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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:

DeepImageJ: A user-friendly environment to run deep learning models in ImageJ
Estibaliz Gómez‐de‐Mariscal, Carlos García-López-de-Haro, Wei Ouyang, et al.
Nature Methods (2021) Vol. 18, Iss. 10, pp. 1192-1195
Open Access | Times Cited: 191

Showing 1-25 of 191 citing articles:

Democratising deep learning for microscopy with ZeroCostDL4Mic
Lucas von Chamier, Romain F. Laine, Johanna Jukkala, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 436
The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis
Alexandra B. Schroeder, Ellen T. A. Dobson, Curtis Rueden, et al.
Protein Science (2020) Vol. 30, Iss. 1, pp. 234-249
Open Access | Times Cited: 199
Deep learning-enabled virtual histological staining of biological samples
Bijie Bai, Xilin Yang, Yuzhu Li, et al.
Light Science & Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 136
Volume electron microscopy
Christopher J. Peddie, Christel Genoud, Anna Kreshuk, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 115
Avoiding a replication crisis in deep-learning-based bioimage analysis
Romain F. Laine, Ignacio Arganda‐Carreras, Ricardo Henriques, et al.
Nature Methods (2021) Vol. 18, Iss. 10, pp. 1136-1144
Open Access | Times Cited: 102
RootPainter: deep learning segmentation of biological images with corrective annotation
Abraham George Smith, Eusun Han, Jens Petersen, et al.
New Phytologist (2022) Vol. 236, Iss. 2, pp. 774-791
Open Access | Times Cited: 102
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 6, pp. 427-441
Closed Access | Times Cited: 55
Deep learning in image-based phenotypic drug discovery
Daniel Krentzel, Spencer Shorte, Christophe Zimmer
Trends in Cell Biology (2023) Vol. 33, Iss. 7, pp. 538-554
Open Access | Times Cited: 46
Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 22
Advances and opportunities in image analysis of bacterial cells and communities
Hannah Jeckel, Knut Drescher
FEMS Microbiology Reviews (2020) Vol. 45, Iss. 4
Open Access | Times Cited: 83
DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation
Ilya Belevich, Eija Jokitalo
PLoS Computational Biology (2021) Vol. 17, Iss. 3, pp. e1008374-e1008374
Open Access | Times Cited: 67
DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches
Christoph Spahn, Estibaliz Gómez‐de‐Mariscal, Romain F. Laine, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 63
Open-source deep-learning software for bioimage segmentation
Alice Lucas, Pearl V. Ryder, Bin Li, et al.
Molecular Biology of the Cell (2021) Vol. 32, Iss. 9, pp. 823-829
Open Access | Times Cited: 62
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
Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
Marc Botifoll, Ivan Pinto-Huguet, Jordi Arbiol
Nanoscale Horizons (2022) Vol. 7, Iss. 12, pp. 1427-1477
Open Access | Times Cited: 62
Multiplex Tissue Imaging: Spatial Revelations in the Tumor Microenvironment
Stephanie van Dam, Matthijs J.D. Baars, Yvonne Vercoulen
Cancers (2022) Vol. 14, Iss. 13, pp. 3170-3170
Open Access | Times Cited: 45
Real-time image denoising of mixed Poisson–Gaussian noise in fluorescence microscopy images using ImageJ
Varun Mannam, Yide Zhang, Yinhao Zhu, et al.
Optica (2022) Vol. 9, Iss. 4, pp. 335-335
Open Access | Times Cited: 44
A Hitchhiker's guide through the bio‐image analysis software universe
Robert Haase, Elnaz Fazeli, David Legland, et al.
FEBS Letters (2022) Vol. 596, Iss. 19, pp. 2472-2485
Open Access | Times Cited: 42
Bridging live-cell imaging and next-generation cancer treatment
María Alieva, Amber K. L. Wezenaar, Ellen J. Wehrens, et al.
Nature reviews. Cancer (2023) Vol. 23, Iss. 11, pp. 731-745
Closed Access | Times Cited: 34
Live-cell imaging in the deep learning era
Joanna W. Pylvänäinen, Estibaliz Gómez‐de‐Mariscal, Ricardo Henriques, et al.
Current Opinion in Cell Biology (2023) Vol. 85, pp. 102271-102271
Open Access | Times Cited: 24
How to build the virtual cell with artificial intelligence: Priorities and opportunities
Charlotte Bunne, Yusuf Roohani, Yanay Rosen, et al.
Cell (2024) Vol. 187, Iss. 25, pp. 7045-7063
Open Access | Times Cited: 11
Harnessing artificial intelligence to reduce phototoxicity in live imaging
Estibaliz Gómez‐de‐Mariscal, Mario Del Rosario, Joanna W. Pylvänäinen, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 3
Open Access | Times Cited: 7
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
AIDeveloper: Deep Learning Image Classification in Life Science and Beyond
Martin Kräter, Shada Abuhattum, Despina Soteriou, et al.
Advanced Science (2021) Vol. 8, Iss. 11
Open Access | Times Cited: 45
Multiphoton intravital microscopy of rodents
Colinda L. G. J. Scheele, David Herrmann, Erika Yamashita, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 36
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