Journal of Chemometrics

Papers
(The median citation count of Journal of Chemometrics is 0. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Introduction to Bayesian methods34
Estimating the reliability of predictions in locally weighted partial least‐squares modeling23
Structured discriminative Gaussian graph learning for multimode process monitoring21
Semi‐quantification of binary saline solutions by Raman spectroscopy: Implications for Europa18
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lrSVD: An efficient imputation algorithm for incomplete high‐throughput compositional data13
Two new methods for the estimation and interpretation of the range of feasible profiles in multivariate curve resolution and their implications to analytical chemistry12
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Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach11
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H‐type indices with applications in chemometrics I: h‐multiple similarity index8
Who is winning? A comparison of humans versus computers for calibration model building7
Comparative study using design experiment to assess an anionic dye degradation in aqueous solution through the application of different advanced oxidation processes7
Just‐in‐time latent autoregressive residual generation for dynamic process monitoring7
Roadmap for outlier detection in univariate linear calibration in analytical chemistry: Tutorial review7
Data‐analysis method for material optimization by forecasting long‐term chemical stability7
H‐type indices with applications in chemometrics II: h‐outlyingness index7
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A comprehensive tutorial on data‐driven SIMCA: Theory and implementation in web5
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Detection the internal quality of watermelon seeds based on terahertz imaging technology combined with image smoothing and enhancement algorithm5
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Dual‐constrained and primal‐constrained principal component analysis5
Detection storage time of mangoes after mild bruise based on hyperspectral imaging combined with deep learning5
Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide Monitoring5
An Alignment‐Agnostic Methodology for the Analysis of Designed Separations Data5
Application of ultramicrotomy and infrared imaging to the forensic examination of automotive paint5
Investigation of the Physiological and Post‐training Effects of Ecdysteroid Supplementation by Multivariate Analysis of the Human Serum Metabolome5
Determination of Halitosis by Exhaled Breath Analysis Using Semiconductor Metal Oxide Sensors and Chemometric Methods5
Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy4
A prediction model of nonclassical secreted protein based on deep learning4
Classification of forensic hyperspectral paper data using hybrid spectral similarity algorithms4
Omega‐3 Marine Fatty Acid Supplementation to Healthy Subjects Interacts With Moderate Physical Activity to Provide a Cardiovascular Healthier Lipoprotein Subclass Profile4
Data point importance: Information ranking in multivariate data4
Shift‐invariant tri‐linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data4
The canonical partial least squares approach to analysing multiway datasets—N‐CPLS4
Adjusted Pareto Scaling for Multivariate Calibration Models4
Can One Recover the Underlying Spectral Data Matrix From a Given Borgen Plot?3
Partial least median of squares regression3
Chemometric Classification of Motor Oils Using 1H NMR Spectroscopy With Simultaneous Phase and Baseline Optimization3
Response surface experimental design for simultaneous chromatographic determination of two antiviral agents “Favipiravir and Remdesivir” in pharmaceuticals and spiked plasma samples3
Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection3
Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine raw milk3
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Principal components analysis with several objects and variables3
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Application of principal component analysis‐multivariate adaptive regression splines for the determination of surface area in zeolites3
Past, Present and Future of Research in Analytical Figures of Merit3
Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data3
The difference of model robustness assessment using cross‐validation and bootstrap methods3
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Dedicated to Edmund R. Malinowski. Secondary, model‐based examination of model‐free analysis results: Making the most of soft‐modelling outcomes2
Multivariate classification models2
Generating realistic infrared spectra using artificial neural networks2
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Teach Chemometrics in short course format2
Empirical and statistical p values and Type 1 error rates: Putting it all together2
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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 models2
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification2
Evaluation of Annual Storage on Online Released Compounds in Artemisia argyi Smoke With GC‐MS‐Based Untargeted Metabolomics Coupled With Chemometric Method of AntDAS‐GCMS2
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Assessing Classification Models of Pharmaceuticals With Conformal Prediction2
Optimized extraction of Pb (II) and Co (II) with glycolamide mono and di‐ionic liquids using response surface methodology2
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Detection and prediction of active ingredients in fingerprints of traditional Chinese medicine from a high‐dimensional perspective2
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
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Introduction to statistical, algorithmic and theoretical basis of principal components analysis2
A systematic study on the effect of different error structures on pseudo‐univariate and multivariate figures of merit2
In honour of Edmund R. Malinowski2
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A Simulation Study of the Effects of Additive, Multiplicative, Correlated, and Uncorrelated Errors on Principal Component Analysis1
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Dynamic Multiblock Regression for Process Modelling1
Predicting pectin performance strength using near‐infrared spectroscopic data: A comparative evaluation of 1‐D convolutional neural network, partial least squares, and ridge regression modeling1
Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data1
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Principal balances of compositional data for regression and classification using partial least squares1
Alternative weighting schemes for fine‐tuned extended similarity indices1
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
Research progress on the application of hyperspectral imaging techniques in tea science1
Monitoring a Coffee Roasting Process Based on Near‐Infrared and Raman Spectroscopy Coupled With Chemometrics1
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Data fusion of multiple‐information strategy based on Fourier transform near infrared spectroscopy and Fourier‐transform mid infrared for geographical traceability of Wolfiporia cocos combined 1
Analytical Figures of Merit in Univariate, Multivariate, and Multiway Calibration: What Have We Learned? What Do We Still Need to Learn?1
On the Replicability of the Thermodynamic Modeling of Spectroscopic Titration Data in the Nickel(II) En System1
Industrial Process Fault Detection Based on IGA‐Combinatorial Model Decision Mechanism1
SFMD‐X: A New Functional Data Classifier Based on Shrinkage Functional Mahalanobis Distance1
Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer1
Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste1
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An efficient and accurate numerical determination of the cluster resolution metric in two dimensions1
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A Non‐Linear Model for Multiple Alcohol Intakes and Optimal Designs Strategies1
Intelligent component detection of quaternary blended oil based on near infrared spectroscopy technology1
Data Augmentation and Fault Diagnosis for Imbalanced Industrial Process Data Based on Residual Wasserstein Generative Adversarial Network With Gradient Penalty1
Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling1
On the signal contribution function with respect to different norms1
Firefly Interval Selection Combined With Extreme Learning Machine for Spectral Quantification of Complex Samples1
Can Angle Measures Be Useful in MCR Analyses?1
Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry1
Visualization of confusion matrices with network graphs1
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Mid‐infrared spectroscopy study of aqueous solution of ethylene glycol using chemometrics analysis and two‐dimensional correlation spectroscopy1
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Principal Component Analysis: Standardisation1
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Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models1
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Artificial neural network (ANN) modeling for simultaneous removal of a binary mixture of Pb(II) and Cu(II) by cobalt hydroxide nano‐flakes0
Description of the short communication “Is core consistency a too conservative diagnostic?”0
Introduction to special issue on chemometrics in Iran0
Novel Sexalinear Decomposition Algorithm for Analyzing the Chemical Sexalinear Data Array0
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Application of time‐space neighborhood standardization technology to complex multi‐stage process fault detection0
Origin of the OECD Principles for QSAR Validation and Their Role in Changing the QSAR Paradigm Worldwide: An Historical Overview0
Making sense of multiple distance matrices through common and distinct components0
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Report of Path Modelling Workshop, Zaandam, The Netherlands, 25–26 April 20220
A Multiple Linear Regression–Based Algorithm to Correct for Cosmic Rays in Raman Images0
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Remembering Prof. Edmund R. Malinowski, 1932–2020 Professor of Chemistry, 1963–1997 Stevens Institute of Technology0
A Greener, Safer, and More Understandable AI for Natural Science and Technology0
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Deep chemometrics: Validation and transfer of a global deep near‐infrared fruit model to use it on a new portable instrument0
Deep electron cloud‐activity and field‐activity relationships0
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Efficiently handling high‐dimensional data from multifactorial designs with unequal group sizes using Rebalanced ASCA (RASCA)0
A comprehensive tutorial on Data‐Driven SIMCA: Theory and implementation in web0
Extreme Learning Machine Combined With Whale Optimization Algorithm for Spectral Quantitative Analysis of Complex Samples0
Normalization Strategies for Lipidome Data in Cell Line Panels0
Deep Information Retention Network‐Enabled Data Modeling for Key Quality Indicator Prediction in the Chemical Industry0
Evaluation of Classical Least Squares Discriminant Analysis (CLS‐DA) as a Novel Supervised Pattern Recognition Technique0
On properties of EFA plots0
Fault Detection Strategy of Partial Least Squares Based on Temporal Neighborhood Difference0
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study0
Teaching chemometrics in short course format0
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Decomposition of overlapping peaks in X‐ray fluorescence using improved crow searching algorithm based on opposite learning0
Near‐Infrared Spectroscopy and Aquaphotomics in Cancer Research: A Pilot Study0
Feature Variable Selection for Near‐Infrared Spectroscopy Based on Simulated Annealing Bee Colony Algorithm0
Introduction to residuals and estimation by principal components analysis0
Next‐Gen Crop Monitoring: MTEG‐RTU Algorithm and UAV Synergy for Precise Disease Diagnosis0
Adaptive soft sensor modeling of chemical processes based on an improved just‐in‐time learning and random mapping partial least squares0
Detection of the storage time of light bruises in yellow peaches based on spectrum and texture features of hyperspectral image0
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Optimizing air quality predictions: A discrete wavelet transform and long short‐term memory approach with wavelet‐type selection for hourly PM10 concentrations0
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A Novel Automated System for Early Diabetic Retinopathy Detection and Severity Classification0
On a black hole effect in bilinear curve resolution based on least squares0
Detection of moisture content of edamame based on the fusion of reflectance and transmittance spectra of hyperspectral imaging0
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Efficient Wavelength Selection for Limited Near‐Infrared Spectral Data via Genetic Algorithm and Hybrid Regression0
Automatic food and beverage authentication and adulteration detection by classification hybrid fusion0
Getting Insights Into Chromatographic Properties of HILIС and Mixed‐Mode Homemade Stationary Phases Using Principal Component and Cluster Analyses0
Ink source prediction and assessment based on direct analysis in real‐time mass spectrometry via the likelihood ratio0
Application of chemometrics on Raman spectra from Mars: Recent advances and future perspectives0
A Raman spectroscopy–compositional–structural investigation of lunar surface materials and analogues0
Nonparametric Threshold Estimation of Autocorrelated Statistics in Multivariate Statistical Process Monitoring0
Evaluation of spectral collection strategies for identification of Dalbergia spp. using handheld laser‐induced breakdown spectroscopy0
Genetic robust kernel sample selection for chemometric data analysis0
A Novel One‐Class Convolutional Autoencoder Combined With Excitation–Emission Matrix Fluorescence Spectroscopy for Authenticity Identification of Food0
X‐Ray Computed Tomography Meets Robust Chemometric Latent Space Modeling for Lean Meat Percentage Prediction in Pig Carcasses0
On the complementary nature of ANOVA simultaneous component analysis (ASCA+) and Tucker3 tensor decompositions on designed multi‐way datasets0
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Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer0
Methodology adjusting for least squares regression slope in the application of multiplicative scatter correction to near‐infrared spectra of forage feed samples0
A chemometrician's guide to transfer learning0
Classification of Horsetails Using Predictive Modelling on NIR Spectra0
Topics in Chemometrics TIC 2023 in Rostock, Germany0
On Hidden Rank Deficiency in MCR Problems0
Automatic hierarchical model builder0
Resampling as a Robust Measure of Model Complexity in PARAFAC Models0
Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra0
Automatic pretreatment and multiblock analysis of flavor release and sensory temporal data simultaneously collected in vivo0
Paul Geladi (1951–2024) Chemometrician, spectroscopist and pioneer0
A reliable algorithm for calculating stoichiometry parameters in the hard modeling of spectrophotometric titration data0
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Application of stable consistency wavelength in optimizing gasoline RON near‐infrared analysis model transfer0
Characterisation of Position‐Dependant Ripening Dynamics of Nectarines Using Near‐Infrared Spectroscopy and ASCA0
Experimental designs for controlling the correlation of estimators in two‐parameter models0
Liu regression after random forest for prediction and modeling in high dimension0
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Novelty and Similarity: Detection Using Data‐Driven Soft Independent Modeling of Class Analogy0
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Flexible Trilinearity Alignment (FTA) and Shift Invariant Transformation (SIT) Constraints in Three‐Way Multivariate Curve Resolution Data Analysis0
ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression0
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Variable selection by permutation applied in support vector regression models0
Swiss knife covariates selection: A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses0
Application of ATR‐FTIR Spectrum Combined With Ensemble Learning and Deep Learning for Identification of Amomum tsao‐ko at Different Drying Temperatures0
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On partial least‐squares estimation in scalar‐on‐function regression models0
Cell Culture Media and Raman Spectra Preprocessing Procedures Impact Glucose Chemometrics0
Permutation Strategies for Inference in ANOVA‐Based Models for Nonorthogonal Designs Including Continuous Covariates0
Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm0
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Some Views on Multi‐criteria Methods for Data Analysis0
ATR‐FTIR Spectroscopy Preprocessing Technique Selection for Identification of Geographical Origins of Gastrodia elata Blume0
Rapid Detection of Stabilizer Content in Double‐Base Propellant Based on Artificial Neural Network Combined With Near‐Infrared Spectroscopy0
Assessment of adulteration of sage (Salvia sp.) with olive leaves using high‐performance thin‐layer chromatography, image analysis, and multivariate linear modeling0
Machine learning in prediction of intrinsic aqueous solubility of drug‐like compounds: Generalization, complexity, or predictive ability?0
Principal Components Analysis: Centring and Rotations0
Characterization of Chemical Information and Content Prediction of Dendrobium officinale Based on ATR‐FTIR0
Soft Sensor Modeling of Acrylic Acid Yield Based on Autoencoder Long Short‐Term Memory Neural Network of Savitzky–Golay and ReliefF Algorithm0
Spatial–Temporal Deviation Analysis for Multivariate Statistical Process Monitoring0
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Classification of colorectal primer carcinoma from normal colon with mid‐infrared spectra0
A synthetic review of some recent extensions of ComDim0
ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution0
Dynamic Process Fault Detection and Diagnosis Method Based on Factor Analysis: Application on the Three‐Tank System Process0
Implications of confounding from unmodeled interactions between explanatory variables when using latent variable regression models to make inferences0
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Detection the quality of pumpkin seeds based on terahertz coupled with convolutional neural network0
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Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis0
A Practical Framework Integrating Two‐Way Chemometric Methods With Three‐Way Ones for the Analysis of Hyphenated Chromatographic Data of Complex Systems0
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