Jianwei Qin

Analytical Chemistry · 2009–2022

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 41 citations into it; #652 of 1,254 by trust here, #299 by citations

Whom Jianwei Qin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. H. Grahn
2. Renfu Lu
3. Aoife A. Gowen
4. Chein-I. Chang
5. D. Lorente
6. Paul Geladi
7. Juan Gómez-Sanchís
8. Nuria Aleixos
9. Colm O'Donnell

Who trusts Jianwei Qin overall

1. Hui Huang
2. Li Liu
3. Gamal ElMasry
4. Han Li
5. D. Lorente
6. Da‐Wen Sun
7. Michael O. Ngadi
8. M. Kamruzzaman
9. D. Saha
10. Won Suk Lee

Papers from Jianwei Qin's perspective

Ordered by how strongly the researchers Jianwei Qin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
2. Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
3. Multispectral images of peach related to firmness and maturity at harvest
4. Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers (Computers and Electronics in Agriculture)
5. Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging
6. Prediction of optimal cooking time for boiled potatoes by hyperspectral imaging
7. Development of a multi-spectral vision system for the detection of defects on apples
8. Techniques and applications of hyperspectral image analysis
9. Detection of bruises on apples using near-infrared hyperspectral imaging
10. Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (Food and Bioprocess Technology)

Their papers

• Investigation of reflectance, fluorescence, and Raman hyperspectral imaging techniques for rapid detection of aflatoxins in ground maize (2022) — 46 citations
• Detection of fish fillet substitution and mislabeling using multimode hyperspectral imaging techniques (2020) — 83 citations
• Maize seed classification using hyperspectral image coupled with multi-linear discriminant analysis (2019) — 86 citations
• Hyperspectral image-based multi-feature integration for TVB-N measurement in pork (2018) — 64 citations
• Hyperspectral and multispectral imaging for evaluating food safety and quality (2013) — 384 citations
• Classification of grapefruit peel diseases using color texture feature analysis (2009) — 143 citations
• Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence (2009) — 268 citations