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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 for bioimage analysis in developmental biology
Adrien Hallou, Hannah Yevick, Bianca Dumitrascu, et al.
Development (2021) Vol. 148, Iss. 18
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Nucleus segmentation: towards automated solutions
Réka Hollandi, Nikita Moshkov, Lassi Paavolainen, et al.
Trends in Cell Biology (2022) Vol. 32, Iss. 4, pp. 295-310
Open Access | Times Cited: 51
EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways
Daniel Čapek, Matvey Safroshkin, Hernán Morales‐Navarrete, et al.
Nature Methods (2023) Vol. 20, Iss. 6, pp. 815-823
Open Access | Times Cited: 25
The evolution of developmental biology through conceptual and technological revolutions
Prisca Liberali, Alexander F. Schier
Cell (2024) Vol. 187, Iss. 14, pp. 3461-3495
Open Access | Times Cited: 10
Tissue clearing and 3D imaging in developmental biology
Alba Vieites‐Prado, Nicolas Renier
Development (2021) Vol. 148, Iss. 18
Open Access | Times Cited: 42
Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets
Andreas Müller, Deborah Schmidt, Jan Philipp Albrecht, et al.
Nature Protocols (2024) Vol. 19, Iss. 5, pp. 1436-1466
Closed Access | Times Cited: 6
Nuclear instance segmentation and tracking for preimplantation mouse embryos
Hayden Nunley, Binglun Shao, David Denberg, et al.
Development (2024) Vol. 151, Iss. 21
Open Access | Times Cited: 5
Machine learning approaches for image classification in developmental biology and clinical embryology
Camilla Mapstone, Berenika Płusa
Development (2025) Vol. 152, Iss. 4
Open Access
Analyzing angiogenesis on a chip using deep learning-based image processing
Dong‐Hee Choi, Huiwen Liu, Yong Hun Jung, et al.
Lab on a Chip (2023) Vol. 23, Iss. 3, pp. 475-484
Closed Access | Times Cited: 15
DeXtrusion: automatic recognition of epithelial cell extrusion through machine learning in vivo
Alexis Villars, Gaëlle Letort, Léo Valon, et al.
Development (2023) Vol. 150, Iss. 13
Open Access | Times Cited: 13
Image restoration of degraded time-lapse microscopy data mediated by near-infrared imaging
Nicola Gritti, Rory M. Power, Alyssa Graves, et al.
Nature Methods (2024) Vol. 21, Iss. 2, pp. 311-321
Open Access | Times Cited: 4
Artificial intelligence for life sciences: A comprehensive guide and future trends
Ming Luo, Wenyu Yang, Long Bai, et al.
The Innovation Life (2024), pp. 100105-100105
Closed Access | Times Cited: 4
Deep Learning-Enabled Technologies for Bioimage Analysis
Fazle Rabbi, Sajjad Rahmani Dabbagh, Pelin Angın, et al.
Micromachines (2022) Vol. 13, Iss. 2, pp. 260-260
Open Access | Times Cited: 17
Deep 3D histology powered by tissue clearing, omics and AI
Ali Ertürk
Nature Methods (2024) Vol. 21, Iss. 7, pp. 1153-1165
Closed 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
Spatial topology of organelle is a new breast cancer cell classifier
Ling Wang, Joshua Goldwag, Megan Bouyea, et al.
iScience (2023) Vol. 26, Iss. 7, pp. 107229-107229
Open Access | Times Cited: 7
Challenges and opportunities in applying AI to evolutionary morphology
Yichen He, James M. Mulqueeney, Emily Watt, et al.
(2024)
Open Access | Times Cited: 2
A study of transfer of information in animal collectives using deep learning tools
Francisco Romero-Ferrero, Francisco J. H. Heras, Dean Rance, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2023) Vol. 378, Iss. 1874
Open Access | Times Cited: 6
Moving beyond the desktop: prospects for practical bioimage analysis via the web
Wei Ouyang, Kevin W. Eliceiri, Beth A. Cimini
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 6
Utilizing machine learning to expedite the fabrication and biological application of carbon dots
Yaoyao Tang, Quan Xu, Peide Zhu, et al.
Materials Advances (2023) Vol. 4, Iss. 23, pp. 5974-5997
Open Access | Times Cited: 6
Automated staging of zebrafish embryos using machine learning
Rebecca A. Jones, Matthew J. Renshaw, David J. Barry, et al.
Wellcome Open Research (2023) Vol. 7, pp. 275-275
Open Access | Times Cited: 5
Dev-ResNet: automated developmental event detection using deep learning
Ziad Ibbini, Manuela Truebano, John I. Spicer, et al.
Journal of Experimental Biology (2024) Vol. 227, Iss. 10
Open Access | Times Cited: 1
Novel imaging and biophysical approaches to study tissue hydraulics in mammalian folliculogenesis
Jake Turley, Kim Whye Leong, Chii Jou Chan
Biophysical Reviews (2024) Vol. 16, Iss. 5, pp. 625-637
Open Access | Times Cited: 1
Bioimaging and-the future of whole-organismal developmental physiology
Oliver Tills, Ziad Ibbini, John I. Spicer
Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology (2024), pp. 111783-111783
Open Access | Times Cited: 1
Automated staging of zebrafish embryos using machine learning
Rebecca A. Jones, Matthew J. Renshaw, David J. Barry, et al.
Wellcome Open Research (2022) Vol. 7, pp. 275-275
Open Access | Times Cited: 6
BASIN: A Semi-automatic Workflow, with Machine Learning Segmentation, for Objective Statistical Analysis of Biomedical and Biofilm Image Datasets
Timothy W. Hartman, Evgeni Radichev, Hafiz Munsub Ali, et al.
Journal of Molecular Biology (2022) Vol. 435, Iss. 2, pp. 167895-167895
Open Access | Times Cited: 6
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