Standout Papers

Deep learning enables cross-modality super-resolution in fluorescence microscopy 2018 2026 2020 2023 505
  1. Deep learning enables cross-modality super-resolution in fluorescence microscopy (2018)
    Hongda Wang, Yair Rivenson et al. Nature Methods

Immediate Impact

10 from Science/Nature 60 standout
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Citing Papers

In vivo NIR-II fluorescence imaging for biology and medicine
2024 Standout
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
2 intermediate papers

Works of Ronald Gao being referenced

Deep learning enables cross-modality super-resolution in fluorescence microscopy
2018 Standout

Author Peers

Author Last Decade Papers Cites
Ronald Gao 295 86 174 145 2 507
Chang Qiao 295 77 175 155 13 477
Thomas Chong 190 78 121 77 9 530
Kevan Shah 247 47 180 92 7 517
Haosen Liu 272 52 159 72 7 445
Thomas Blasi 257 54 156 56 8 484
Chengbo Yin 301 22 254 35 9 504
José Angel Conchello 191 51 107 52 4 522
M Hadravský 296 29 211 53 9 528
Junchao Fan 343 26 196 66 16 551
Chunyan Shan 316 17 262 64 11 529

All Works

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2026