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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 Metagenomic Taxonomy and Functional Annotation
Alban Mathieu, Mickaël Leclercq, Melissa Sanabria, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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: 19
Human Gut Microbiota for Diagnosis and Treatment of Depression
Olga V. Averina, Е. У. Полуэктова, Yana Zorkina, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5782-5782
Open Access | Times Cited: 11
Deep learning methods in metagenomics: a review
Gaspar Roy, Edi Prifti, Eugeni Belda, et al.
Microbial Genomics (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 9
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 | Times Cited: 1
metaProbiotics: a tool for mining probiotic from metagenomic binning data based on a language model
Shufang Wu, Tao Feng, Waijiao Tang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 8
Metagenomic profiling of rhizosphere microbiota: Unraveling the plant-soil dynamics
Atif Khurshid Wani, Farida Rahayu, Abdullah M. Alkahtani, et al.
Physiological and Molecular Plant Pathology (2024) Vol. 133, pp. 102381-102381
Closed Access | Times Cited: 8
A new era in healthcare: The integration of artificial intelligence and microbial
Da-Liang Huo, Xiaogang Wang
Medicine in Novel Technology and Devices (2024) Vol. 23, pp. 100319-100319
Open Access | Times Cited: 6
Impact of database choice and confidence score on the performance of taxonomic classification using Kraken2
Yunlong Liu, Morteza H. Ghaffari, Tao Ma, et al.
aBIOTECH (2024) Vol. 5, Iss. 4, pp. 465-475
Open Access | Times Cited: 4
Data-driven decision-making for precision diagnosis of digestive diseases
Song Jiang, Ting Wang, Kun-He Zhang
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 10
Enhancing microbiology with artificial intelligence: Future of disease detection and treatment
M.S. Smitha, Manal Sajid Siddiqui
Methods in microbiology (2025)
Closed Access
Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data
Burcu Bakır-Güngör, Nur Şebnem Ersöz, Malik Yousef
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2940-2940
Open Access
A review of neural networks for metagenomic binning
Jair Herazo-Álvarez, Marco Mora, Sara Cuadros-Orellana, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Ocular surface microbiome: Influences of physiological, environmental, and lifestyle factors
Vincenzo Rizzuto, Marzia Settino, Giacomo Stroffolini, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110046-110046
Open Access
FGeneBERT: function-driven pre-trained gene language model for metagenomics
Chenrui Duan, Zelin Zang, Yongjie Xu, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Reveal your microbes, and i’ll reveal your origins: geographical traceability via Scomber colias intestinal tract metagenomics
Bernardo Duarte, Eduardo Feijão, Ana Cruz-Silva, et al.
Animal Microbiome (2025) Vol. 7, Iss. 1
Open Access
Design of hybrid deep learning using TSA with ANN for cost evaluation in the plastic injection industry
Athakorn Kengpol, Pornthip Tabkosai
Frontiers in Mechanical Engineering (2024) Vol. 10
Open Access | Times Cited: 3
Transformer-Enhanced Pathogenicity Prediction with Soft Labels in a Semi-supervised Setup
Pablo Enrique Guillem, Marco Hernández, Liliana Durón Figueroa, et al.
Lecture notes in networks and systems (2025), pp. 41-50
Closed Access
DL-TODA: A Deep Learning Tool for Omics Data Analysis
Cecile M. Cres, Andrew Tritt, Kristofer E. Bouchard, et al.
Biomolecules (2023) Vol. 13, Iss. 4, pp. 585-585
Open Access | Times Cited: 7
Next-Generation Sequencing for the Detection of Microbial Agents in Avian Clinical Samples
Claudio L. Afonso, Anna M. Afonso
Veterinary Sciences (2023) Vol. 10, Iss. 12, pp. 690-690
Open Access | Times Cited: 7
Investigation of machine learning algorithms for taxonomic classification of marine metagenomes
Helen Park, Shen Jean Lim, Jonathan Cosme, et al.
Microbiology Spectrum (2023) Vol. 11, Iss. 5
Open Access | Times Cited: 6
Machine Learning to Advance Human Genome-Wide Association Studies
Rafaella E. Sigala, Vasiliki Lagou, Aleksey Shmeliov, et al.
Genes (2023) Vol. 15, Iss. 1, pp. 34-34
Open Access | Times Cited: 6
Metagenome comparison (MC): A new framework for detecting unique/enriched OMUs (operational metagenomic units) derived from whole-genome sequencing reads
Zhanshan Sam
Computers in Biology and Medicine (2024) Vol. 180, pp. 108852-108852
Closed Access | Times Cited: 2
AI in microbiome research: Where have we been, where are we going?
Georg K. Gerber
Cell Host & Microbe (2024) Vol. 32, Iss. 8, pp. 1230-1234
Closed Access | Times Cited: 2
The Promises, Challenges, and Opportunities of Omics for Studying the Plant Holobiont
Dana L. Carper, Manasa R. Appidi, Sameer Mudbhari, et al.
Microorganisms (2022) Vol. 10, Iss. 10, pp. 2013-2013
Open Access | Times Cited: 6
Machine Learning to Advance Human Genome‐Wide Association Studies
Rafaella E. Sigala, Vasiliki Lagou, Aleksey Shmeliov, et al.
(2023)
Open Access | Times Cited: 2
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