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:

Measuring Perceptual Distance of Organismal Color Pattern using the Features of Deep Neural Networks
Drew C. Wham, Briana D. Ezray, Heather M. Hines
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 9

Showing 9 citing articles:

VAE-SNE: a deep generative model for simultaneous dimensionality reduction and clustering
Jacob M. Graving, Iain D. Couzin
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 47

Dorsoventral comparison of intraspecific variation in the butterfly wing pattern using a convolutional neural network
Kai Amino, Tsubasa Hirakawa, Masaya Yago, et al.
Biology Letters (2025) Vol. 21, Iss. 1
Closed Access

Unsupervised machine learning reveals mimicry complexes in bumblebees occur along a perceptual continuum
Briana D. Ezray, Drew C. Wham, Carrie E. Hill, et al.
Proceedings of the Royal Society B Biological Sciences (2019) Vol. 286, Iss. 1910, pp. 20191501-20191501
Open Access | Times Cited: 35

Aculeate Hymenopterans as Aposematic and Mimetic Models
Peter Willadsen
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 8

Artificial intelligence versus natural selection: Using computer vision techniques to classify bees and bee mimics
Tanvir Bhuiyan, Ryan M. Carney, Sriram Chellappan
iScience (2022) Vol. 25, Iss. 9, pp. 104924-104924
Open Access | Times Cited: 8

Dorsoventral comparison of intraspecific polymorphisms in the butterfly wing pattern using a convolutional neural network
Kai Amino, Tsubasa Hirakasa, Masaya Yago, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Comprehensive Data Augmentation Approach Using WGAN-GP and UMAP for Enhancing Alzheimer’s Disease Diagnosis
Emi Yuda, Tomoki Ando, Itaru Kaneko, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3671-3671
Open Access

Testing the equivalency of human “predators” and deep neural networks in the detection of cryptic moths
Mónica Arias, Lis Behrendt, Lyn Dreßler, et al.
Journal of Evolutionary Biology (2024)
Open Access

Deep neural network and field experiments reveal how transparent wing windows reduce detectability in moths
Mónica Arias, Cynthia Tedore, Marianne Élias, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access

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