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 2021-11-01 to 2025-11-01.)
ArticleCitations
Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data19
Data point importance: Information ranking in multivariate data18
Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy17
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
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Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring14
Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method14
The difference of model robustness assessment using cross‐validation and bootstrap methods13
De Novo Design of HIV‐1 Integrase‐LEDGF/p75 Inhibitors Through Deep Reinforcement Learning and Virtual Screening12
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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 milk12
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification12
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Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection11
Principal Component Analysis: Standardisation11
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Comparison Between Portable and Bench‐Top Near‐Infrared Spectroscopy for Corn Silage Characterization Using Partial Least Square and Support Vector Regression Methods10
Multimodal Stacked Modeling for Simultaneous Detection of Nutrient Concentrations With Turbidity Correction9
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Optimization total phenolic content and antioxidant activity of Saccocalyx satureioides extracts obtained by ultrasonic‐assisted extraction9
Ginseng Seed Variety Identification Based on Hyperspectral Imaging Technology and Transfer Learning8
Assessment of Conformal Prediction and Standard Normal Distribution for Autonomous Consensus One‐Class Classification8
ATR‐FTIR spectroscopy and chemometric complexity: unfolding the intra‐skeleton variability8
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Multi‐Block Chemometric Approaches to the Unsupervised Spectral Characterization of Geological Samples8
Alternative weighting schemes for fine‐tuned extended similarity indices8
Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models8
Three‐Way Data Reduction Based on Essential Information8
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Utilization of ultraviolet‐visible spectrophotometry in conjunction with wrapper method and correlated component regression for nitrite prediction outside the Beer–Lambert domain7
Spectral Wavelength Selection Method Based on Improved Particle Swarm Optimization Idea and Simulated Annealing Strategy7
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Benchtop NIR data standardization on handheld spectrometers to identify paracetamol tablets7
Two‐step hybrid modeling for variable selection and estimation: An application to quantitative structure activity relationship study7
A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes7
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3D Fluorescence Spectroscopy Combined With Chemometrics as a Tool for Control of Imprinted Protein Purification From Template Molecules7
Chemometrics as a tool for monitoring corrosion degradation of the selected alloys in real conditions7
Planetary and space science special issue6
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Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis6
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
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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
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Robust Multiplicative Scatter Correction Using Quantile Regression6
Being Aware of Data Leakage and Cross‐Validation Scaling in Chemometric Model Validation6
Foreword for Special Issue Devoted to the 14th Winter Symposium on Chemometrics (2024)6
Chemometrics Study to Understand the Interaction of Starch–Protein Mixtures and Food Texture5
Cell Culture Media and Raman Spectra Preprocessing Procedures Impact Glucose Chemometrics5
Efficient Wavelength Selection for Limited Near‐Infrared Spectral Data via Genetic Algorithm and Hybrid Regression5
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Resampling as a Robust Measure of Model Complexity in PARAFAC Models5
Characterisation of Position‐Dependant Ripening Dynamics of Nectarines Using Near‐Infrared Spectroscopy and ASCA5
A reliable algorithm for calculating stoichiometry parameters in the hard modeling of spectrophotometric titration data5
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Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm5
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A Novel One‐Class Convolutional Autoencoder Combined With Excitation–Emission Matrix Fluorescence Spectroscopy for Authenticity Identification of Food4
Data‐analysis method for material optimization by forecasting long‐term chemical stability4
Past, Present and Future of Research in Analytical Figures of Merit4
Who is winning? A comparison of humans versus computers for calibration model building4
Decomposition of overlapping peaks in X‐ray fluorescence using improved crow searching algorithm based on opposite learning4
Adaptive soft sensor modeling of chemical processes based on an improved just‐in‐time learning and random mapping partial least squares4
Origin of the OECD Principles for QSAR Validation and Their Role in Changing the QSAR Paradigm Worldwide: An Historical Overview4
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Can One Recover the Underlying Spectral Data Matrix From a Given Borgen Plot?4
Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra4
A synthetic review of some recent extensions of ComDim4
Feature Variable Selection for Near‐Infrared Spectroscopy Based on Simulated Annealing Bee Colony Algorithm4
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Quantitative Structure–Activity Relationship Modeling Based on Improving Kernel Ridge Regression4
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An antioxidative potential‐based comparison of different peanut extraction methods, optimized through response surface methodology3
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Optimized extraction of Pb (II) and Co (II) with glycolamide mono and di‐ionic liquids using response surface methodology3
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Sample selection method using near‐infrared spectral information entropy as similarity criterion for constructing and updating peach firmness and soluble solids content prediction models3
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A dynamic sample augmentation Kriging metamodeling method for industrial residue hydrogenation process3
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Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)3
Toward more efficient and effective color quality control for the large‐scale offset printing process3
Partial least squares regression with multiple domains3
A brief note on a new faster covariate's selection (fCovSel) algorithm3
Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste3
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XAI‐2DCOS: Enhancing Interpretability in Spectral Deep Learning Models Through 2D Correlation Spectroscopy3
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Unlocking New Capabilities in the Analysis of GC × GC‐TOFMS Data With Shift‐Invariant Multi‐Linearity3
Performance enhancement‐based active learning sample selection method3
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On the Replicability of the Thermodynamic Modeling of Spectroscopic Titration Data in the Nickel(II) En System3
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A tutorial on the analysis of multifactorial designs from one or more data sources using AComDim3
Introduction to statistical, algorithmic and theoretical basis of principal components analysis3
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Accurate and Rational Collision Cross Section Prediction Using Voxel‐Projected Area and Deep Learning3
Expanding the Chemometric Data Analysis Toolbox With Immersive Analytics3
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