OOIR: Observatory of International Research

Papers

(The H4-Index of Chemometrics and Intelligent Laboratory Systems is 30. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Editorial Board	234
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning	120
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation	90
Editorial Board	84
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)	67
Integrating experimental data and machine learning for enhanced modeling of diclofenac release from calcium alginate–gum arabic microcapsules	62
Bayesian optimization for interval selection in PLS models	62
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes	54
Joint state and process inputs estimation for state-space models with Student’s t-distribution	51
Moisture monitoring in fluidized bed drying of Cassia Twig granules: A TCN–GRU approach with near-infrared spectroscopy-assisted label expansion	43
Parallel recurrent CNN-based cluster optimization and intrusion detection for wireless sensor networks	41
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users	41
MGD-CNN: An end-to-end convolutional neural network model for collaborative preprocessing of Raman spectra	40
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems	40
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)	39
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer	38
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges	37
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures	37
A review on sample subset selection methods for multivariate modelling	35
Rapid geographical traceability and quality evaluation of Phyllanthi Fructus by portable near-infrared spectroscopy	35
Applicability domain of a calibration model based on neural networks and infrared spectroscopy	35
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning	35
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog	34
On designing robust and efficient CUSUM chart for mean monitoring: An application in chemical engineering for polymerization reactors	33
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance	33

Application of DebNet combined with fluorescence spectroscopy for rapid multi-pesticide residue classification	32
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes	30
Heterogeneous ensemble learning applied to UV-VIS identification of multi-class pesticides by high-performance liquid chromatography with diode array detector (HPLC/DAD)	30
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model	30
A graph-based soft sensor using feature expansion and multi-hop attention for melt index prediction	30
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models	30