Fei Liu
Analytical Chemistry · Food and Bioprocess Technology · 2008–2020
A researcher in the Science corpus: 10 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 54 citations into it; #839 of 1,254 by trust here, #205 by citations
- Biomedical Engineering — 28 citations into it
- Plant Science — 26 citations into it
- Animal Science and Zoology — 11 citations into it; #218 of 476 by trust here, #194 by citations
- Ecology — 7 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Fei Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gamal ElMasry
- Johan A. K. Suykens
- Yong He
- Da‐Wen Sun
- Vladimir Naumovich Vapni
- Il-Gyo Chong
- Xiaolei Zhang
Who trusts Fei Liu overall
Papers from Fei Liu's perspective
Ordered by how strongly the researchers Fei Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Application of Near-Infrared Hyperspectral Imaging with Variable Selection Methods to Determine and Visualize Caffeine Content of Coffee Beans (2016) — 97 citations
- Shape induced reflectance correction for non-destructive determination and visualization of soluble solids content in winter jujubes using hyperspectral imaging in two different spectral ranges (2020) — 58 citations
- Practicability investigation of using near-infrared hyperspectral imaging to detect rice kernels infected with rice false smut in different conditions (2020) — 58 citations
- Rapid Classification of Wheat Grain Varieties Using Hyperspectral Imaging and Chemometrics (2019) — 105 citations
- Application of Deep Learning in Food: A Review. (2019) — 469 citations
- Rapid and non-destructive measurement of spinach pigments content during storage using hyperspectral imaging with chemometrics (2017) — 68 citations
- Ripeness Classification of Astringent Persimmon Using Hyperspectral Imaging Technique (2014) — 104 citations
- Detecting macronutrients content and distribution in oilseed rape leaves based on hyperspectral imaging (2013) — 129 citations
- Application of Visible and Near Infrared Hyperspectral Imaging to Differentiate Between Fresh and Frozen–Thawed Fish Fillets (2013) — 174 citations
- Classification of brands of instant noodles using Vis/NIR spectroscopy and chemometrics (2008) — 51 citations