Standout Papers

Deep Learning in Medical Ultrasound Analysis: A Review 2019 2026 2021 2023 458
  1. Deep Learning in Medical Ultrasound Analysis: A Review (2019)
    Shengfeng Liu, Yi Wang et al. Engineering

Immediate Impact

56 standout
Sub-graph 1 of 24

Citing Papers

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
Vitamin D: Evidence-Based Health Benefits and Recommendations for Population Guidelines
2025 Standout
2 intermediate papers

Works of Shengfeng Liu being referenced

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images
2019
MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder
2017

Author Peers

Author Last Decade Papers Cites
Shengfeng Liu 103 7 140 301 203 40 1.0k
Rogier R. Wildeboer 76 1 56 310 87 33 884
Ximin Wang 86 6 20 271 278 27 925
Alan C. Nelson 77 5 46 275 65 48 1.1k
Ho Young Park 243 22 106 75 41 67 1.4k
Yuxin Huang 86 16 27 125 58 95 996
Huihua Kenny Chiang 126 4 9 179 89 65 851
Yoon‐Chul Kim 45 32 11 336 117 64 1.1k
Jin K. Kim 27 222 117 43 125 1.1k
R A Lerski 31 6 20 983 131 42 1.4k
M. Bauer 58 2 69 401 26 36 867

All Works

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2026