Standout Papers

All-optical machine learning using diffractive deep neural networks 2015 2026 2018 2022 1.3k
  1. All-optical machine learning using diffractive deep neural networks (2018)
    Xing Lin, Yair Rivenson et al. Science
  2. Phase recovery and holographic image reconstruction using deep learning in neural networks (2017)
    Yair Rivenson, Yibo Zhang et al. Light Science & Applications
  3. Inference in artificial intelligence with deep optics and photonics (2020)
    Gordon Wetzstein, Aydogan Özcan et al. Nature
  4. Emerging Technologies for Next-Generation Point-of-Care Testing (2015)
    Sandeep Kumar Vashist, Peter B. Luppa et al. Trends in biotechnology
  5. Deep learning enables cross-modality super-resolution in fluorescence microscopy (2018)
    Hongda Wang, Yair Rivenson et al. Nature Methods
  6. On the use of deep learning for computational imaging (2019)
    George Barbastathis, Aydogan Özcan et al. Optica
  7. Deep learning microscopy (2017)
    Yair Rivenson, Zoltán Göröcs et al. Optica
  8. Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy (2012)
    Alon Greenbaum, Wei Luo et al. Nature Methods
  9. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning (2019)
    Yair Rivenson, Hongda Wang et al. Nature Biomedical Engineering
  10. Deep learning-enabled virtual histological staining of biological samples (2023)
    Bijie Bai, Xilin Yang et al. Light Science & Applications
  11. Computational imaging without a computer: seeing through random diffusers at the speed of light (2022)
    Yi Luo, Yifan Zhao et al. arXiv (Cornell University)
  12. Diffractive optical computing in free space (2024)
    Jingtian Hu, Deniz Mengü et al. Nature Communications
  13. Machine learning in point-of-care testing: innovations, challenges, and opportunities (2025)
    Gyeo‐Re Han, Merve Eryılmaz et al. Nature Communications

Immediate Impact

2 by Nobel laureates 13 from Science/Nature 77 standout
Sub-graph 1 of 21

Citing Papers

A guidance to intelligent metamaterials and metamaterials intelligence
2025 Standout
Printable molecule-selective core–shell nanoparticles for wearable and implantable sensing
2025 Standout

Works of Aydogan Özcan being referenced

Wearable and Implantable Sensors for Biomedical Applications
2018
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
and 1 more

Author Peers

Author Last Decade Papers Cites
Aydogan Özcan 11181 7135 4584 4707 396 23.3k
Michael S. Feld 14432 11553 11049 2649 394 35.3k
Ramachandra R. Dasari 11904 6920 8257 1862 221 24.7k
YongKeun Park 4740 6709 2837 919 298 12.5k
Stefan W. Hell 17144 8663 28189 3295 452 49.6k
W. E. Moerner 9197 10597 9424 6977 370 29.1k
Ge Wang 12446 565 841 1013 884 25.2k
Demetri Psaltis 5554 8067 1060 8707 516 18.1k
Colin J. R. Sheppard 7662 6433 4849 1860 485 13.5k
Kishan Dholakia 14864 19096 2360 4897 434 26.3k
Xiaowei Zhuang 8515 4620 14977 2147 189 39.9k

All Works

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Rankless by CCL
2026