Standout Papers

On the use of deep learning for phase recovery 2024 202686
  1. On the use of deep learning for phase recovery (2024)
    Kaiqiang Wang, Li Song et al. Light Science & Applications

Immediate Impact

18 standout
Sub-graph 1 of 7

Citing Papers

Status, advancements and prospects of deep learning methods applied in forest studies
2024 Standout
Quantitative phase imaging based on holography: trends and new perspectives
2024 Standout
1 intermediate paper

Works of Jiazhen Dou being referenced

Y-Net: a one-to-two deep learning framework for digital holographic reconstruction
2019

Author Peers

Author Last Decade Papers Cites
Jiazhen Dou 228 108 56 137 35 348
Massimiliano Locatelli 219 66 132 92 25 367
Pavan Chandra Konda 204 104 26 77 22 409
Igor Shevkunov 268 82 53 168 42 393
Ahmed B. Ayoub 184 148 44 55 15 314
Gabriel Y. Sirat 174 75 58 106 40 334
Tomoya Nakamura 101 86 61 73 51 316
Kai Wen 260 90 18 76 24 340
Antony C. S. Chan 202 178 75 48 21 388
Shigeru MURATA 285 73 75 109 31 383
Dongyu Yang 103 50 98 129 47 346

All Works

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2026