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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial Board168
Joint state and process inputs estimation for state-space models with Student’s t-distribution92
An unsupervised gene selection method based on multivariate normalized mutual information of genes85
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy84
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation75
RKPCA-based approach for fault detection in large scale systems using variogram method67
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges65
Applicability domain of a calibration model based on neural networks and infrared spectroscopy63
Estimating the boundaries of the feasible profiles in the bilinear decomposition of multi-component data matrices57
Editorial Board57
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users56
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning54
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)51
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures48
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems43
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)40
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models37
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes37
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer36
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology36
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog34
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance34
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes31
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning31
Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring30
BGA-YOLOX-s: Real-time fine-grained detection of silkworm cocoon defects with a ghost convolution module and a joint multiscale fusion attention mechanism30
Heterogeneous ensemble learning applied to UV-VIS identification of multi-class pesticides by high-performance liquid chromatography with diode array detector (HPLC/DAD)29
An analytical approach based on excitation-emission fluorescence spectroscopy and chemometrics for the screening of prostate cancer through urine analysis: A proof–of–concept study27
MFRAG: Multi-Fitness RankAggreg Genetic Algorithm for biomarker selection from microarray data27
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