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 · 158 citations

Computing, Biostatistics, Optimization +16

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 · 124 citations

Agriculture, Food Science, Data Mining +15

Calibration transfer via an extreme learning machine auto-encoder

Wo-Ruo Chen, Jun Bin, Hongmei Lü et al. · The Analyst · 2016 · 66 citations

Computing, Computer Science, Data Science +8

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 · 49 citations

Agriculture, Plant Sciences, Forest Biometrics +4

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

Natural Sciences, Chemistry, Food Science +17