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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:

Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning
Somayyeh Soltanian-Zadeh, Kaan Sahingur, Sarah Blau, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 17, pp. 8554-8563
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Two-photon calcium imaging of neuronal activity
Christine Grienberger, Andrea Giovannucci, William Zeiger, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 72
Aerobic glycolysis is the predominant means of glucose metabolism in neuronal somata, which protects against oxidative damage
Yao Wei, QianQian Miao, Qian Zhang, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 12, pp. 2081-2089
Closed Access | Times Cited: 50
Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
Jean‐Marc Fellous, Guillermo Sapiro, Andrew F. Rossi, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 131
Fluorescent Biosensors for Neurotransmission and Neuromodulation: Engineering and Applications
Anna V. Leopold, Daria M. Shcherbakova, Vladislav V. Verkhusha
Frontiers in Cellular Neuroscience (2019) Vol. 13
Open Access | Times Cited: 102
Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
Tom Macpherson, Anne K. Churchland, Terry Sejnowski, et al.
Neural Networks (2021) Vol. 144, pp. 603-613
Open Access | Times Cited: 93
Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity
Camden J. MacDowell, Timothy J. Buschman
Current Biology (2020) Vol. 30, Iss. 14, pp. 2665-2680.e8
Open Access | Times Cited: 82
Deep learning-based cell identification and disease diagnosis using spatio-temporal cellular dynamics in compact digital holographic microscopy
Timothy O’Connor, Arun Anand, Biree Andemariam, et al.
Biomedical Optics Express (2020) Vol. 11, Iss. 8, pp. 4491-4491
Open Access | Times Cited: 75
Dynamics of a disinhibitory prefrontal microcircuit in controlling social competition
Chaoyi Zhang, Hong Zhu, Zheyi Ni, et al.
Neuron (2021) Vol. 110, Iss. 3, pp. 516-531.e6
Open Access | Times Cited: 68
Advancing Drug Discovery for Neurological Disorders Using iPSC-Derived Neural Organoids
Gianluca Costamagna, Giacomo P. Comi, Stefania Corti
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2659-2659
Open Access | Times Cited: 53
A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging
Luca Sità, Marco Brondi, Pedro Lagomarsino de Leon Roig, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 49
Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data
Yuanlong Zhang, Guoxun Zhang, Xiaofei Han, et al.
Nature Methods (2023) Vol. 20, Iss. 5, pp. 747-754
Open Access | Times Cited: 28
Mesoscale volumetric light-field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz
Tobias Nöbauer, Yuanlong Zhang, Hyewon Kim, et al.
Nature Methods (2023) Vol. 20, Iss. 4, pp. 600-609
Open Access | Times Cited: 20
Segmentation of neurons from fluorescence calcium recordings beyond real time
Yijun Bao, Somayyeh Soltanian-Zadeh, Sina Farsiu, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 7, pp. 590-600
Open Access | Times Cited: 45
MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning
Dongsheng Xiao, Brandon J. Forys, Matthieu P. Vanni, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 39
Neurophotonic Tools for Microscopic Measurements and Manipulation: Status Report
Ahmed S. Abdelfattah, Srinivasa Rao Allu, Robert E. Campbell, et al.
Neurophotonics (2022) Vol. 9, Iss. S1
Open Access | Times Cited: 33
Perceptions of Justice By Algorithms
Gizem Yalcin, Erlis Themeli, Evert Stamhuis, et al.
Artificial Intelligence and Law (2022) Vol. 31, Iss. 2, pp. 269-292
Open Access | Times Cited: 32
Sharing neurophysiology data from the Allen Brain Observatory
Saskia de Vries, Joshua H. Siegle, Christof Koch
eLife (2023) Vol. 12
Open Access | Times Cited: 16
Cell Calcium Imaging as a Reliable Method to Study Neuron–Glial Circuits
Ricardo Augusto de Melo Reis, Hércules Rezende Freitas, Fernando G. de Mello
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 45
RAC-CNN: multimodal deep learning based automatic detection and classification of rod and cone photoreceptors in adaptive optics scanning light ophthalmoscope images
David Cunefare, Alison L Huckenpahler, Emily J Patterson, et al.
Biomedical Optics Express (2019) Vol. 10, Iss. 8, pp. 3815-3815
Open Access | Times Cited: 42
Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness
Andrea Antonini, Andrea Sattin, Monica Moroni, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 41
Deep learning approaches for neural decoding across architectures and recording modalities
Jesse A. Livezey, Joshua I. Glaser
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1577-1591
Open Access | Times Cited: 40
VolPy: Automated and scalable analysis pipelines for voltage imaging datasets
Changjia Cai, Johannes Friedrich, Amrita Singh, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 4, pp. e1008806-e1008806
Open Access | Times Cited: 36
Online analysis of microendoscopic 1-photon calcium imaging data streams
Johannes Friedrich, Andrea Giovannucci, Eftychios A. Pnevmatikakis
PLoS Computational Biology (2021) Vol. 17, Iss. 1, pp. e1008565-e1008565
Open Access | Times Cited: 35
Weakly supervised individual ganglion cell segmentation from adaptive optics OCT images for glaucomatous damage assessment
Somayyeh Soltanian-Zadeh, Kazuhiro Kurokawa, Zhuolin Liu, et al.
Optica (2021) Vol. 8, Iss. 5, pp. 642-642
Open Access | Times Cited: 32
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