69037人已查看 《CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS》 期刊2024最新IF预测值
预警说明查看说明
时间
预警情况
2024年02月发布的2024版
不在预警名单中
2023年01月发布的2023版
不在预警名单中
2021年12月发布的2021版
不在预警名单中
2020年12月发布的2020版
不在预警名单中
2025年预警名单预测
无异常数据 期刊预警概率很低
结果仅供参考
*来源:中科院《 国际期刊预警名单》
中科院分区查看说明
版本
大类学科
小类学科
Top期刊
综述期刊
2023年12月最新升级版
化学2区
CHEMISTRY, ANALYTICAL
分析化学
3区
INSTRUMENTS & INSTRUMENTATION
仪器仪表
3区
STATISTICS & PROBABILITY
统计学与概率论
3区
AUTOMATION & CONTROL SYSTEMS
自动化与控制系统
3区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
数学跨学科应用
3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
3区
否
否
2022年12月升级版
计算机科学3区
CHEMISTRY, ANALYTICAL
分析化学
3区
INSTRUMENTS & INSTRUMENTATION
仪器仪表
3区
STATISTICS & PROBABILITY
统计学与概率论
3区
AUTOMATION & CONTROL SYSTEMS
自动化与控制系统
3区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
数学跨学科应用
3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
3区
否
否
2021年12月升级版
工程技术3区
CHEMISTRY, ANALYTICAL
分析化学
3区
INSTRUMENTS & INSTRUMENTATION
仪器仪表
3区
STATISTICS & PROBABILITY
统计学与概率论
2区
AUTOMATION & CONTROL SYSTEMS
自动化与控制系统
3区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
数学跨学科应用
2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
3区
否
否
2021年12月升级版
计算机科学3区
CHEMISTRY, ANALYTICAL
分析化学
3区
INSTRUMENTS & INSTRUMENTATION
仪器仪表
3区
STATISTICS & PROBABILITY
统计学与概率论
3区
AUTOMATION & CONTROL SYSTEMS
自动化与控制系统
3区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
数学跨学科应用
3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
3区
否
否
2020年12月升级版
计算机科学3区
CHEMISTRY, ANALYTICAL
分析化学
3区
INSTRUMENTS & INSTRUMENTATION
仪器仪表
3区
STATISTICS & PROBABILITY
统计学与概率论
3区
AUTOMATION & CONTROL SYSTEMS
自动化与控制系统
3区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
数学跨学科应用
3区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
3区
否
否
JCR分区
WOS分区等级:Q1区
版本
按学科
分区
WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of
Science)为每个学科内的期刊按照IF数值排序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2022-2023年最新版)
CHEMISTRY, ANALYTICAL
Q2
STATISTICS & PROBABILITY
Q1
AUTOMATION & CONTROL SYSTEMS
Q2
INSTRUMENTS & INSTRUMENTATION
Q1
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q2
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Q1
测一测你投这本期刊的成功率
【官方推荐】国内首个期刊投稿预测系统,多维度分析投稿成功率,助你精准决策
12493
人已预测
期刊介绍
Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines.Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data.The journal deals with the following topics:1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.)2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered.3) Development of new software that provides novel tools or truly advances the use of chemometrical methods.4) Well characterized data sets to test performance for the new methods and software.The journal complies with International Committee of Medical Journal Editors' Uniform requirements for manuscripts.
A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics
来源期刊:Chemometrics and Intelligent Laboratory Systems
DOI:10.1016/J.CHEMOLAB.2018.12.003
Recognition and sensing of organic compounds using analytical methods, chemical sensors, and pattern recognition approaches
来源期刊:Chemometrics and Intelligent Laboratory Systems
DOI:10.1016/J.CHEMOLAB.2018.12.008
Image-based process monitoring using deep learning framework
来源期刊:Chemometrics and Intelligent Laboratory Systems
DOI:10.1016/J.CHEMOLAB.2019.03.008
A conceptual view to the area correlation constraint in multivariate curve resolution
来源期刊:Chemometrics and Intelligent Laboratory Systems
DOI:10.1016/J.CHEMOLAB.2019.04.009
iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection
来源期刊:Chemometrics and Intelligent Laboratory Systems