Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Jun Bin
Observed name:
Bin, Jun
Institutions:
Guizhou University,
Changsha Institute of Technology
Observed institutions:
Central South University,
Guizhou University,
China Tobacco,
China Tobacco Hunan Industrial Co., Ltd. (China),
Changsha Institute of Technology,
Hunan Agricultural University
show all 6
ORCID:
0000-0001-5218-1251
Observed ORCID:
0000-0001-5218-1251
OpenAlex ID:
A5045647383
A hybrid variable selection strategy based on continuous shrinkage of variable space in multivariate calibration
2019
·
Yong-Huan Yun
, Jun Bin
, et al.
·
Analytica Chimica Acta
·
159
Application of random forests to select premium quality vegetable oils by their fatty acid composition
2013
·
Fang-fang Ai
, Jun Bin
, et al.
·
Food Chemistry
·
120
Calibration transfer via an extreme learning machine auto-encoder
2016
·
Wo-Ruo Chen
, Jun Bin
, et al.
·
The Analyst
·
68
A modified random forest approach to improve multi-class classification performance of tobacco leaf grades coupled with NIR spectroscopy
2016
·
Jun Bin
, Fang-Fang Ai
, et al.
·
RSC Advances
·
51
Response of rhizosphere soil physicochemical properties and microbial community structure to continuous cultivation of tobacco
2024
·
Bo Gong
, Yi He
, et al.
·
Annals of Microbiology
·
45
PDF
Discrimination of Fresh Tobacco Leaves with Different Maturity Levels by Near-Infrared (NIR) Spectroscopy and Deep Learning
2021
·
Yi Chen
, Jun Bin
, et al.
·
Journal of Analytical Methods in Chemistry
·
44
PDF
Classification of Green and Black Teas by PCA and SVM Analysis of Cyclic Voltammetric Signals from Metallic Oxide-Modified Electrode
2013
·
Nian Liu
, Yizeng Liang
, et al.
·
Food Analytical Methods
·
44
PDF
Calibration transfer of near-infrared spectroscopy by canonical correlation analysis coupled with wavelet transform
2017
·
Jun Bin
, Xin Li
, et al.
·
The Analyst
·
38
An efficient variable selection method based on variable permutation and model population analysis for multivariate calibration of NIR spectra
2016
·
Jun Bin
, Fangfang Ai
, et al.
·
Chemometrics and Intelligent Laboratory Systems
·
30
On-Line Monitoring of the Tobacco Leaf Composition during Flue-Curing by Near-Infrared Spectroscopy and Deep Transfer Learning
2022
·
Kesu Wei
, Jun Bin
, et al.
·
Analytical Letters
·
23
Application of machine vision and convolutional neural networks in discriminating tobacco leaf maturity on mobile devices
2023
·
Yi Chen
, Jun Bin
, et al.
·
Smart Agricultural Technology
·
22
Improved calibration transfer between near-Infrared (NIR) spectrometers using canonical correlation analysis
2019
·
Junxing Yang
, Xiaoping Lou
, et al.
·
Analytical Letters
·
21
Label-free Raman microspectroscopic imaging with chemometrics for cellular investigation of apple ring rot and nondestructive early recognition using near-infrared reflection spectroscopy with machine learning
2023
·
Mei Li
, Lu Zhang
, et al.
·
Talanta
·
20
Application of Chromatographic Technology to Determine Aromatic Substances in Tobacco during Natural Fermentation: A Review
2022
·
Xuefeng Li
, Jun Bin
, et al.
·
Separations
·
20
PDF
Calibration Transfer for Near-Infrared (NIR) Spectroscopy Based on Neighborhood Preserving Embedding
2020
·
Lijuan Chen
, Dawei Liu
, et al.
·
Analytical Letters
·
18
Simultaneous determination of lead and tin at the bismuth film electrode by square wave stripping voltammetry and chemometric methods
2016
·
Wenxian Tang
, Jun Bin
, et al.
·
Analytical Methods
·
13
Supervised principal components: a new method for multivariate spectral analysis
2013
·
Jun Bin
, Fang‐Fang Ai
, et al.
·
Journal of Chemometrics
·
10
Enhancing the selectivity of liquid chromatography–mass spectrometry by using trilinear decomposition on LC‐MS data: An application to three‐way calibration of coeluting analytes in human plasma
2020
·
Xiu‐Fang Yan
, Yan‐Mei Liang
, et al.
·
Journal of Separation Science
·
9
Rapid Determination of Unsaturated Fatty Acids in Vegetable Oil by Raman Spectroscopy and Chemometrics
2016
·
Jun Bin
, Fangfang Ai
, et al.
·
Analytical Letters
·
9
Enhanced Selectivity of Ultraviolet-Visible Absorption Spectroscopy with Trilinear Decomposition on Spectral pH Measurements for the Interference-Free Determination of Rutin and Isorhamnetin in Chinese Herbal Medicine
2021
·
Ping-Rong Zhou
, Zhang-Feng Tang
, et al.
·
Analytical Letters
·
8
[Application of Intelligent Optimization Algorithms to Wavelength Selection of Near-Infrared Spectroscopy].
2017
·
Jun Bin
, Wei Fan
, et al.
·
PubMed
·
8
Selectivity Quantification with the Fluorescent Quantitative Model-Assisted Semi-Selective Probe (Carbon Dots): Accurate Determination of Chlortetracycline in Aqueous Environments with Interference
2023
·
Yang Chen
, Xiu-Fang Yan
, et al.
·
Applied Spectroscopy
·
7
Calibration transfer for near-infrared (NIR) spectroscopy based on local preserving projection
2023
·
Jun Bin
, Xiufang Yan
, et al.
·
Vibrational Spectroscopy
·
7
Multilinear Mathematical Separation in Chromatography
2021
·
Yi Chen
, Cong Ming Zou
, et al.
·
Separations
·
4
PDF
Automatic grading of flue-cured tobacco leaves based on NIR technology and extreme learning machine algorithm
2017
·
Jun Bin
, Zhou Jiheng
, et al.
·
Zhongguo yancao xuebao
·
3
Show more works
View as search
Works count:
43
Citation count:
809
H-index:
15
I10-index:
17
Year
Topic
Type