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Chemometrics and Intelligent Laboratory Systems
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Chemometrics and Intelligent Laboratory Systems
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Spectroscopy
3.8
(top 4%)
Impact Factor
4.1
(top 4%)
extended IF
137
(top 2%)
H-Index
1.8K
authors
4.3K
papers
121.9K
citations
6K
citing journals
47K
citing authors
Most Cited Articles of Chemometrics and Intelligent Laboratory Systems
Title
Year
Citations
PLS-regression: a basic tool of chemometrics
2001
5.8K
PARAFAC. Tutorial and applications
1997
1.9K
Least squares formulation of robust non-negative factor analysis
1997
1.3K
Performance of some variable selection methods when multicollinearity is present
2005
1.2K
SIMPLS: An alternative approach to partial least squares regression
1993
1.2K
The Mahalanobis distance
2000
1.2K
Multivariate curve resolution applied to second order data
1995
1.1K
Disturbance detection and isolation by dynamic principal component analysis
1995
934
A review of variable selection methods in Partial Least Squares Regression
2012
892
A graphical user-friendly interface for MCR-ALS: a new tool for multivariate curve resolution in MATLAB
2005
852
The N-way Toolbox for MATLAB
2000
828
Orthogonal signal correction of near-infrared spectra
1998
769
Experimental design and optimization
1998
762
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
2001
743
Introduction to multi-layer feed-forward neural networks
1997
698
Genetic algorithms applied to feature selection in PLS regression: how and when to use them
1998
583
Monte Carlo cross validation
2001
571
Multi-way partial least squares in monitoring batch processes
1995
538
Process analysis, monitoring and diagnosis, using multivariate projection methods
1995
519
MCR-ALS GUI 2.0: New features and applications
2015
466
Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
2000
432
Particle swarm optimization (PSO). A tutorial
2015
419
Nonlinear PLS modeling
1989
419
Further exploring rm2 metrics for validation of QSPR models
2011
407
Be aware of error measures. Further studies on validation of predictive QSAR models
2016
404
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How are inpact factors calculated?
The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.
extended IF
also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.
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