Haiyan Cen
Ecology · 2011–2020
A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Ecology — 28 citations into it; #10,460 of 10,717 by trust here, #5,221 by citations
- Analytical Chemistry — 23 citations into it; #1,203 of 1,254 by trust here, #327 by citations
Whom Haiyan Cen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastiano Bruno Serpico
- Stephen Westland
- Muhammad Aliyu Sulaiman
- Hanchuan Peng
- Renfu Lu
- Lorenzo Bruzzone
- Caterina Ripamonti
- Jane Labadin
- Fuhui Long
Who trusts Haiyan Cen overall
Papers from Haiyan Cen's perspective
Ordered by how strongly the researchers Haiyan Cen trusts endorse each paper. Same corpus, a different order for every researcher.
- Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
- A Statistical Approach to Texture Classification from Single Images
- Detection of bruises on apples using near-infrared hyperspectral imaging
- A new search algorithm for feature selection in hyperspectral remote sensing images (IEEE Transactions on Geoscience and Remote Sensing)
- Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
- Textural Features for Image Classification
- Feature selection based on mutual information (International Conference on Information Technology in Asia)
- Maturity Indices for Apple and Pear
- Prediction of firmness and soluble solids content of blueberries using hyperspectral reflectance imaging
- Computational Colour Science Using MATLAB
Their papers
- Nondestructive quality assessment of chili peppers using near-infrared hyperspectral imaging combined with multivariate analysis (2018) — 57 citations
- Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China (2020) — 266 citations
- Grading of apples based on firmness and soluble solids content using Vis/SWNIR spectroscopy and spectral scattering techniques (2014) — 86 citations
- Relationship of the optical absorption and scattering properties with mechanical and structural properties of apple tissue (2013) — 158 citations
- Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers (2013) — 56 citations
- Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content (2011) — 190 citations