Journal of Chemometrics

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 2022-01-01 to 2026-01-01.)
ArticleCitations
Data point importance: Information ranking in multivariate data20
Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data20
Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy18
Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method18
Detection the internal quality of watermelon seeds based on terahertz imaging technology combined with image smoothing and enhancement algorithm17
Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach15
Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring15
The difference of model robustness assessment using cross‐validation and bootstrap methods14
Estimating Maize Canopy Nitrogen and Chlorophyll Content Using CNN‐GRU‐CBAM and Hyperspectral Imagery14
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Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine raw milk13
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De Novo Design of HIV‐1 Integrase‐LEDGF/p75 Inhibitors Through Deep Reinforcement Learning and Virtual Screening12
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification12
Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection12
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Principal Component Analysis: Standardisation11
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Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models9
Multimodal Stacked Modeling for Simultaneous Detection of Nutrient Concentrations With Turbidity Correction9
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Alternative weighting schemes for fine‐tuned extended similarity indices9
ATR‐FTIR spectroscopy and chemometric complexity: unfolding the intra‐skeleton variability8
Ginseng Seed Variety Identification Based on Hyperspectral Imaging Technology and Transfer Learning8
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Optimization total phenolic content and antioxidant activity of Saccocalyx satureioides extracts obtained by ultrasonic‐assisted extraction8
Multi‐Block Chemometric Approaches to the Unsupervised Spectral Characterization of Geological Samples8
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Assessment of Conformal Prediction and Standard Normal Distribution for Autonomous Consensus One‐Class Classification8
Comparison Between Portable and Bench‐Top Near‐Infrared Spectroscopy for Corn Silage Characterization Using Partial Least Square and Support Vector Regression Methods8
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Three‐Way Data Reduction Based on Essential Information7
Two‐step hybrid modeling for variable selection and estimation: An application to quantitative structure activity relationship study7
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3D Fluorescence Spectroscopy Combined With Chemometrics as a Tool for Control of Imprinted Protein Purification From Template Molecules7
A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes7
Chemometrics as a tool for monitoring corrosion degradation of the selected alloys in real conditions7
Planetary and space science special issue7
Foreword for Special Issue Devoted to the 14th Winter Symposium on Chemometrics (2024)7
Benchtop NIR data standardization on handheld spectrometers to identify paracetamol tablets7
Fast Partition‐Based Cross‐Validation With Centering and Scaling for XTX$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{X} $$ and XTY$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{Y} $$7
Being Aware of Data Leakage and Cross‐Validation Scaling in Chemometric Model Validation6
Utilization of ultraviolet‐visible spectrophotometry in conjunction with wrapper method and correlated component regression for nitrite prediction outside the Beer–Lambert domain6
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Spectral Wavelength Selection Method Based on Improved Particle Swarm Optimization Idea and Simulated Annealing Strategy6
Robust Multiplicative Scatter Correction Using Quantile Regression6
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Chemometrics Study to Understand the Interaction of Starch–Protein Mixtures and Food Texture6
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 F6
Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis6
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Resampling as a Robust Measure of Model Complexity in PARAFAC Models6
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Efficient Wavelength Selection for Limited Near‐Infrared Spectral Data via Genetic Algorithm and Hybrid Regression5
A reliable algorithm for calculating stoichiometry parameters in the hard modeling of spectrophotometric titration data5
Characterisation of Position‐Dependant Ripening Dynamics of Nectarines Using Near‐Infrared Spectroscopy and ASCA5
Cell Culture Media and Raman Spectra Preprocessing Procedures Impact Glucose Chemometrics5
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Application of an ECAM‐ConvNeXt Model With Multichannel Spectrogram Based on Vis–NIR for Soil Property Prediction5
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Adaptive soft sensor modeling of chemical processes based on an improved just‐in‐time learning and random mapping partial least squares5
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A Novel One‐Class Convolutional Autoencoder Combined With Excitation–Emission Matrix Fluorescence Spectroscopy for Authenticity Identification of Food5
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Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm5
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A synthetic review of some recent extensions of ComDim5
Feature Variable Selection for Near‐Infrared Spectroscopy Based on Simulated Annealing Bee Colony Algorithm5
Past, Present and Future of Research in Analytical Figures of Merit4
Accurate and Rational Collision Cross Section Prediction Using Voxel‐Projected Area and Deep Learning4
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Origin of the OECD Principles for QSAR Validation and Their Role in Changing the QSAR Paradigm Worldwide: An Historical Overview4
Quantitative Structure–Activity Relationship Modeling Based on Improving Kernel Ridge Regression4
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Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra4
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XAI‐2DCOS: Enhancing Interpretability in Spectral Deep Learning Models Through 2D Correlation Spectroscopy4
Can One Recover the Underlying Spectral Data Matrix From a Given Borgen Plot?4
Performance enhancement‐based active learning sample selection method3
Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis3
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A tutorial on the analysis of multifactorial designs from one or more data sources using AComDim3
Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste3
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Automatic peak annotation and area estimation of glycan map peaks directly from chromatograms3
Next‐Gen Crop Monitoring: MTEG‐RTU Algorithm and UAV Synergy for Precise Disease Diagnosis3
Novel Sexalinear Decomposition Algorithm for Analyzing the Chemical Sexalinear Data Array3
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Partial least squares regression with multiple domains3
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A brief note on a new faster covariate's selection (fCovSel) algorithm3
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Developing Digital Twin Visualizations: A Methodology and Case Study on Chemical Separation Processing3
An antioxidative potential‐based comparison of different peanut extraction methods, optimized through response surface methodology3
Influence of a Measurement Procedure and Evaluation of Transflectance Sensing System for Quantifying Sunflower Oil Adulterations in Olive Oil. A Proof of Concept3
ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression3
Image‐based characterization of flocculation processes through PLS inspired representation learning in convolutional neural networks3
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A dynamic sample augmentation Kriging metamodeling method for industrial residue hydrogenation process3
Unlocking New Capabilities in the Analysis of GC × GC‐TOFMS Data With Shift‐Invariant Multi‐Linearity3
Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)3
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Expanding the Chemometric Data Analysis Toolbox With Immersive Analytics3
Sample selection method using near‐infrared spectral information entropy as similarity criterion for constructing and updating peach firmness and soluble solids content prediction models3
Toward more efficient and effective color quality control for the large‐scale offset printing process3
Introduction to statistical, algorithmic and theoretical basis of principal components analysis3
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Infrared Spectroscopy and Machine Learning for Classification of Red Stamp Inks on Questioned Documents3
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limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods3
On the Replicability of the Thermodynamic Modeling of Spectroscopic Titration Data in the Nickel(II) En System3
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