Chemometrics and Intelligent Laboratory Systems

Papers
(The H4-Index of Chemometrics and Intelligent Laboratory Systems is 29. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Editorial Board159
Joint state and process inputs estimation for state-space models with Student’s t-distribution89
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy81
An unsupervised gene selection method based on multivariate normalized mutual information of genes81
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog73
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation66
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models63
RKPCA-based approach for fault detection in large scale systems using variogram method63
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance59
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges57
Applicability domain of a calibration model based on neural networks and infrared spectroscopy55
Estimating the boundaries of the feasible profiles in the bilinear decomposition of multi-component data matrices53
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology52
Editorial Board51
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users46
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning42
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)39
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)39
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes38
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes36
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning36
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer35
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures35
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems33
BGA-YOLOX-s: Real-time fine-grained detection of silkworm cocoon defects with a ghost convolution module and a joint multiscale fusion attention mechanism32
Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring31
Heterogeneous ensemble learning applied to UV-VIS identification of multi-class pesticides by high-performance liquid chromatography with diode array detector (HPLC/DAD)30
MFRAG: Multi-Fitness RankAggreg Genetic Algorithm for biomarker selection from microarray data29
An analytical approach based on excitation-emission fluorescence spectroscopy and chemometrics for the screening of prostate cancer through urine analysis: A proof–of–concept study29
A piecewise mirror extension local mean decomposition method for denoising of near-infrared spectra with uneven noise29
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