Standout Papers

Deep learning enables cross-modality super-resolution in fluorescence microscopy 2017 2026 2020 2023 505
  1. Deep learning enables cross-modality super-resolution in fluorescence microscopy (2018)
    Hongda Wang, Yair Rivenson et al. Nature Methods
  2. Deep learning microscopy (2017)
    Yair Rivenson, Zoltán Göröcs et al. Optica
  3. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning (2019)
    Yair Rivenson, Hongda Wang et al. Nature Biomedical Engineering

Immediate Impact

21 from Science/Nature 72 standout
Sub-graph 1 of 22

Citing Papers

Full-colour 3D holographic augmented-reality displays with metasurface waveguides
2024 StandoutNature
Porous materials as effective chemiresistive gas sensors
2024 Standout
2 intermediate papers

Works of Hongda Wang being referenced

Deep learning microscopy
2017 Standout

Author Peers

Author Last Decade Papers Cites
Hongda Wang 642 813 558 648 27 1.9k
Harun Günaydın 729 708 543 589 7 1.9k
Kevin de Haan 351 651 373 396 30 1.5k
Yibo Zhang 1329 830 818 876 58 3.0k
Zoltán Göröcs 838 512 479 999 34 2.1k
Jonghee Yoon 854 455 280 860 50 2.0k
Cédric Vonesch 311 417 210 496 35 1.7k
Zahid Yaqoob 1642 746 470 1599 88 2.9k
Ming Lei 1301 514 378 924 129 2.1k
Ryoichi Horisaki 1169 362 691 815 111 2.2k
Youngwoon Choi 1187 290 363 1012 67 2.2k

All Works

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2026