OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Chemometrics is 3. 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 2021-12-01 to 2025-12-01.)

Article	Citations
Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring	20
Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data	19
Data point importance: Information ranking in multivariate data	18
Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method	18
Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy	17
Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach	15
Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine raw milk	14
The difference of model robustness assessment using cross‐validation and bootstrap methods	14
Detection the internal quality of watermelon seeds based on terahertz imaging technology combined with image smoothing and enhancement algorithm	14
	13
Principal Component Analysis: Standardisation	12
Issue Information	12
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification	12
	12
De Novo Design of HIV‐1 Integrase‐LEDGF/p75 Inhibitors Through Deep Reinforcement Learning and Virtual Screening	11
Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection	11
Issue Information	10
	10
Alternative weighting schemes for fine‐tuned extended similarity indices	9
Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models	9
Multimodal Stacked Modeling for Simultaneous Detection of Nutrient Concentrations With Turbidity Correction	9
ATR‐FTIR spectroscopy and chemometric complexity: unfolding the intra‐skeleton variability	8
Multi‐Block Chemometric Approaches to the Unsupervised Spectral Characterization of Geological Samples	8
Issue Information	8
Issue Information	8

Optimization total phenolic content and antioxidant activity of Saccocalyx satureioides extracts obtained by ultrasonic‐assisted extraction	8
Issue Information	8
Ginseng Seed Variety Identification Based on Hyperspectral Imaging Technology and Transfer Learning	8
Assessment of Conformal Prediction and Standard Normal Distribution for Autonomous Consensus One‐Class Classification	8
Comparison Between Portable and Bench‐Top Near‐Infrared Spectroscopy for Corn Silage Characterization Using Partial Least Square and Support Vector Regression Methods	8
	8
Planetary and space science special issue	7
Three‐Way Data Reduction Based on Essential Information	7
Green and Rapid Quantification of Ciprofloxacin Hydrochloride and Tylosin Tartrate in Veterinary Formulation using UV Spectrophotometric Method: A Comparative Study of Nature‐Inspired Algorithms for F	7
Cover Picture	7
Robust Multiplicative Scatter Correction Using Quantile Regression	7
A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes	7
	7
Foreword for Special Issue Devoted to the 14th Winter Symposium on Chemometrics (2024)	7
Benchtop NIR data standardization on handheld spectrometers to identify paracetamol tablets	7
3D Fluorescence Spectroscopy Combined With Chemometrics as a Tool for Control of Imprinted Protein Purification From Template Molecules	6
Being Aware of Data Leakage and Cross‐Validation Scaling in Chemometric Model Validation	6
Fast Partition‐Based Cross‐Validation With Centering and Scaling for XTX$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{X} $$ and XTY$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{Y} $$	6
Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis	6
Chemometrics Study to Understand the Interaction of Starch–Protein Mixtures and Food Texture	6
Utilization of ultraviolet‐visible spectrophotometry in conjunction with wrapper method and correlated component regression for nitrite prediction outside the Beer–Lambert domain	6
Two‐step hybrid modeling for variable selection and estimation: An application to quantitative structure activity relationship study	6
Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm	6
	6
Chemometrics as a tool for monitoring corrosion degradation of the selected alloys in real conditions	6
Spectral Wavelength Selection Method Based on Improved Particle Swarm Optimization Idea and Simulated Annealing Strategy	6
Efficient Wavelength Selection for Limited Near‐Infrared Spectral Data via Genetic Algorithm and Hybrid Regression	6
	6
Issue Information	5
Issue Information	5
Cover Image	5
A reliable algorithm for calculating stoichiometry parameters in the hard modeling of spectrophotometric titration data	5
A synthetic review of some recent extensions of ComDim	5
	5
Issue Information	5
Resampling as a Robust Measure of Model Complexity in PARAFAC Models	5
	5
A Novel One‐Class Convolutional Autoencoder Combined With Excitation–Emission Matrix Fluorescence Spectroscopy for Authenticity Identification of Food	5
Cell Culture Media and Raman Spectra Preprocessing Procedures Impact Glucose Chemometrics	5
Issue Information	5
Issue Information	5
Issue Information	5
Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra	5
Adaptive soft sensor modeling of chemical processes based on an improved just‐in‐time learning and random mapping partial least squares	5
Feature Variable Selection for Near‐Infrared Spectroscopy Based on Simulated Annealing Bee Colony Algorithm	4
Quantitative Structure–Activity Relationship Modeling Based on Improving Kernel Ridge Regression	4
Data‐analysis method for material optimization by forecasting long‐term chemical stability	4
Issue Information	4
Issue Information	4
Origin of the OECD Principles for QSAR Validation and Their Role in Changing the QSAR Paradigm Worldwide: An Historical Overview	4

	4
Can One Recover the Underlying Spectral Data Matrix From a Given Borgen Plot?	4
Issue Information	4
	4
Characterisation of Position‐Dependant Ripening Dynamics of Nectarines Using Near‐Infrared Spectroscopy and ASCA	4
Past, Present and Future of Research in Analytical Figures of Merit	4
	4
Accurate and Rational Collision Cross Section Prediction Using Voxel‐Projected Area and Deep Learning	4
Developing Digital Twin Visualizations: A Methodology and Case Study on Chemical Separation Processing	3
Unlocking New Capabilities in the Analysis of GC × GC‐TOFMS Data With Shift‐Invariant Multi‐Linearity	3
Issue Information	3
Optimized extraction of Pb (II) and Co (II) with glycolamide mono and di‐ionic liquids using response surface methodology	3
XAI‐2DCOS: Enhancing Interpretability in Spectral Deep Learning Models Through 2D Correlation Spectroscopy	3
	3
	3
A brief note on a new faster covariate's selection (fCovSel) algorithm	3
	3
Automatic peak annotation and area estimation of glycan map peaks directly from chromatograms	3
On the Replicability of the Thermodynamic Modeling of Spectroscopic Titration Data in the Nickel(II) En System	3
An antioxidative potential‐based comparison of different peanut extraction methods, optimized through response surface methodology	3
Toward more efficient and effective color quality control for the large‐scale offset printing process	3
Expanding the Chemometric Data Analysis Toolbox With Immersive Analytics	3
Sample selection method using near‐infrared spectral information entropy as similarity criterion for constructing and updating peach firmness and soluble solids content prediction models	3
	3
Issue Information	3
Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste	3
Cover Picture	3
limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods	3
	3
Partial least squares regression with multiple domains	3
Issue Information	3
Introduction to statistical, algorithmic and theoretical basis of principal components analysis	3
	3
Issue Information	3
Issue Information	3
Performance enhancement‐based active learning sample selection method	3
A dynamic sample augmentation Kriging metamodeling method for industrial residue hydrogenation process	3
Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)	3
A tutorial on the analysis of multifactorial designs from one or more data sources using AComDim	3