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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:

Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising
Xinyang Li, Guoxun Zhang, Jiamin Wu, et al.
Nature Methods (2021) Vol. 18, Iss. 11, pp. 1395-1400
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

An inter-organ neural circuit for appetite suppression
Tong Zhang, Matthew H. Perkins, Hao Chang, et al.
Cell (2022) Vol. 185, Iss. 14, pp. 2478-2494.e28
Open Access | Times Cited: 101
Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit
Xinyang Li, Yixin Li, Yiliang Zhou, et al.
Nature Biotechnology (2022) Vol. 41, Iss. 2, pp. 282-292
Open Access | Times Cited: 94
High-speed low-light in vivo two-photon voltage imaging of large neuronal populations
Jelena Platiša, Xin Ye, Allison M. Ahrens, et al.
Nature Methods (2023) Vol. 20, Iss. 7, pp. 1095-1103
Open Access | Times Cited: 68
Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue
Zhifeng Zhao, Yiliang Zhou, Bo Liu, et al.
Cell (2023) Vol. 186, Iss. 11, pp. 2475-2491.e22
Open Access | Times Cited: 43
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry
Yuxuan Richard Xie, Daniel C. Castro, Stanislav S. Rubakhin, et al.
Nature Methods (2024) Vol. 21, Iss. 3, pp. 521-530
Open Access | Times Cited: 20
Stress-sensitive neural circuits change the gut microbiome via duodenal glands
Hao Chang, Matthew H. Perkins, Leonardo Santana Novaes, et al.
Cell (2024) Vol. 187, Iss. 19, pp. 5393-5412.e30
Open Access | Times Cited: 14
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
Chenxi Ma, Weimin Tan, Ruian He, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1558-1567
Open Access | Times Cited: 13
Long-term intravital subcellular imaging with confocal scanning light-field microscopy
Zhi Lü, Siqing Zuo, Minghui Shi, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 12
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
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: 23
Self-supervised denoising for multimodal structured illumination microscopy enables long-term super-resolution live-cell imaging
X. Chen, Chang Qiao, Tao Jiang, et al.
PhotoniX (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 7
Supervised multi-frame dual-channel denoising enables long-term single-molecule FRET under extremely low photon budget
Miao Yu, Yuxiao Cheng, Yang Xia, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Deep Equilibrium Unfolding learning for noise estimation and removal in optical molecular imaging
Lidan Fu, Lingbing Li, Binchun Lu, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 120, pp. 102492-102492
Closed Access
Precise Sizing and Collision Detection of Functional Nanoparticles by Deep Learning Empowered Plasmonic Microscopy
Wang Jing-an, Yi Sun, Yuting Yang, et al.
Advanced Science (2025)
Open Access
Fast In Vivo Two‐Photon Fluorescence Imaging via Lateral and Axial Resolution Restoration With Self‐Supervised Learning
Zhengyuan Pan, Man Lei, Hongen Liao, et al.
Journal of Biophotonics (2025)
Closed Access
Imaging in focus: An introduction to denoising bioimages in the era of deep learning
Romain F. Laine, Guillaume Jacquemet, Alexander Krull
The International Journal of Biochemistry & Cell Biology (2021) Vol. 140, pp. 106077-106077
Open Access | Times Cited: 48
Multi-focus light-field microscopy for high-speed large-volume imaging
Yi Zhang, Yuling Wang, Mingrui Wang, et al.
PhotoniX (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 32
Fast, efficient, and accurate neuro-imaging denoising via supervised deep learning
Shivesh Chaudhary, Sihoon Moon, Hang Lu
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 30
Spatial redundancy transformer for self-supervised fluorescence image denoising
Xinyang Li, Xiaowan Hu, Xingye Chen, et al.
Nature Computational Science (2023) Vol. 3, Iss. 12, pp. 1067-1080
Open Access | Times Cited: 18
Challenges and opportunities in bioimage analysis
Xinyang Li, Yuanlong Zhang, Jiamin Wu, et al.
Nature Methods (2023) Vol. 20, Iss. 7, pp. 958-961
Closed Access | Times Cited: 17
Emerging Nanoagents for Medical X-ray Imaging
Qinxia Wu, Qianyu Zheng, Yu He, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 1, pp. 33-48
Closed Access | Times Cited: 14
Surmounting photon limits and motion artifacts for biological dynamics imaging via dual-perspective self-supervised learning
Binglin Shen, Chenggui Luo, Wen Pang, et al.
PhotoniX (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 5
SpiDe-Sr: blind super-resolution network for precise cell segmentation and clustering in spatial proteomics imaging
Rui Chen, Jiasu Xu, Boqian Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Deep intravital brain tumor imaging enabled by tailored three-photon microscopy and analysis
Marc C. Schubert, Stella J Soyka, Amr Tamimi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Self-inspired learning for denoising live-cell super-resolution microscopy
Liying Qu, Shiqun Zhao, Yuanyuan Huang, et al.
Nature Methods (2024)
Closed Access | Times Cited: 4
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