Shaozhe Wen

A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968′ using machine vision combined with deep learning

Keling Tu, Shaozhe Wen, Ying Cheng et al. · Computers and Electronics in Agriculture · 2021 · 69 citations

Computing, Computer Science, Plant Sciences +14

A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning

Keling Tu, Shaozhe Wen, Ying Cheng et al. · Plant Methods · 2022 · 51 citations · Full text

Agriculture, Crop Sciences, Plant Sciences +17

Identification of QTLs controlling grain protein concentration using a high-density SNP and SSR linkage map in barley (Hordeum vulgare L.)

Chaofeng Fan, Huijie Zhai, Huifang Wang et al. · BMC Plant Biology · 2017 · 26 citations · Full text

Agriculture, Crop Sciences, Genetics +17

Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.)

Jinghui Li, Shaozhe Wen, Chaofeng Fan et al. · Theoretical and Applied Genetics · 2020 · 22 citations

Life Sciences, Genetics, Plant Sciences +14

A Major Quantitative Trait Loci Cluster Controlling Three Components of Yield and Plant Height Identified on Chromosome 4B of Common Wheat

Shaozhe Wen, Minghu Zhang, Keling Tu et al. · Frontiers in Plant Science · 2022 · 16 citations · Full text

Agriculture, Crop Sciences, Genetics +17