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:

BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis
Wei Ouyang, Fynn Beuttenmueller, Estibaliz Gómez‐de‐Mariscal, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Automated tracking of cell migration in phase contrast images with CellTraxx
B. Holme, Birgitte Bjørnerud, Nina Marie Pedersen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

Machine learning for cross-scale microscopy of viruses
Anthony Petkidis, Vardan Andriasyan, Urs F. Greber
Cell Reports Methods (2023) Vol. 3, Iss. 9, pp. 100557-100557
Open Access | Times Cited: 9

Bridging imaging users to imaging analysis – A community survey
Suganya Sivagurunathan, Stefania Marcotti, Carl J. Nelson, et al.
Journal of Microscopy (2023) Vol. 296, Iss. 3, pp. 199-213
Open Access | Times Cited: 9

BiaPy: A unified framework for versatile bioimage analysis with deep learning
Daniel Franco-Barranco, Jesús A. Andrés-San Román, Iván Hidalgo-Cenalmor, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

Machine learning in microscopy – insights, opportunities and challenges
Inês Cunha, Emma Latron, Sebastian Bauer, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 20
Closed Access | Times Cited: 3

Artificial Intelligence for Cell Segmentation, Event Detection, and Tracking for Label-Free Microscopy Imaging
Lucia Maddalena, Laura Antonelli, Alexandra Branzan Albu, et al.
Algorithms (2022) Vol. 15, Iss. 9, pp. 313-313
Open Access | Times Cited: 14

N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture
Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, et al.
Lecture notes in computer science (2023), pp. 503-518
Closed Access | Times Cited: 8

Deep learning models will shape the future of stem cell research
John F. Ouyang, Sonia Chothani, Owen J. L. Rackham
Stem Cell Reports (2023) Vol. 18, Iss. 1, pp. 6-12
Open Access | Times Cited: 7

JDLL: a library to run deep learning models on Java bioimage informatics platforms
Carlos García López de Haro, Stéphane Dallongeville, Thomas Musset, et al.
Nature Methods (2024)
Open Access | Times Cited: 2

Development of AI-assisted microscopy frameworks through realistic simulation with pySTED
Anthony Bilodeau, Albert Michaud-Gagnon, Julia Chabbert, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 10, pp. 1197-1215
Open Access | Times Cited: 2

Optical microscopic imaging, manipulation, and analysis methods for morphogenesis research
Takanobu A. Katoh, Yohsuke T. Fukai, T. Ishibashi
Microscopy (2023) Vol. 73, Iss. 3, pp. 226-242
Open Access | Times Cited: 5

Community-developed checklists for publishing images and image analysis
Christopher Schmied, Michael S. Nelson, Sergiy Avilov, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5

Addressing annotation and data scarcity when designing machine learning strategies for neurophotonics
Catherine Bouchard, Renaud Bernatchez, Flavie Lavoie‐Cardinal
Neurophotonics (2023) Vol. 10, Iss. 04
Open Access | Times Cited: 5

DL4MicEverywhere: Deep learning for microscopy made flexible, shareable, and reproducible
Iván Hidalgo-Cenalmor, Joanna W. Pylvänäinen, Mariana Ferreira, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

BIOMERO: Bioimage Analysis in OMERO
Torec T. Luik, Rodrigo Rosas-Bertolini, Eric A. Reits, et al.
(2024)
Closed Access | Times Cited: 1

Bridging the Gap: Integrating Cutting-edge Techniques into Biological Imaging with deepImageJ
Caterina Fuster-Barceló, Carlos García López de Haro, Estibaliz Gómez‐de‐Mariscal, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Making the most of bioimaging data through interdisciplinary interactions
Virginie Uhlmann, Matthew Hartley, Josh Moore, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 20
Open Access | Times Cited: 1

SynapseNet: Deep Learning for Automatic Synapse Reconstruction
Sarah Muth, Frederieke Moschref, Luca Freckmann, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

State-of-the-Art Deep Learning Methods for Microscopic Image Segmentation: Applications to Cells, Nuclei, and Tissues
Fatma Krikid, Hugo Rositi, Antoine Vacavant
Journal of Imaging (2024) Vol. 10, Iss. 12, pp. 311-311
Open Access | Times Cited: 1

Online citizen science with the Zooniverse for analysis of biological volumetric data
Patricia C. Smith, Oliver N. F. King, Avery Pennington, et al.
Histochemistry and Cell Biology (2023) Vol. 160, Iss. 3, pp. 253-276
Open Access | Times Cited: 4

Defining the boundaries: challenges and advances in identifying cells in microscopy images
Nodar Gogoberidze, Beth A. Cimini
Current Opinion in Biotechnology (2023) Vol. 85, pp. 103055-103055
Open Access | Times Cited: 4

A novel ground truth dataset enables robust 3D nuclear instance segmentation in early mouse embryos
Hayden Nunley, Binglun Shao, Prateek Grover, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Development of AI-assisted microscopy frameworks through realistic simulation in pySTED
Anthony Bilodeau, Albert Michaud-Gagnon, Julia Chabbert, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Enhancing the image analysis community in Galaxy
Leonid Kostrykin, Tatiana Woller, Matúš Kalaš, et al.
(2024)
Open Access

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