Chemometrics and Intelligent Laboratory Systems

Papers
(The H4-Index of Chemometrics and Intelligent Laboratory Systems is 27. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
Editorial Board197
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users104
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation89
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy82
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer76
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning73
On designing robust and efficient CUSUM chart for mean monitoring: An application in chemical engineering for polymerization reactors73
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning61
Bayesian optimization for interval selection in PLS models61
Editorial Board57
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology57
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)54
Applicability domain of a calibration model based on neural networks and infrared spectroscopy51
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance42
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes41
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)38
Application of DebNet combined with fluorescence spectroscopy for rapid multi-pesticide residue classification38
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges37
An unsupervised gene selection method based on multivariate normalized mutual information of genes35
A review on sample subset selection methods for multivariate modelling35
RKPCA-based approach for fault detection in large scale systems using variogram method33
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model33
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models32
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures32
Joint state and process inputs estimation for state-space models with Student’s t-distribution29
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems29
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes28
Multi-objective feature selection algorithm using Beluga Whale Optimization27
Identification and quantification of ciprofloxacin, enrofloxacin and difloxacin residues in milk using excitation-emission fluorescence and second-order standard addition methods27
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog27
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows27
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