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

8 from Science/Nature 48 standout
Sub-graph 1 of 16

Citing Papers

Diffractive optical computing in free space
2024 Standout
Status, advancements and prospects of deep learning methods applied in forest studies
2024 Standout
2 intermediate papers

Works of Zhenbo Ren being referenced

End-to-end deep learning framework for digital holographic reconstruction
2019
Learning-based nonparametric autofocusing for digital holography
2018

Author Peers

Author Last Decade Papers Cites
Zhenbo Ren 556 445 403 41 815
Kaiqiang Wang 456 522 295 28 849
Carlos Ferreira 435 380 269 53 831
Caojin Yuan 679 372 317 67 908
Jiachen Wu 412 296 347 41 764
Linpeng Lu 531 277 110 23 770
Vani K. Chhaniwal 621 324 320 46 790
Cheng Shen 482 314 126 43 842
Kerkil Choi 378 239 184 18 738
Konstantinos Falaggis 464 540 224 50 941
Yao Fan 643 332 106 21 806

All Works

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2026