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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:

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: 46

Showing 1-25 of 46 citing articles:

Quantifying behavior to understand the brain
Talmo Pereira, Joshua W. Shaevitz, Mala Murthy
Nature Neuroscience (2020) Vol. 23, Iss. 12, pp. 1537-1549
Open Access | Times Cited: 254
Deep learning as a tool for ecology and evolution
Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1640-1660
Open Access | Times Cited: 156
Systems Neuroscience of Natural Behaviors in Rodents
Emily Jane Dennis, Ahmed El Hady, Angie Michaiel, et al.
Journal of Neuroscience (2020) Vol. 41, Iss. 5, pp. 911-919
Open Access | Times Cited: 73
Measuring Behavior in the Home Cage: Study Design, Applications, Challenges, and Perspectives
Fabrizio Grieco, Briana J. Bernstein, Barbara Biemans, et al.
Frontiers in Behavioral Neuroscience (2021) Vol. 15
Open Access | Times Cited: 65
Toward the explainability, transparency, and universality of machine learning for behavioral classification in neuroscience
Nastacia L. Goodwin, Simon Nilsson, Jia Jie Choong, et al.
Current Opinion in Neurobiology (2022) Vol. 73, pp. 102544-102544
Open Access | Times Cited: 64
Measuring and modeling the motor system with machine learning
Sebastien B Hausmann, Alessandro Marin Vargas, Alexander Mathis, et al.
Current Opinion in Neurobiology (2021) Vol. 70, pp. 11-23
Open Access | Times Cited: 58
Emerging technologies for behavioral research in changing environments
Iain D. Couzin, Conor Heins
Trends in Ecology & Evolution (2022) Vol. 38, Iss. 4, pp. 346-354
Open Access | Times Cited: 42
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 10
YOLO‐Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos
Alex Hoi Hang Chan, Prasetia Utama Putra, Harald T. Schupp, et al.
Methods in Ecology and Evolution (2025)
Open Access | Times Cited: 1
Body language signals for rodent social communication
Christian L. Ebbesen, Robert C. Froemke
Current Opinion in Neurobiology (2021) Vol. 68, pp. 91-106
Open Access | Times Cited: 45
Behavioral variation across the days and lives of honey bees
Michael L. Smith, Jacob D. Davidson, Benjamin Wild, et al.
iScience (2022) Vol. 25, Iss. 9, pp. 104842-104842
Open Access | Times Cited: 27
Complex hierarchical structures in single-cell genomics data unveiled by deep hyperbolic manifold learning
Tian Tian, Cheng Zhong, Xiang Lin, et al.
Genome Research (2023) Vol. 33, Iss. 2, pp. 232-246
Open Access | Times Cited: 13
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
Matthew R Whiteway, Dan Biderman, Yoni Friedman, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 9, pp. e1009439-e1009439
Open Access | Times Cited: 32
Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation
Victor H. R. Nogueira, Rishabh Sharma, Rafael V. C. Guido, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Infusing structural assumptions into dimensionality reduction for single-cell RNA sequencing data to identify small gene sets
Maren Hackenberg, Niklas Brunn, Tanja Vogel, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Statistical signature of subtle behavioral changes in large-scale assays
Alexandre Blanc, François Laurent, Alex Barbier–Chebbah, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 4, pp. e1012990-e1012990
Open Access
Recent Advances at the Interface of Neuroscience and Artificial Neural Networks
Yarden Cohen, Tatiana A. Engel, Christopher Langdon, et al.
Journal of Neuroscience (2022) Vol. 42, Iss. 45, pp. 8514-8523
Open Access | Times Cited: 18
Vehicles Trajectory Prediction Using Recurrent VAE Network
Miguel Ángel de Miguel, José María Armingol, Fernando García
IEEE Access (2022) Vol. 10, pp. 32742-32749
Open Access | Times Cited: 16
Stochastic Neighbour Embedding
Benyamin Ghojogh, Mark Crowley, Fakhri Karray, et al.
Springer eBooks (2023), pp. 455-477
Closed Access | Times Cited: 9
Unsupervised quantification of naturalistic animal behaviors for gaining insight into the brain
Michael McCullough, Geoffrey J. Goodhill
Current Opinion in Neurobiology (2021) Vol. 70, pp. 89-100
Closed Access | Times Cited: 23
Semi-supervised t-SNE with multi-scale neighborhood preservation
Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, et al.
Neurocomputing (2023) Vol. 550, pp. 126496-126496
Closed Access | Times Cited: 8
Artificial intelligence in epilepsy phenotyping
Andrew Knight, Tilo Gschwind, Peter D. Galer, et al.
Epilepsia (2023)
Closed Access | Times Cited: 7
Infusing structural assumptions into dimension reduction for single-cell RNA sequencing data to identify small gene sets
Maren Hackenberg, Niklas Brunn, Tanja Vogel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Sensory collectives in natural systems
Hannah J. Williams, Vivek H. Sridhar, Edward Hurme, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 5
Long-term tracking and quantification of individual behavior in bumble bee colonies
M. A. Smith, August Easton‐Calabria, Tony Zhang, et al.
Artificial Life and Robotics (2022) Vol. 27, Iss. 2, pp. 401-406
Open Access | Times Cited: 8
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