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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:

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

Showing 1-25 of 48 citing articles:

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
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
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
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
MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
GigaScience (2022) Vol. 12
Open Access | Times Cited: 21
Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine Interaction
António Correia, Andrea Grover, Daniel Schneider, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2198-2198
Open Access | Times Cited: 13
DCiPatho: deep cross-fusion networks for genome scale identification of pathogens
Gaofei Jiang, Jiaxuan Zhang, Yaozhong Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 13
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 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
DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Alam Zaib, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Alignment-free viral sequence classification at scale
D. J. VAN ZYL, Marcel Dunaiski, Houriiyah Tegally, et al.
BMC Genomics (2025) Vol. 26, Iss. 1
Open 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
Language model and its interpretability in biomedicine: A scoping review
Daoming Lyu, Xingbo Wang, Yong Chen, et al.
iScience (2024) Vol. 27, Iss. 4, pp. 109334-109334
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
An updated reference genome of Barbatula barbatula (Linnaeus, 1758)
Levente Laczkó, Nikoletta Andrea Nagy, Ágnes Nagy, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
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
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
Sequencing, Fast and Slow: Profiling Microbiomes in Human Samples with Nanopore Sequencing
Yunseol Park, J. Lee, Hyunjin Shim
Applied Biosciences (2023) Vol. 2, Iss. 3, pp. 437-458
Open Access | Times Cited: 7
The updated genome of the Hungarian population of Aedes koreicus
Nikoletta Andrea Nagy, Gábor Endre Tóth, Kornélia Kurucz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
MuLan-Methyl - Multiple Transformer-based Language Models for Accurate DNA Methylation Prediction
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenomeassembled genomes
Wanxin Li, Lila Kari, Yaoliang Yu, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0283536-e0283536
Open Access | Times Cited: 6
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