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 26-50 of 133 citing articles:

CONSULT-II: accurate taxonomic identification and profiling using locality-sensitive hashing
Ali Osman Berk Şapcı, Eleonora Rachtman, Siavash Mirarab
Bioinformatics (2024) Vol. 40, Iss. 4
Open Access | Times Cited: 4

MetaTransformer: deep metagenomic sequencing read classification using self-attention models
Alexander Wichmann, Etienne Buschong, André Müller, et al.
NAR Genomics and Bioinformatics (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 11

A Review on the Applications of Transformer-based language models for Nucleotide Sequence Analysis
Nimisha Ghosh, Daniele Santoni, Indrajit Saha, et al.
Computational and Structural Biotechnology Journal (2025)
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

Enhancing nucleotide sequence representations in genomic analysis with contrastive optimization
Mohammadsaleh Refahi, Bahrad A. Sokhansanj, Joshua Chang Mell, et al.
Communications Biology (2025) Vol. 8, Iss. 1
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

Gut Microbes Libraries: A Key Resource for Current Gut Microbiome Research
Ayyaz Ali Khan, Sura Kim, Seong‐Tshool Hong
Journal of Bacteriology and Virology (2025) Vol. 55, Iss. 1, pp. 1-9
Open Access

Case studies and use cases of deep learning for biomedical applications
M. Manivannan, T. V. Padmavathy, Balamurugan Balusamy
Elsevier eBooks (2025), pp. 179-191
Closed Access

PCVR: a pre-trained contextualized visual representation for DNA sequence classification
Jiarui Zhou, Hui Wu, Kang Du, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access

Analysis of Metagenomic Next‐Generation Sequencing Data Obtained from Clinical Samples
Brian D. O’Donovan, Steve Miller, Katrina Kalantar
(2025), pp. 278-295
Closed Access

Scanpath Classification with an n-mer Deep Neural Network Architecture
Wolfgang Fuhl, Susanne Zabel, Kay Nieselt
(2025), pp. 1-7
Closed Access

DeepMPTB: a vaginal microbiome-based deep neural network as artificial intelligence strategy for efficient preterm birth prediction
Oshma Chakoory, Vincent Barra, Emmanuelle Rochette, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 3

Application and Comparison of Machine Learning and Database-Based Methods in Taxonomic Classification of High-Throughput Sequencing Data
Qinzhong Tian, Pinglu Zhang, Yixiao Zhai, et al.
Genome Biology and Evolution (2024) Vol. 16, Iss. 5
Open Access | Times Cited: 3

Bioinformatic approaches to blood and tissue microbiome analyses: challenges and perspectives
Jammi Prasanthi Sirasani, Cory Gardner, G. Jung, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access

Taxonomic classification of metagenomic sequences from Relative Abundance Index profiles using deep learning
Meryem Altın Karagöz, O. Ufuk Nalbantoglu
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102539-102539
Closed Access | Times Cited: 19

Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review
Tao Zeng, Xiangtian Yu, Zhangran Chen
Journal of Gastroenterology and Hepatology (2021) Vol. 36, Iss. 4, pp. 832-840
Closed Access | Times Cited: 19

CONSULT: accurate contamination removal using locality-sensitive hashing
Eleonora Rachtman, Vineet Bafna, Siavash Mirarab
NAR Genomics and Bioinformatics (2021) Vol. 3, Iss. 3
Open Access | Times Cited: 19

Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life
Zhengqiao Zhao, Alexandru Cristian, Gail Rosen
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 19

PACIFIC: a lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses
Pablo Acera Mateos, Renzo F. Balboa, Simon Easteal, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 18

Application of computational approaches to analyze metagenomic data
Ho‐Jin Gwak, Seung Jae Lee, Mina Rho
The Journal of Microbiology (2021) Vol. 59, Iss. 3, pp. 233-241
Closed Access | Times Cited: 17

BERTax: taxonomic classification of DNA sequences with Deep Neural Networks
Florian Mock, Fleming Kretschmer, Anton Kriese, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 17

Efficient and Quality-Optimized Metagenomic Pipeline Designed for Taxonomic Classification in Routine Microbiological Clinical Tests
Sylvie Buffet‐Bataillon, Guillaume Rizk, Vincent Cattoir, et al.
Microorganisms (2022) Vol. 10, Iss. 4, pp. 711-711
Open Access | Times Cited: 12

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

Environment and taxonomy shape the genomic signature of prokaryotic extremophiles
Pablo Millán Arias, Joseph Butler, Gurjit S. Randhawa, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7

Enhancing Taxonomic Categorization of DNA Sequences with Deep Learning: A Multi-Label Approach
Prommy Sultana Hossain, Kyungsup Kim, Jia Uddin, et al.
Bioengineering (2023) Vol. 10, Iss. 11, pp. 1293-1293
Open Access | Times Cited: 7

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