Li Liu
Analytical Chemistry · with Huang · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 34 citations into it
- Animal Science and Zoology — 13 citations into it
- Biomedical Engineering — 10 citations into it
- Plant Science — 9 citations into it
Whom Li Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aoife A. Gowen
- Jianwei Qin
- Gustau Camps-Valls
- Da‐Wen Sun
- Yaoze Feng
- L. Liu
- Colm O'Donnell
- Michael O. Ngadi
- C. Singh
- Jiangbo Li
Papers from Li Liu's perspective
Ordered by how strongly the researchers Li Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
- Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers (Computers and Electronics in Agriculture)
- Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
- Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus)
- Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins
- Application of NIR hyperspectral imaging for discrimination of lamb muscles
- An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis (IEEE Transactions on Information Theory)
- Visible/near-infrared hyperspectral imaging for beef tenderness prediction
- Hyperspectral imaging for the investigation of quality deterioration in sliced mushrooms (Agaricus bisporus) during storage
- Detection of common defects on oranges using hyperspectral reflectance imaging
Their papers
- Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014) — 350 citations
- Assessment of intramuscular fat content of pork using NIR hyperspectral images of rib end (2017) — 48 citations