Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Multiview confocal super-resolution microscopy
Yicong Wu, Xiaofei Han, Yijun Su, et al.
Nature (2021) Vol. 600, Iss. 7888, pp. 279-284
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

DNA Walkers for Biosensing Development
Lu Song, Ying Zhuge, Xiaolei Zuo, et al.
Advanced Science (2022) Vol. 9, Iss. 18
Open Access | Times Cited: 123
Incorporating the image formation process into deep learning improves network performance
Yue Li, Yijun Su, Min Guo, et al.
Nature Methods (2022) Vol. 19, Iss. 11, pp. 1427-1437
Open Access | Times Cited: 73
Three-dimensional structured illumination microscopy with enhanced axial resolution
Xuesong Li, Yicong Wu, Yijun Su, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 9, pp. 1307-1319
Open Access | Times Cited: 67
Mitochondria on the move: Horizontal mitochondrial transfer in disease and health
Lan‐Feng Dong, Jakub Rohlena, Renata Zobalová, et al.
The Journal of Cell Biology (2023) Vol. 222, Iss. 3
Open Access | Times Cited: 50
Live-cell imaging powered by computation
Hari Shroff, Ilaria Testa, Florian Jug, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 25, Iss. 6, pp. 443-463
Closed Access | Times Cited: 23
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: 15
Virtual-scanning light-field microscopy for robust snapshot high-resolution volumetric imaging
Zhi Lü, Yu Liu, Manchang Jin, et al.
Nature Methods (2023) Vol. 20, Iss. 5, pp. 735-746
Open Access | Times Cited: 31
A Universal and Accurate Method for Easily Identifying Components in Raman Spectroscopy Based on Deep Learning
Xiaqiong Fan, Yue Wang, Chuanxiu Yu, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 11, pp. 4863-4870
Closed Access | Times Cited: 30
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: 27
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: 15
Self-supervised denoising for multimodal structured illumination microscopy enables long-term super-resolution live-cell imaging
Xingye Chen, Chang Qiao, Tao Jiang, et al.
PhotoniX (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 10
Phasor-FSTM: a new paradigm for multicolor super-resolution imaging of living cells based on fluorescence modulation and lifetime multiplexing
Luwei Wang, Yue Chen, Jiaqing Guo, et al.
Light Science & Applications (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy
Min Guo, Yicong Wu, Chad M. Hobson, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Deep self-learning enables fast, high-fidelity isotropic resolution restoration for volumetric fluorescence microscopy
Kefu Ning, Bolin Lu, Xiaojun Wang, et al.
Light Science & Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 21
Revealing hidden patterns in deep neural network feature space continuum via manifold learning
Md Tauhidul Islam, Zixia Zhou, Hongyi Ren, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Evolution of the SARS-CoV-2 genome and emergence of variants of concern
Iman Safari, Elahe Elahi
Archives of Virology (2021) Vol. 167, Iss. 2, pp. 293-305
Open Access | Times Cited: 37
Common methods in mitochondrial research (Review)
Yiyuan Yin, Haitao Shen
International Journal of Molecular Medicine (2022) Vol. 50, Iss. 4
Open Access | Times Cited: 25
Machine learning-assisted structure annotation of natural products based on MS and NMR data
Guilin Hu, Ming‐Hua Qiu
Natural Product Reports (2023) Vol. 40, Iss. 11, pp. 1735-1753
Closed Access | Times Cited: 16
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
Super-resolution fluorescence microscopic imaging in pathogenesis and drug treatment of neurological disease
Jihong Gong, Ziqi Jin, Huidan Chen, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114791-114791
Closed Access | Times Cited: 13
System- and sample-agnostic isotropic three-dimensional microscopy by weakly physics-informed, domain-shift-resistant axial deblurring
Jiashu Han, Kunzan Liu, Keith Isaacson, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
A survey of deep learning-based microscopic cell image understanding
Yue Huo, Zixuan Lu, Zhi Deng, et al.
Displays (2025), pp. 102968-102968
Closed Access
Artificial intelligence driven real-time digital oral microscopy for early detection of oral cancer and potentially malignant disorders
Simon A. Fox, Camile S. Farah
(2025) Vol. 3
Closed Access
Perspective on Multiview Super‐Resolution Microscopy: Innovations and Future Directions
Navid Rabiee
Advanced Engineering Materials (2025)
Closed 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
Page 1 - Next Page

Scroll to top