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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:

Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition
Catherine Bouchard, Theresa Wiesner, Andréanne Deschênes, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 8, pp. 830-844
Open Access | Times Cited: 15

Showing 15 citing articles:

AM-SegNet for additive manufacturing in situ X-ray image segmentation and feature quantification
Wei Li, Rubén Lambert-Garcia, Anna C. M. Getley, et al.
Virtual and Physical Prototyping (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 21
Designing nanotheranostics with machine learning
Lang Rao, Yuan Yuan, Xi Shen, et al.
Nature Nanotechnology (2024)
Closed Access | Times Cited: 20
Stimulated emission depletion microscopy
Gražvydas Lukinavičius, Jonatan Alvelid, Rūta Gerasimaitė, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 16
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
The rise of data‐driven microscopy powered by machine learning
Leonor Morgado, Estibaliz Gómez‐de‐Mariscal, Hannah S. Heil, et al.
Journal of Microscopy (2024) Vol. 295, Iss. 2, pp. 85-92
Open Access | Times Cited: 6
A review of deep-learning-based super-resolution: From methods to applications
Hu Su, Ying Li, Yifan Xu, et al.
Pattern Recognition (2024) Vol. 157, pp. 110935-110935
Closed Access | Times Cited: 6
Self‐Driving Microscopes: AI Meets Super‐Resolution Microscopy
Edward Ward, Anna Scheeder, Max Barysevich, et al.
Small Methods (2025)
Open Access
Computational Super-Resolution: An Odyssey in Harnessing Priors to Enhance Optical Microscopy Resolution
Wei Tian, Riwang Chen, Liangyi Chen
Analytical Chemistry (2025)
Open Access
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
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
GAN-WGCNA: Calculating gene modules to identify key intermediate regulators in cocaine addiction
Tae-Hyeong Kim, Kyoungmin Lee, Mookyung Cheon, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0311164-e0311164
Open Access | Times Cited: 1
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
A Review of Deep-Learning-Based Super-Resolution: From Methods to Applications
Hu Su, Ying Li, Yifan Xu, et al.
(2024)
Closed Access
Denoising, Deblurring, and optical Deconvolution for cryo-ET and light microscopy with a physics-informed deep neural network DeBCR
Rui Li, Artsemi Yushkevich, Xiaofeng Chu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Reconstruction of super-resolution from high-resolution remote sensing images based on convolutional neural networks
Yang Liu, Hu Xu, Xiaodong Shi
PeerJ Computer Science (2024) Vol. 10, pp. e2218-e2218
Open Access
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