Journal of Chemometrics

Papers
(The median citation count of Journal of Chemometrics is 1. 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
Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data20
Data point importance: Information ranking in multivariate data20
Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method18
Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy18
Detection the internal quality of watermelon seeds based on terahertz imaging technology combined with image smoothing and enhancement algorithm17
Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring15
Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach15
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
Issue Information13
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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Alternative weighting schemes for fine‐tuned extended similarity indices9
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
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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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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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
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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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
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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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
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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
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
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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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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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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Remembering Prof. Edmund R. Malinowski, 1932–2020 Professor of Chemistry, 1963–1997 Stevens Institute of Technology2
Comparative study using design experiment to assess an anionic dye degradation in aqueous solution through the application of different advanced oxidation processes2
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study2
Roadmap for outlier detection in univariate linear calibration in analytical chemistry: Tutorial review2
Enhanced Discrimination of Thawed and Nonfrozen Chicken Thighs Using Convex Hull Peeling in Visible Spectral Imaging2
Spatial–Temporal Deviation Analysis for Multivariate Statistical Process Monitoring2
Application of ATR‐FTIR Spectrum Combined With Ensemble Learning and Deep Learning for Identification of Amomum tsao‐ko at Different Drying Temperatures2
lrSVD: An efficient imputation algorithm for incomplete high‐throughput compositional data2
Evaluation of Annual Storage on Online Released Compounds in Artemisia argyi Smoke With GC‐MS‐Based Untargeted Metabolomics Coupled With Chemometric Meth2
Issue Information2
Dedicated to Edmund R. Malinowski. Secondary, model‐based examination of model‐free analysis results: Making the most of soft‐modelling outcomes2
A Dynamic Iterative Data Cleaning Strategy Based on Model Feedback to Enhance the Prediction Accuracy of Nanocellulose Emulsions2
Adjusted Pareto Scaling for Multivariate Calibration Models2
Data fusion of multiple‐information strategy based on Fourier transform near infrared spectroscopy and Fourier‐transform mid infrared for geographical traceability of Wolfiporia2
Automatic pretreatment and multiblock analysis of flavor release and sensory temporal data simultaneously collected in vivo2
Nonparametric Threshold Estimation of Autocorrelated Statistics in Multivariate Statistical Process Monitoring2
On a black hole effect in bilinear curve resolution based on least squares2
Deep Information Retention Network‐Enabled Data Modeling for Key Quality Indicator Prediction in the Chemical Industry2
Two new methods for the estimation and interpretation of the range of feasible profiles in multivariate curve resolution and their implications to analytical chemistry2
Omega‐3 Marine Fatty Acid Supplementation to Healthy Subjects Interacts With Moderate Physical Activity to Provide a Cardiovascular Healthier Lipoprotein Subclass Profile2
Assessing Classification Models of Pharmaceuticals With Conformal Prediction2
SFMD‐X: A New Functional Data Classifier Based on Shrinkage Functional Mahalanobis Distance2
Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data2
Structured discriminative Gaussian graph learning for multimode process monitoring2
Swiss knife covariates selection: A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses2
Implications of confounding from unmodeled interactions between explanatory variables when using latent variable regression models to make inferences2
Smart Monitoring Solutions for Real‐Time Water pH Regulation in Aquatic Ecotoxicology2
Application of chemometrics on Raman spectra from Mars: Recent advances and future perspectives2
Nondestructive Identification of Paper Based on Relative Formation Time Using Three‐Dimensional Fluorescence Spectroscopy Combined With Supervised Learning2
Detection storage time of mangoes after mild bruise based on hyperspectral imaging combined with deep learning2
Special Issue for Celebrating Prof. Ruqin Yu's 90th Birthday2
In honour of Edmund R. Malinowski2
Can Angle Measures Be Useful in MCR Analyses?2
Principal balances of compositional data for regression and classification using partial least squares2
Detection of Lead Chrome Green in Tea Based on Near‐Infrared Reflectance Spectroscopy1
A comprehensive tutorial on data‐driven SIMCA: Theory and implementation in web1
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Investigation of the Physiological and Post‐training Effects of Ecdysteroid Supplementation by Multivariate Analysis of the Human Serum Metabolome1
Dynamic Process Fault Detection and Diagnosis Method Based on Factor Analysis: Application on the Three‐Tank System Process1
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Sparse Twoblock Dimension Reduction: A Versatile Alternative to Sparse PLS2 and CCA1
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Identifying putative key metabolites from fingerprinting metabolomics for the authentication of rice origin: A case study of Sengcu rice1
Is Chemometrics the Most Important Advance in Analytical Chemistry Since the 1980s and Partial Least Squares the Jewel in the Crown?1
An algorithm for robust multiblock partial least squares predictive modelling1
Getting Insights Into Chromatographic Properties of HILIС and Mixed‐Mode Homemade Stationary Phases Using Principal Component and Cluster Analyses1
A novel eco‐friendly methods for simultaneous determination of aspirin, clopidogrel, and atorvastatin or rosuvastatin in their fixed‐dose combination using chemometric techniques and artificial neural1
Permutation Strategies for Inference in ANOVA‐Based Models for Nonorthogonal Designs Including Continuous Covariates1
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Honoring Professor Tormod Næs—A Pillar of Chemometrics1
Classification of Horsetails Using Predictive Modelling on NIR Spectra1
Predictive QSAR Models Followed by Toxicity, Molecular Docking, and Molecular Dynamics Simulation in Search of Azole Derivatives as AChE Inhibitors for the Treatment of Alzheimer's Disease1
Selection of principal variables through a modified Gram–Schmidt process with and without supervision1
Principal components analysis with several objects and variables1
Kernel‐Based Bootstrap Synthetic Data to Estimate Measurement Uncertainty in Analytical Sciences1
Correction to “Transforming Hyperspectral Images Into Chemical Maps: A Novel End‐to‐End Deep Learning Approach”1
Issue Information1
Feasibility Study on Identifying Seed Variety of Soybean With Hyperspectral Imaging and Deep Learning1
Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation 1
Correction to “A novel eco‐friendly methods for simultaneous determination of aspirin, clopidogrel, and atorvastatin or rosuvastatin in their fixed‐dose combination using chemometric techniques and ar1
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Prediction of Flash Point of Materials Using Bayesian Kernel Machine Regression Based on Gaussian Processes With LASSO‐Like Spike‐and‐Slab Hyperprior1
Editorial1
Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer1
Enhancing Similarity Measures for Binary Data in Clustering: The Role of Rare Events and Matching Absences1
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Liu regression after random forest for prediction and modeling in high dimension1
Expanding Multivariate Analysis Principles in Conventional Chemometric Processes1
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Novelty and Similarity: Detection Using Data‐Driven Soft Independent Modeling of Class Analogy1
Generating realistic infrared spectra using artificial neural networks1
An adaptive strategy for time‐varying batch process fault prediction based on stochastic configuration network1
Online Simultaneous Determination of Astragalus Polysaccharides and Calycosin‐7‐O‐β‐D‐Glucoside in Astragali Radix Percolate Based on Near‐Infrared Spectroscopy Technology1
Artificial intelligence‐based multiobjective optimization of reverse osmosis desalination pretreatment using a hybrid ZnO‐immobilized/photo‐Fenton process1
The canonical partial least squares approach to analysing multiway datasets—N‐CPLS1
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Progress of Complex System Process Analysis Based on Modern Spectroscopy Combined With Chemometrics1
Adaptive deep fusion neural network based soft sensor for industrial process1
Industrial Process Fault Detection Based on IGA‐Combinatorial Model Decision Mechanism1
Application of ultramicrotomy and infrared imaging to the forensic examination of automotive paint1
Research progress on the application of hyperspectral imaging techniques in tea science1
ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution1
Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery1
Detection of the storage time of light bruises in yellow peaches based on spectrum and texture features of hyperspectral image1
Nondestructive Identification of Wheat Seed Variety and Geographical Origin Using Near‐Infrared Hyperspectral Imagery and Deep Learning1
Evaluation of spectral collection strategies for identification of Dalbergia spp. using handheld laser‐induced breakdown spectroscopy1
On the complementary nature of ANOVA simultaneous component analysis (ASCA+) and Tucker3 tensor decompositions on designed multi‐way datasets1
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