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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:

DeepMicrobes: taxonomic classification for metagenomics with deep learning
Qiaoxing Liang, Paul W. Bible, Yu Liu, et al.
NAR Genomics and Bioinformatics (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

Linking Gut Microbiome and Lipid Metabolism: Moving beyond Associations
Santosh Lamichhane, Partho Sen, Marina Amaral Alves, et al.
Metabolites (2021) Vol. 11, Iss. 1, pp. 55-55
Open Access | Times Cited: 78
Tiara: deep learning-based classification system for eukaryotic sequences
Michał Karlicki, Stanisław Antonowicz, Anna Karnkowska
Bioinformatics (2021) Vol. 38, Iss. 2, pp. 344-350
Open Access | Times Cited: 74
Data Analytics for Environmental Science and Engineering Research
Suraj Gupta, Diana S. Aga, Amy Pruden, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 16, pp. 10895-10907
Closed Access | Times Cited: 68
Taxonomic classification of DNA sequences beyond sequence similarity using deep neural networks
Florian Mock, Fleming Kretschmer, Anton Kriese, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 35
Open Access | Times Cited: 48
KMCP: accurate metagenomic profiling of both prokaryotic and viral populations by pseudo-mapping
Wei Shen, Hongyan Xiang, Tianquan Huang, et al.
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 40
Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics
Leyuan Li, Tong Wang, Zhibin Ning, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
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: 17
Emerging strategies and therapeutic innovations for combating drug resistance in Staphylococcus aureus strains: A comprehensive review
Mohanraj Gopikrishnan, Sree Haryini, C. George Priya Doss
Journal of Basic Microbiology (2024) Vol. 64, Iss. 5
Closed Access | Times Cited: 14
Comparative analysis of metagenomic classifiers for long-read sequencing datasets
Josip Marić, Krešimir Križanović, Sylvain Riondet, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 13
Advancements in prokaryotic systematics and the role of Bergey's International Society for Microbial Systematicsin addressing challenges in the meta-data era
Jian-Yu Jiao, Rashidin Abdugheni, Dao‐Feng Zhang, et al.
National Science Review (2024) Vol. 11, Iss. 7
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
Deep learning in next-generation sequencing
Bertil Schmidt, Andreas Hildebrandt
Drug Discovery Today (2020) Vol. 26, Iss. 1, pp. 173-180
Open Access | Times Cited: 53
Genomics enters the deep learning era
Etienne Routhier, Julien Mozziconacci
PeerJ (2022) Vol. 10, pp. e13613-e13613
Open Access | Times Cited: 29
Review on computer-assisted biosynthetic capacities elucidation to assess metabolic interactions and communication within microbial communities
Mahnoor Zulfiqar, Vinay Singh, Christoph Steinbeck, et al.
Critical Reviews in Microbiology (2024), pp. 1-40
Open Access | Times Cited: 7
Toward Characterizing Environmental Sources of Non-tuberculous Mycobacteria (NTM) at the Species Level: A Tutorial Review of NTM Phylogeny and Phylogenetic Classification
Lin Zhang, Tzu‐Yu Lin, Wen‐Tso Liu, et al.
ACS Environmental Au (2024) Vol. 4, Iss. 3, pp. 127-141
Open Access | Times Cited: 7
From GPUs to AI and quantum: three waves of acceleration in bioinformatics
Bertil Schmidt, Andreas Hildebrandt
Drug Discovery Today (2024) Vol. 29, Iss. 6, pp. 103990-103990
Open Access | Times Cited: 7
DeLUCS: Deep learning for unsupervised clustering of DNA sequences
Pablo Millán Arias, Fatemeh Alipour, Kathleen A. Hill, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0261531-e0261531
Open Access | Times Cited: 28
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
Interfacing Machine Learning and Microbial Omics: A Promising Means to Address Environmental Challenges
James McElhinney, Mary Krystelle Catacutan, Aurélie Mawart, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 25
Artificial Intelligence: A Promising Tool in Exploring the Phytomicrobiome in Managing Disease and Promoting Plant Health
Liang Zhao, Sean Walkowiak, W. G. Dilantha Fernando
Plants (2023) Vol. 12, Iss. 9, pp. 1852-1852
Open Access | Times Cited: 14
Benchmarking taxonomic classifiers with Illumina and Nanopore sequence data for clinical metagenomic diagnostic applications
Kumeren Govender, David W. Eyre
Microbial Genomics (2022) Vol. 8, Iss. 10
Open Access | Times Cited: 21
Elucidating the functional roles of prokaryotic proteins using big data and artificial intelligence
Zachary Ardern, Sagarika Chakraborty, Florian Lenk, et al.
FEMS Microbiology Reviews (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 12
Enhanced Deep Convolutional Neural Network for SARS-CoV-2 Variants Classification
Mike J. Mwanga, Hesborn Omwandho Obura, Mudibo Evans, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12
A toolbox of machine learning software to support microbiome analysis
Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakır-Güngör, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 12
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