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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 approaches in microbiome research: challenges and best practices
Γεώργιος Παπουτσόγλου, Sonia Tarazona, Marta B. Lopes, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Microbiome Dynamics: A Paradigm Shift in Combatting Infectious Diseases
Mohamed Kamel, Sami Aleya, Majed Alsubih, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 2, pp. 217-217
Open Access | Times Cited: 22
Explainable artificial intelligence for microbiome data analysis in colorectal cancer biomarker identification
Pierfrancesco Novielli, Donato Romano, Michele Magarelli, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 21
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Domenica D’Elia, Jaak Truu, Leo Lahti, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 13
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
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
Enhancing Bacterial Phenotype Classification Through the Integration of Autogating and Automated Machine Learning in Flow Cytometric Analysis
In Jae Jeong, Jin‐Kyung Hong, Y. Bae, et al.
Cytometry Part A (2025)
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
Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation
Pierfrancesco Novielli, Michele Magarelli, Donato Romano, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Overview of data preprocessing for machine learning applications in human microbiome research
Eliana Ibrahimi, Marta B. Lopes, Xhilda Dhamo, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 12
A comprehensive review of the dairy pasteurization process using machine learning models
Poornima Singh, Surabhi Pandey, Subhadip Manik
Food Control (2024) Vol. 164, pp. 110574-110574
Closed Access | Times Cited: 4
Personalized identification of Autism-related bacteria in the gut microbiome using eXplainable Artificial Intelligence
Pierfrancesco Novielli, Donato Romano, Michele Magarelli, et al.
iScience (2024) Vol. 27, Iss. 9, pp. 110709-110709
Open Access | Times Cited: 4
Bacterial diversity and biomarkers screening of station and carriage surface in Shanghai metro system, China
Lijun Zhang, Xiaojing Li, Lisha Shi, et al.
Current Research in Microbial Sciences (2025), pp. 100374-100374
Open Access
Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification
Tikam Chand Dakal, Caiming Xu, Abhishek Kumar
Frontiers in Medical Technology (2025) Vol. 6
Open Access
Microbiome-based dietary supplements for better development and healthy brain
Riddhi Upadhyay, Sugumar Mani, Murugan Sevanan
International review of neurobiology (2025)
Closed Access
Interpretable machine learning decodes soil microbiome’s response to drought stress
Michelle Hagen, Rupashree Dass, Cathy Westhues, et al.
Environmental Microbiome (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3
mi-Mic: a novel multi-layer statistical test for microbiota-disease associations
Oshrit Shtossel, Shani Finkelstein, Yoram Louzoun
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to Warming
Pierfrancesco Novielli, Michele Magarelli, Donato Romano, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1564-1578
Open Access | Times Cited: 2
Dermatological Health in the Light of Skin Microbiome Evolution
Diala Haykal, Hugues Cartier, Brigitte Dréno
Journal of Cosmetic Dermatology (2024)
Open Access | Times Cited: 2
MicroHDF: predicting host phenotypes with metagenomic data using a deep forest-based framework
Kai Shi, Qiaohui Liu, Q. Ji, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 2
AI in microbiome‐related healthcare
Niklas Probul, Zihua Huang, Christina C. Saak, et al.
Microbial Biotechnology (2024) Vol. 17, Iss. 11
Open Access | Times Cited: 2
Unraveling the microbiome-metabolome nexus: a comprehensive study protocol for personalized management of Behçet’s disease using explainable artificial intelligence
Sabina Tangaro, Giuseppe Lopalco, D. V. A. Sabella, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 1
Explainable artificial intelligence and microbiome data for food geographical origin: the Mozzarella di Bufala Campana PDO Case of Study
Michele Magarelli, Pierfrancesco Novielli, Francesca De Filippis, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 1
Securing origin integrity through Machine Learning analysis of Mozzarella di Bufala PDO Microbiome
Michele Magarelli, Pierpaolo Di Bitonto, Francesca De Filippis, et al.
(2024), pp. 38-42
Closed Access | Times Cited: 1
The salivary microbiome as a diagnostic biomarker of periodontitis: a 16S multi-batch study before and after the removal of batch effects
Alba Regueira‐Iglesias, Berta Suárez-Rodríguez, Triana Blanco‐Pintos, et al.
Frontiers in Cellular and Infection Microbiology (2024) Vol. 14
Open Access | Times Cited: 1
Microbial Therapeutics in Oncology: A Comprehensive Review of Bacterial Role in Cancer Treatment
Radha Kunjalwar, Akshunna Keerti, Achal Chaudhari, et al.
Cureus (2024)
Open Access | Times Cited: 1
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