Jun Bin

A hybrid variable selection strategy based on continuous shrinkage of variable space in multivariate calibration

Yong‐Huan Yun, Jun Bin, Dongli Liu et al. · Analytica Chimica Acta · 2019 · 153 citations

Continuous Shrinkage, Variable Space, Engineering +10

Application of random forests to select premium quality vegetable oils by their fatty acid composition

Fangfang Ai, Jun Bin, Zhimin Zhang et al. · Food Chemistry · 2013 · 121 citations

Fatty Acid Composition, Biostatistics, Statistics +1

Calibration transfer via an extreme learning machine auto-encoder

Wo-Ruo Chen, Jun Bin, Hongmei Lü et al. · The Analyst · 2016 · 65 citations

A modified random forest approach to improve multi-class classification performance of tobacco leaf grades coupled with NIR spectroscopy

Jun Bin, Fangfang Ai, Wei Fan et al. · RSC Advances · 2016 · 48 citations

Nir Spectroscopy, Plant Analysis, Precision Agriculture +15

Classification of Green and Black Teas by PCA and SVM Analysis of Cyclic Voltammetric Signals from Metallic Oxide-Modified Electrode

Nian Liu, Yi‐Zeng Liang, Jun Bin et al. · Food Analytical Methods · 2013 · 44 citations · Full text

Engineering, Green Chemistry, Chemistry +16