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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:

Deep Learning and Likelihood Approaches for Viral Phylogeography Converge on the Same Answers Whether the Inference Model Is Right or Wrong
Ammon Thompson, Benjamin J. Liebeskind, Erik J. Scully, et al.
Systematic Biology (2024) Vol. 73, Iss. 1, pp. 183-206
Open Access | Times Cited: 13

Showing 13 citing articles:

Applications of machine learning in phylogenetics
Mo Yu, Matthew W. Hahn, Megan L. Smith
Molecular Phylogenetics and Evolution (2024) Vol. 196, pp. 108066-108066
Closed Access | Times Cited: 12
Indels: computational methods, evolutionary dynamics, and biological applications
Benjamin D. Redelings, Ian Holmes, Gerton Lunter, et al.
Molecular Biology and Evolution (2024) Vol. 41, Iss. 9
Open Access | Times Cited: 6
Recent evolutionary origin and localized diversity hotspots of mammalian coronaviruses
Renan Maestri, Benoît Perez‐Lamarque, Anna Zhukova, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 2
Trait-mediated speciation and human-driven extinctions in proboscideans revealed by unsupervised Bayesian neural networks
Torsten Hauffe, Juan L. Cantalapiedra, Daniele Silvestro
Science Advances (2024) Vol. 10, Iss. 30
Open Access | Times Cited: 2
PhyloJunction: a computational framework for simulating, developing, and teaching evolutionary models
Fábio K. Mendes, Michael J. Landis
Systematic Biology (2024)
Open Access | Times Cited: 1
phyddle: software for phylogenetic model exploration with deep learning
Michael J. Landis, Ammon Thompson
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Integrating contact tracing data to enhance outbreak phylodynamic inference: a deep learning approach
Ruopeng Xie, Dillon C. Adam, Hu Shu, et al.
Molecular Biology and Evolution (2024) Vol. 41, Iss. 11
Open Access | Times Cited: 1
Exact and efficient phylodynamic simulation from arbitrarily large populations.
Michael Celentano, William S. DeWitt, Sebastian Prillo, et al.
arXiv (Cornell University) (2024)
Open Access
Deep learning of SARS-CoV-2 outbreak phylodynamics with contact tracing data
Ruopeng Xie, Dillon C. Adam, Hu Shu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Unsupervised learning analysis on the proteomes of Zika virus
Edgar E. Lara‐Ramírez, Gildardo Rivera, Amanda Alejandra Oliva-Hernández, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2443-e2443
Open Access
PhyloCNN: Improving tree representation and neural network architecture for deep learning from trees in phylodynamics and diversification studies
Manolo F. Perez, Olivier Gascuel
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
PhyloJunction: a computational framework for simulating, developing, and teaching evolutionary models
Fábio K. Mendes, Michael J. Landis
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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