OOIR: Observatory of International Research

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 2022-05-01 to 2026-05-01.)

Article	Citations
Editorial Board	214
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning	100
Joint state and process inputs estimation for state-space models with Student’s t-distribution	95
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation	86
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy	79
Editorial Board	63
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)	60
Applicability domain of a calibration model based on neural networks and infrared spectroscopy	56
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning	48
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog	42
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)	41
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges	40
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model	39
On designing robust and efficient CUSUM chart for mean monitoring: An application in chemical engineering for polymerization reactors	37
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users	37
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models	37
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes	36
RKPCA-based approach for fault detection in large scale systems using variogram method	34
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures	34
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems	34
A review on sample subset selection methods for multivariate modelling	32
MGD-CNN: An end-to-end convolutional neural network model for collaborative preprocessing of Raman spectra	32
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology	32
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer	31
Application of DebNet combined with fluorescence spectroscopy for rapid multi-pesticide residue classification	31

Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes	30
Moisture monitoring in fluidized bed drying of Cassia Twig granules: A TCN–GRU approach with near-infrared spectroscopy-assisted label expansion	30
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance	30
An analytical approach based on excitation-emission fluorescence spectroscopy and chemometrics for the screening of prostate cancer through urine analysis: A proof–of–concept study	29
Bayesian optimization for interval selection in PLS models	29
A graph-based soft sensor using feature expansion and multi-hop attention for melt index prediction	29