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 2022-08-01 to 2026-08-01.)
ArticleCitations
Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method50
Detection the internal quality of watermelon seeds based on terahertz imaging technology combined with image smoothing and enhancement algorithm40
Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach24
Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data23
From Wet Chemistry to Portable NIR: Robust High‐Throughput Compositional Models for Biomass Pretreatment22
Partial Least Squares Scores22
Data point importance: Information ranking in multivariate data20
Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy19
Coverage‐Aware Calibration and Selective Classification for Drifted Gas‐Sensor Arrays: A Controlled Shift Simulation Benchmark With Longitudinal Evaluation19
Estimating Maize Canopy Nitrogen and Chlorophyll Content Using CNN‐GRU‐CBAM and Hyperspectral Imagery18
The difference of model robustness assessment using cross‐validation and bootstrap methods17
Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring14
De Novo Design of HIV‐1 Integrase‐LEDGF/p75 Inhibitors Through Deep Reinforcement Learning and Virtual Screening14
Augmenting Near‐Infrared Spectral Data With Auxiliary Regression Generative Adversarial Network for Enhanced Prediction of Watermelon Soluble Solids Content12
Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection12
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification12
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In‐Situ Detection of Microplastic Particles on Food Using Hyperspectral Imaging With One‐Dimensional Convolutional Neural Network and Artificial Neural Network10
Multi‐Block Chemometric Approaches to the Unsupervised Spectral Characterization of Geological Samples10
Principal Component Analysis: Standardisation10
Ginseng Seed Variety Identification Based on Hyperspectral Imaging Technology and Transfer Learning10
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Supervised Restricted Data Fusion With Common, Local, and Distinct Components10
Characterising the Effect of Cultivar and Roasting Temperature on FT‐NIR Spectral Data of Wheat Using ASCA9
Alternative weighting schemes for fine‐tuned extended similarity indices9
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Assessment of Conformal Prediction and Standard Normal Distribution for Autonomous Consensus One‐Class Classification9
Comparison Between Portable and Bench‐Top Near‐Infrared Spectroscopy for Corn Silage Characterization Using Partial Least Square and Support Vector Regression Methods9
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Multimodal Stacked Modeling for Simultaneous Detection of Nutrient Concentrations With Turbidity Correction9
ATR‐FTIR spectroscopy and chemometric complexity: unfolding the intra‐skeleton variability8
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Foreword for Special Issue Devoted to the 14th Winter Symposium on Chemometrics (2024)8
3D Fluorescence Spectroscopy Combined With Chemometrics as a Tool for Control of Imprinted Protein Purification From Template Molecules8
Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models8
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Fast Partition‐Based Cross‐Validation With Centering and Scaling for XTX$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{X} $$ and XTY$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{Y} $$8
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Correlation‐Weighted Dynamic Feature Fusion for Multiblock Regression (CW‐DFF‐MBR): A Generalized Framework for Advanced Chemometric Modelling8
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Planetary and space science special issue8
Chemometrics as a tool for monitoring corrosion degradation of the selected alloys in real conditions8
Utilization of ultraviolet‐visible spectrophotometry in conjunction with wrapper method and correlated component regression for nitrite prediction outside the Beer–Lambert domain7
Two‐step hybrid modeling for variable selection and estimation: An application to quantitative structure activity relationship study7
Spectral Wavelength Selection Method Based on Improved Particle Swarm Optimization Idea and Simulated Annealing Strategy7
Being Aware of Data Leakage and Cross‐Validation Scaling in Chemometric Model Validation7
Why Is the Peak Group Analysis So Effective for IR Spectra Analysis?7
A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes7
Chemometrics Study to Understand the Interaction of Starch–Protein Mixtures and Food Texture7
Three‐Way Data Reduction Based on Essential Information7
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 F7
Robust Multiplicative Scatter Correction Using Quantile Regression7
Application of an ECAM‐ConvNeXt Model With Multichannel Spectrogram Based on Vis–NIR for Soil Property Prediction6
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Resampling as a Robust Measure of Model Complexity in PARAFAC Models6
Efficient Wavelength Selection for Limited Near‐Infrared Spectral Data via Genetic Algorithm and Hybrid Regression6
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XR and Hybrid Data Visualization Spaces for Enhanced Data Analytics6
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Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm6
A Deep Learning Approach for OER Electrocatalyst Kinetics Prediction6
A synthetic review of some recent extensions of ComDim5
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Origin of the OECD Principles for QSAR Validation and Their Role in Changing the QSAR Paradigm Worldwide: An Historical Overview5
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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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Cell Culture Media and Raman Spectra Preprocessing Procedures Impact Glucose Chemometrics5
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Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra5
Feature Variable Selection for Near‐Infrared Spectroscopy Based on Simulated Annealing Bee Colony Algorithm5
Support Vector Machine Ensemble for Crude Oil Classification5
Characterisation of Position‐Dependant Ripening Dynamics of Nectarines Using Near‐Infrared Spectroscopy and ASCA5
Machine Learning for Raman Spectroscopy Glioblastoma Classification5
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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
Quantitative Structure–Activity Relationship Modeling Based on Improving Kernel Ridge Regression4
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Past, Present and Future of Research in Analytical Figures of Merit4
Multifactorial 1, 3, 4‐Oxadiazole Derivatives as Cholinesterase and Glycogen Synthase Kinase‐3 β Inhibitors for Targeting Alzheimer's Disease: QSAR‐Based4
A Spectral Matching Algorithm Based on the Wasserstein Metric4
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Accurate and Rational Collision Cross Section Prediction Using Voxel‐Projected Area and Deep Learning4
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Extended Multiplicative Signal Correction of Noisy Raman Spectra4
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Can One Recover the Underlying Spectral Data Matrix From a Given Borgen Plot?4
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The FTIR‐ATR Spectroscopy as a Biosensing Strategy for Thermal Effects in Permissibility Verification of Lard‐Adulterated Palm Oil4
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Developing Digital Twin Visualizations: A Methodology and Case Study on Chemical Separation Processing3
Partial least squares regression with multiple domains3
Supporting Process Analytical Technology in Pharmaceutical Manufacturing With Lean Chemometrics3
Volatile Gas Detection Based on Electronic Nose Combined With a Feature Complementary Calculation Network to Identify the Adulterated Peanuts3
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FTIR Spectral Prediction of Ionic Liquids Using a Novel Hybrid MARS–PLS2 Chemometric Framework3
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Novel Sexalinear Decomposition Algorithm for Analyzing the Chemical Sexalinear Data Array3
An antioxidative potential‐based comparison of different peanut extraction methods, optimized through response surface methodology3
Automatic peak annotation and area estimation of glycan map peaks directly from chromatograms3
Expanding the Chemometric Data Analysis Toolbox With Immersive Analytics3
Unlocking New Capabilities in the Analysis of GC × GC‐TOFMS Data With Shift‐Invariant Multi‐Linearity3
XAI‐2DCOS: Enhancing Interpretability in Spectral Deep Learning Models Through 2D Correlation Spectroscopy3
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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
limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods3
Effect of Dough Yield, Flour Type and Fermentation Time on Sourdough Near‐Infrared Spectral Data With ANOVA–Simultaneous Component Analysis3
Conceptual Differences Between Hyperspectral Unmixing, PCA, and Clustering: A Practical Demonstration Using Single‐Cell Raman Imaging3
Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)3
Image‐based characterization of flocculation processes through PLS inspired representation learning in convolutional neural networks3
Toward more efficient and effective color quality control for the large‐scale offset printing process3
On the Replicability of the Thermodynamic Modeling of Spectroscopic Titration Data in the Nickel(II) En System3
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Semi‐Supervised Gaussian Mixture Regression With Gaussian Mixture Model Pretraining With Unlabeled Data3
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Nonparametric Threshold Estimation of Autocorrelated Statistics in Multivariate Statistical Process Monitoring2
Can Angle Measures Be Useful in MCR Analyses?2
Nondestructive Identification of Paper Based on Relative Formation Time Using Three‐Dimensional Fluorescence Spectroscopy Combined With Supervised Learning2
Local Asymmetric Least Squares (LAsLS) for Noisy and Complex Baseline Correction2
Multimodal Interaction Enhanced Immersive Analytics: Enabling Accessible Virtual Reality Data Analysis for Blind and Visually Impaired Users2
Adjusted Pareto Scaling for Multivariate Calibration Models2
In Silico Discovery of 1,3,4‐Thiadiazole Derivatives as VEGFR‐2 Inhibitors for Breast Cancer Liver Metastasis via QSAR modeling, Molecular Docking, ADMET, and DFT Studies2
Performance of NIR‐Based Regression Models for Hyperforin Quantification in St. John's Wort Under Temporal Validation2
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Omega‐3 Marine Fatty Acid Supplementation to Healthy Subjects Interacts With Moderate Physical Activity to Provide a Cardiovascular Healthier Lipoprotein Subclass Profile2
Structured discriminative Gaussian graph learning for multimode process monitoring2
Detection storage time of mangoes after mild bruise based on hyperspectral imaging combined with deep learning2
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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 neural2
Dedicated to Edmund R. Malinowski. Secondary, model‐based examination of model‐free analysis results: Making the most of soft‐modelling outcomes2
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study2
Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data2
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
TCN–GRU With Multihead Attention (TCN–GRU–MATT) for Quantitative Regression of NO 2 From SERS Spectra2
Automatic pretreatment and multiblock analysis of flavor release and sensory temporal data simultaneously collected in vivo2
lrSVD: An efficient imputation algorithm for incomplete high‐throughput compositional data2
Infrared Spectroscopy and Machine Learning for Classification of Red Stamp Inks on Questioned Documents2
Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation 2
On a black hole effect in bilinear curve resolution based on least squares2
Next‐Gen Crop Monitoring: MTEG‐RTU Algorithm and UAV Synergy for Precise Disease Diagnosis2
ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression2
Optimizing Distance‐Based Classification in Hyperspectral Imaging: a Tutorial on the Influence of Spectral Pretreatments2
Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer2
Assessing Classification Models of Pharmaceuticals With Conformal Prediction2
Special Issue for Celebrating Prof. Ruqin Yu's 90th Birthday2
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Enhanced Discrimination of Thawed and Nonfrozen Chicken Thighs Using Convex Hull Peeling in Visible Spectral Imaging2
Two new methods for the estimation and interpretation of the range of feasible profiles in multivariate curve resolution and their implications to analytical chemistry2
Partial Least Squares Regression Models for Outdoor Air Pollutant Forecasting2
Application of ATR‐FTIR Spectrum Combined With Ensemble Learning and Deep Learning for Identification of Amomum tsao‐ko at Different Drying Temperatures2
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Dynamic Entropy‐Guided Mixup for Data Augmentation in High‐Dimensional Small‐Sample Spectral Analysis: Application to Geographical Origin Classification of Euryales Semen2
Spatial–Temporal Deviation Analysis for Multivariate Statistical Process Monitoring2
Comparative study using design experiment to assess an anionic dye degradation in aqueous solution through the application of different advanced oxidation processes2
Application of chemometrics on Raman spectra from Mars: Recent advances and future perspectives2
A Dynamic Iterative Data Cleaning Strategy Based on Model Feedback to Enhance the Prediction Accuracy of Nanocellulose Emulsions2
Deep Information Retention Network‐Enabled Data Modeling for Key Quality Indicator Prediction in the Chemical Industry2
Smart Monitoring Solutions for Real‐Time Water pH Regulation in Aquatic Ecotoxicology2
Influence of a Measurement Procedure and Evaluation of Transflectance Sensing System for Quantifying Sunflower Oil Adulterations in Olive Oil. A Proof of Concept2
Roadmap for outlier detection in univariate linear calibration in analytical chemistry: Tutorial review2
Principal balances of compositional data for regression and classification using partial least squares2
Evaluation of Annual Storage on Online Released Compounds in Artemisia argyi Smoke With GC‐MS‐Based Untargeted Metabolomics Coupled With Chemometric Meth2
In honour of Edmund R. Malinowski2
SFMD‐X: A New Functional Data Classifier Based on Shrinkage Functional Mahalanobis Distance2
Remembering Prof. Edmund R. Malinowski, 1932–2020 Professor of Chemistry, 1963–1997 Stevens Institute of Technology2
An algorithm for robust multiblock partial least squares predictive modelling1
Nondestructive Identification of Wheat Seed Variety and Geographical Origin Using Near‐Infrared Hyperspectral Imagery and Deep Learning1
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Novelty and Similarity: Detection Using Data‐Driven Soft Independent Modeling of Class Analogy1
Getting Insights Into Chromatographic Properties of HILIС and Mixed‐Mode Homemade Stationary Phases Using Principal Component and Cluster Analyses1
Risk‐Adjusted Robust Classification of Coagulation Potential in the Regeneration of Waste Lubricant Oil1
Classification of Horsetails Using Predictive Modelling on NIR Spectra1
An adaptive strategy for time‐varying batch process fault prediction based on stochastic configuration network1
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Kernel‐Based Bootstrap Synthetic Data to Estimate Measurement Uncertainty in Analytical Sciences1
Permutation Strategies for Inference in ANOVA‐Based Models for Nonorthogonal Designs Including Continuous Covariates1
Sparse Twoblock Dimension Reduction: A Versatile Alternative to Sparse PLS2 and CCA1
Evaluation of spectral collection strategies for identification of Dalbergia spp. using handheld laser‐induced breakdown spectroscopy1
Research progress on the application of hyperspectral imaging techniques in tea science1
Adaptive deep fusion neural network based soft sensor for industrial process1
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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Expanding Multivariate Analysis Principles in Conventional Chemometric Processes1
ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution1
Is Chemometrics the Most Important Advance in Analytical Chemistry Since the 1980s and Partial Least Squares the Jewel in the Crown?1
Augmented Reality as a Tool to Immerse Students in Chemistry Education1
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Dynamic Process Fault Detection and Diagnosis Method Based on Factor Analysis: Application on the Three‐Tank System Process1
Selection of principal variables through a modified Gram–Schmidt process with and without supervision1
On the complementary nature of ANOVA simultaneous component analysis (ASCA+) and Tucker3 tensor decompositions on designed multi‐way datasets1
Identifying putative key metabolites from fingerprinting metabolomics for the authentication of rice origin: A case study of Sengcu rice1
Correction to “Transforming Hyperspectral Images Into Chemical Maps: A Novel End‐to‐End Deep Learning Approach”1
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Enhancing Similarity Measures for Binary Data in Clustering: The Role of Rare Events and Matching Absences1
Honoring Professor Tormod Næs—A Pillar of Chemometrics1
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Progress of Complex System Process Analysis Based on Modern Spectroscopy Combined With Chemometrics1
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Detection of Lead Chrome Green in Tea Based on Near‐Infrared Reflectance Spectroscopy1
A Perspective on Using Immersive Analytics With Virtual Reality for One‐Class Classification Decisions1
Feasibility Study on Identifying Seed Variety of Soybean With Hyperspectral Imaging and Deep Learning1
Robust Constrained Partial Least Squares: A Robust Integrated Algorithm for Multivariate Regression in the Presence of Outliers, Interfering Analytes, and Structured External Influences1
kNNPC (k‐Nearest Neighbor Algorithm Per‐Class): Classification Method Predicting Extrapolation Regions With Reasonable Probability1
Detection of the storage time of light bruises in yellow peaches based on spectrum and texture features of hyperspectral image1
Industrial Process Fault Detection Based on IGA‐Combinatorial Model Decision Mechanism1
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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
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