Di Wu
Analytical Chemistry · with He · 2008–2020
A researcher in the Science corpus: 9 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 84 citations into it; #283 of 1,254 by trust here, #72 by citations
- Biophysics — 28 citations into it
- Animal Science and Zoology — 27 citations into it
- Biomedical Engineering — 27 citations into it; #2,308 of 10,734 by trust here, #3,231 by citations
- Industrial and Manufacturing Engineering — 24 citations into it
- Plant Science — 22 citations into it
- Food Science — 14 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Di Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Da‐Wen Sun
- Gamal ElMasry
- F. Mendoza
- G. Paschos
- D.A. Forsyth
- R. Mancini
- J. Aguilera
- A. Iqbal
- K. León
- Paul Allen
Who trusts Di Wu overall
- Athina Ropodi
- Da‐Wen Sun
- Efstathios Z Panagou
- K. Golhani
- Jiangbo Li
- Ji Ma
- Jun‐Hu Cheng
- Hongbin Pu
- George - John Nychas
- Dimitrios E Pavlidis
Papers from Di Wu's perspective
Ordered by how strongly the researchers Di Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Computer Vision: A Modern Approach
- Perceptually uniform color spaces for color texture analysis: an empirical evaluation (IEEE Transactions on Image Processing)
- Application of Image Analysis for Classification of Ripening Bananas
- Color measurement in L ¿ a ¿ b ¿ units from RGB digital images
- Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
- Extending the use of visible/near-infrared reflectance spectrophotometers to measure colour of food and agricultural products
- Pork quality and marbling level assessment using a hyperspectral imaging system
- Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (Food and Bioprocess Technology)
- Calibrated color measurements of agricultural foods using image analysis
- Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
Their papers
- Colour measurements by computer vision for food quality control – A review (2013) — 571 citations
- Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn (2013) — 104 citations
- Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications (2013) — 472 citations
- Models fused with successive CARS-PLS for measurement of the soluble solids content of Chinese bayberry by vis-NIRS technology (2020) — 50 citations
- Application of Electronic Nose with Multivariate Analysis and Sensor Selection for Botanical Origin Identification and Quality Determination of Honey (2015) — 79 citations
- Potential of hyperspectral imaging combined with chemometric analysis for assessing and visualising tenderness distribution in raw farmed salmon fillets (2014) — 97 citations
- Nondestructive Differentiation of Panax Species Using Visible and Shortwave Near-Infrared Spectroscopy (2011) — 46 citations
- Uninformative variable elimination for improvement of successive projections algorithm on spectral multivariable selection with different calibration algorithms for the rapid and non-destructive determination of protein content in dried laver (2011) — 63 citations
- Early Detection of Botrytis cinerea on Eggplant Leaves Based on Visible and Near-Infrared Spectroscopy (2008) — 125 citations