Chemometrics and Intelligent Laboratory Systems

Papers
(The H4-Index of Chemometrics and Intelligent Laboratory Systems is 28. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board219
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning105
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation87
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy81
Editorial Board63
Applicability domain of a calibration model based on neural networks and infrared spectroscopy60
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning57
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog48
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)46
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model42
On designing robust and efficient CUSUM chart for mean monitoring: An application in chemical engineering for polymerization reactors41
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users37
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models37
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems36
RKPCA-based approach for fault detection in large scale systems using variogram method36
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology35
MGD-CNN: An end-to-end convolutional neural network model for collaborative preprocessing of Raman spectra35
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer34
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)34
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes33
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges32
Bayesian optimization for interval selection in PLS models31
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures31
Integrating experimental data and machine learning for enhanced modeling of diclofenac release from calcium alginate–gum arabic microcapsules30
Joint state and process inputs estimation for state-space models with Student’s t-distribution29
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes29
Application of DebNet combined with fluorescence spectroscopy for rapid multi-pesticide residue classification29
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance29
A graph-based soft sensor using feature expansion and multi-hop attention for melt index prediction28
Moisture monitoring in fluidized bed drying of Cassia Twig granules: A TCN–GRU approach with near-infrared spectroscopy-assisted label expansion28
Heterogeneous ensemble learning applied to UV-VIS identification of multi-class pesticides by high-performance liquid chromatography with diode array detector (HPLC/DAD)28
An analytical approach based on excitation-emission fluorescence spectroscopy and chemometrics for the screening of prostate cancer through urine analysis: A proof–of–concept study28
Identification and quantification of ciprofloxacin, enrofloxacin and difloxacin residues in milk using excitation-emission fluorescence and second-order standard addition methods28
A review on sample subset selection methods for multivariate modelling28
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