, C.C. Figueiredo, B. Mion, et al.
Animal Microbiome (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 6
Agricultural practices influence soil microbiome assembly and interactions at different depths identified by machine learning
Yujie Mo, Raven L. Bier, Xiaolin Li, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
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
Recent advances in deep learning and language models for studying the microbiome
Binghao Yan, Yunbi Nam, Lingyao Li, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access
Deep learning-based differential gut flora for prediction of Parkinson’s
Bo Yu, Hang Zhang, Min Zhang
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0310005-e0310005
Open Access
Potential impacts of population aging and artificial intelligence on households, living arrangements and sustainable development
Fengyu Zhang, Jianxin Li, Jiehua Lu
China Population and Development Studies (2025)
Closed Access
PhyloMix: Enhancing microbiome-trait association prediction through phylogeny-mixing augmentation
Yifan Jiang, D. Joshua Liao, Qiyun Zhu, et al.
Bioinformatics (2025)
Open Access
Skin Microbiota: Mediator of Interactions Between Metabolic Disorders and Cutaneous Health and Disease
Magdalini Kreouzi, Nikolaos Theodorakis, Maria Nikolaou, et al.
Microorganisms (2025) Vol. 13, Iss. 1, pp. 161-161
Open Access
Mycobiota composition through the ripening of artisanal soft cheeses ‘Torta del Casar’ and ‘Queso de la Serena’ monitored by high-throughput sequencing
Almudena V. Merchán, Ángel Román, Santiago Ruíz-Moyano, et al.
Applied Food Research (2025), pp. 100711-100711
Open Access
Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review
Roberta Pace, Vincenzo Schiano Di Cola, Maurilia Maria Monti, et al.
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
Perspective: Multi-omics and Artificial Intelligence for Personalized Nutritional Management of Diabetes in Patients Undergoing Peritoneal Dialysis
Seyed Mohammad Mahdavi, Nicole M. Anthony, Tabo Sikaneta, et al.
Advances in Nutrition (2025), pp. 100378-100378
Open Access
Priority effects, nutrition and milk glycan-metabolic potential drive Bifidobacterium longum subspecies dynamics in the infant gut microbiome
Nicholas Pucci, Joanne Ujčič-Voortman, Arnoud P. Verhoeff, et al.
PeerJ (2025) Vol. 13, pp. e18602-e18602
Open Access
Deep learning in microbiome analysis: a comprehensive review of neural network models
Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín‐Segura, et al.
Frontiers in Microbiology (2025) Vol. 15
Open Access
Die Rolle von Staphylococcus aureus bei der atopischen Dermatitis verstehen: Stammvielfalt, Mikroevolution und Prophageneinfluss
Zhongjie Wang, Claudia Hülpüsch, Claudia Traidl‐Hoffmann, et al.
Kompass Dermatologie (2025), pp. 1-6
Closed Access
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