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 2020-11-01 to 2024-11-01.)
ArticleCitations
Machine learning in prediction of intrinsic aqueous solubility of drug‐like compounds: Generalization, complexity, or predictive ability?34
On the possible benefits of deep learning for spectral preprocessing21
Deep chemometrics: Validation and transfer of a global deep near‐infrared fruit model to use it on a new portable instrument21
N‐BANDS: A new algorithm for estimating the extension of feasible bands in multivariate curve resolution of multicomponent systems in the presence of noise and rotational ambiguity18
Contingency tables, confusion matrices, classifiers and quality of prediction14
Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste12
Predicting pectin performance strength using near‐infrared spectroscopic data: A comparative evaluation of 1‐D convolutional neural network, partial least squares, and ridge regression modeling12
Predicting molecular activity on nuclear receptors by multitask neural networks12
A robust functional partial least squares for scalar‐on‐multiple‐function regression11
A chemometrician's guide to transfer learning11
Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine raw milk11
Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm10
Artificial intelligence‐based multiobjective optimization of reverse osmosis desalination pretreatment using a hybrid ZnO‐immobilized/photo‐Fenton process10
Analytic formulas of peak current in cyclic voltammogram: Machine learning as an alternative way?10
Estimating the reliability of predictions in locally weighted partial least‐squares modeling10
Graph‐based calibration transfer9
Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer9
Laser‐induced breakdown spectroscopy and chemometric analysis of black toners for forensic applications9
A chemometrician's guide to transfer learning9
Chemometry‐assisted UV‐spectrophotmetric methods for the simultaneous determination of paritaprevir, ritonavir, and ombitasvir in their combined tablet dosage forms: A comparative study8
IQR CUSUM charts: An efficient approach for monitoring variations in aquatic toxicity7
Graphical introduction to principal components analysis7
Liu regression after random forest for prediction and modeling in high dimension7
Principal components analysis with several objects and variables7
Numerical introduction to principal components analysis7
Influence diagnostics in the inverse Gaussian ridge regression model: Applications in chemometrics7
Multisource information fusion strategies of mass spectrometry and Fourier transform infrared spectroscopy data for authenticating the age and parts of Vietnamese ginseng6
Optimization total phenolic content and antioxidant activity of Saccocalyx satureioides extracts obtained by ultrasonic‐assisted extraction6
Performance of smoothly clipped absolute deviation as a variable selection method in the artificial neural network‐based QSAR studies6
An efficient and accurate numerical determination of the cluster resolution metric in two dimensions6
Permutation tests for ASCA in multivariate longitudinal intervention studies6
The canonical partial least squares approach to analysing multiway datasets—N‐CPLS6
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 5
A reliable algorithm for calculating stoichiometry parameters in the hard modeling of spectrophotometric titration data5
A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes5
An algorithm for robust multiblock partial least squares predictive modelling5
Shift‐invariant tri‐linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data5
limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods5
A comparative performance of machine learning algorithms on laser‐induced breakdown spectroscopy data of minerals5
Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data5
Data point importance: Information ranking in multivariate data5
Modeling and optimization of phycoremediation of heavy metals from simulated ash pond water through robust hybrid artificial intelligence approach5
Pattern recognition: An effective tool for quality assessment of herbal medicine based on chemical information5
A pilot study on parallel factor analysis as a diagnostic tool for oral cancer diagnosis: A statistical modeling approach5
Artificial neural network (ANN) modeling for simultaneous removal of a binary mixture of Pb(II) and Cu(II) by cobalt hydroxide nano‐flakes4
Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)4
Monte Carlo methods for estimating Mallows's Cp and AIC criteria for PLSR models. Illustration on agronomic spectroscopic NIR data4
Visualization of confusion matrices with network graphs4
Comparative study between Partial Least Squares and Rational function Ridge Regression models for the prediction of moisture content of woodchip samples using a handheld spectrophotometer4
Methodology adjusting for least squares regression slope in the application of multiplicative scatter correction to near‐infrared spectra of forage feed samples4
Authentication of edible oils using an infrared spectral library and digital sample sets: A feasibility study4
Modelling of the adsorption of urea herbicides by tropical soils with an Adaptive‐Neural‐based Fuzzy Inference System4
Classification of forensic hyperspectral paper data using hybrid spectral similarity algorithms4
Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra4
A new concept based on ensemble strategy and derivative for the quantitative analysis of infrared data4
Support vector regression that takes into consideration the importance of explanatory variables4
Generalized simultaneous component analysis of binary and quantitative data4
Raman spectroscopy and multivariate analysis for identification and classification of pharmaceutical pain reliever tablets3
Decomposition of multi‐component fluorescence spectra by narrow peak method based on principal component analysis3
On the area of feasible solutions for rank‐deficient problems: I. Introduction of a generalized concept3
Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach3
Teaching chemometrics in short course format3
Automatic food and beverage authentication and adulteration detection by classification hybrid fusion3
Is core consistency a too conservative diagnostic?3
Partial least squares regression with multiple domains3
Research progress on the application of hyperspectral imaging techniques in tea science3
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 neural3
Automatic pretreatment and multiblock analysis of flavor release and sensory temporal data simultaneously collected in vivo3
On a black hole effect in bilinear curve resolution based on least squares3
Diagnosing indirect relationships in multivariate calibration models3
Performance enhancement‐based active learning sample selection method3
Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation 3
Partial least median of squares regression3
On properties of EFA plots3
ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution3
Classification of urban soils for forensic purposes using supervised self‐organizing maps3
Swiss knife covariates selection: A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses2
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study2
Variable selection by permutation applied in support vector regression models2
Ink source prediction and assessment based on direct analysis in real‐time mass spectrometry via the likelihood ratio2
ATR‐FTIR spectroscopy and chemometric complexity: unfolding the intra‐skeleton variability2
Chromatographic method development for simultaneous determination of serotonin, melatonin, and L‐tryptophan: Mass transfer modeling, chromatographic separation factors, and method prediction by artifi2
Plasma spectroscopy + chemometrics: An ideal approach for the spectrochemical analysis of iron phosphate glass samples2
Sample selection method using near‐infrared spectral information entropy as similarity criterion for constructing and updating peach firmness and soluble solids content prediction models2
The difference of model robustness assessment using cross‐validation and bootstrap methods2
Decomposition of overlapping peaks in X‐ray fluorescence using improved crow searching algorithm based on opposite learning2
Comparison of partial least squares‐discriminant analysis and soft independent modeling of class analogy methods for classification of Saccharomyces cerevisiae cells based on mid‐inf2
Determination of ingredients in packaged pharmaceutical tablets by energy dispersive X‐ray diffraction and maximum likelihood principal component analysis multivariate curve resolution‐alternating lea2
Application of chemometrics on Raman spectra from Mars: Recent advances and future perspectives2
Chemometrics in forensic science2
A brief note on a new faster covariate's selection (fCovSel) algorithm2
Polymorph identification in green Chinese architectural paints using Raman imaging and multivariate curve resolution2
Optimized extraction of Pb (II) and Co (II) with glycolamide mono and di‐ionic liquids using response surface methodology2
Application of ultramicrotomy and infrared imaging to the forensic examination of automotive paint2
Semi‐quantification of binary saline solutions by Raman spectroscopy: Implications for Europa2
Automatic hierarchical model builder2
Varietal quality control in the nursery plant industry using computer vision and deep learning techniques2
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Efficiently handling high‐dimensional data from multifactorial designs with unequal group sizes using Rebalanced ASCA (RASCA)2
Selection of principal variables through a modified Gram–Schmidt process with and without supervision2
Weighted multivariate curve resolution—Alternating least squares based on sample relevance2
A tutorial on the analysis of multifactorial designs from one or more data sources using AComDim2
An end‐to‐end deep learning approach for Raman spectroscopy classification2
Introduction to statistical, algorithmic and theoretical basis of principal components analysis2
Dual‐constrained and primal‐constrained principal component analysis2
Introduction to residuals and estimation by principal components analysis1
Developing multifruit global near‐infrared model to predict dry matter based on just‐in‐time modeling1
Using the extract of pomegranate peel as a natural indicator for colorimetric detection and simultaneous determination of Fe3+ and Fe2+ by partial least squares–artificial neural1
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Classification of tablet formulations by desorption electrospray ionisation mass spectrometry and transmission Raman spectroscopy1
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Can Angle Measures Be Useful in MCR Analyses?1
A synthetic review of some recent extensions of ComDim1
Dedicated to Edmund R. Malinowski. Secondary, model‐based examination of model‐free analysis results: Making the most of soft‐modelling outcomes1
Application of time‐space neighborhood standardization technology to complex multi‐stage process fault detection1
A systematic study on the effect of different error structures on pseudo‐univariate and multivariate figures of merit1
Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis1
Roadmap for outlier detection in univariate linear calibration in analytical chemistry: Tutorial review1
Permutation Strategies for Inference in ANOVA‐Based Models for Nonorthogonal Designs Including Continuous Covariates1
A comprehensive tutorial on Data‐Driven SIMCA: Theory and implementation in web1
Partial least squares and silver nanoparticles in spectrophotometric prediction of total hardness of water1
Benchtop NIR data standardization on handheld spectrometers to identify paracetamol tablets1
Fast quantification of diclofenac sodium content in commercially available tablets by transmission Raman spectroscopy with PLS1
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Optimization of ultrasonic‐assisted extraction and purification of flavonoids with biological activities from Ficus Pumila L.1
A Raman spectroscopy–compositional–structural investigation of lunar surface materials and analogues1
Principal balances of compositional data for regression and classification using partial least squares1
Making sense of multiple distance matrices through common and distinct components1
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification1
Detection of the storage time of light bruises in yellow peaches based on spectrum and texture features of hyperspectral image1
Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection1
Application of stable consistency wavelength in optimizing gasoline RON near‐infrared analysis model transfer1
Who is winning? A comparison of humans versus computers for calibration model building1
ATR‐FTIR Spectroscopy Preprocessing Technique Selection for Identification of Geographical Origins of Gastrodia elata Blume1
Quantitative study on impact damage of honey peaches based on reflection, absorbance, and Kubelka‐Munk spectrum combined with color characteristics1
Utilization of ultraviolet‐visible spectrophotometry in conjunction with wrapper method and correlated component regression for nitrite prediction outside the Beer–Lambert domain1
A dynamic sample augmentation Kriging metamodeling method for industrial residue hydrogenation process1
Adaptive deep fusion neural network based soft sensor for industrial process1
Advancements in multivariate analysis of variance1
Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models1
On partial least‐squares estimation in scalar‐on‐function regression models1
On the signal contribution function with respect to different norms1
ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression1
Application of principal component analysis‐multivariate adaptive regression splines for the determination of surface area in zeolites1
Optimizing air quality predictions: A discrete wavelet transform and long short‐term memory approach with wavelet‐type selection for hourly PM10 concentrations1
lrSVD: An efficient imputation algorithm for incomplete high‐throughput compositional data1
On the complementary nature of ANOVA simultaneous component analysis (ASCA+) and Tucker3 tensor decompositions on designed multi‐way datasets1
A comprehensive tutorial on data‐driven SIMCA: Theory and implementation in web1
A Simulation Study of the Effects of Additive, Multiplicative, Correlated, and Uncorrelated Errors on Principal Component Analysis0
Analytical Figures of Merit in Univariate, Multivariate, and Multiway Calibration: What Have We Learned? What Do We Still Need to Learn?0
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Past, Present and Future of Research in Analytical Figures of Merit0
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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 Hyperprior0
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Testing differences in predictive ability: A tutorial0
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H‐type indices with applications in chemometrics II: h‐outlyingness index0
On the Replicability of the Thermodynamic Modeling of Spectroscopic Titration Data in the Nickel(II) En System0
Teach Chemometrics in short course format0
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Alternative weighting schemes for fine‐tuned extended similarity indices0
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Empirical and statistical p values and Type 1 error rates: Putting it all together0
Distribution‐free predictive inference for partial least squares regression with applications to molecular descriptors datasets0
In honour of Edmund R. Malinowski0
TRICAP 2018 Angel Fire Resort, New Mexico0
Multivariate classification models0
Introduction to Bayesian methods0
Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer0
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H‐type indices with applications in chemometrics I: h‐multiple similarity index0
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A Non‐Linear Model for Multiple Alcohol Intakes and Optimal Designs Strategies0
Two new methods for the estimation and interpretation of the range of feasible profiles in multivariate curve resolution and their implications to analytical chemistry0
Industrial Process Fault Detection Based on IGA‐Combinatorial Model Decision Mechanism0
On using kernel integration by graphical LASSO to study partial correlations between heterogeneous data sets0
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A prediction model of nonclassical secreted protein based on deep learning0
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Adjusted Pareto Scaling for Multivariate Calibration Models0
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Nondestructive Identification of Wheat Seed Variety and Geographical Origin Using Near‐Infrared Hyperspectral Imagery and Deep Learning0
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Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data0
Comparative study using design experiment to assess an anionic dye degradation in aqueous solution through the application of different advanced oxidation processes0
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Toward more efficient and effective color quality control for the large‐scale offset printing process0
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Chemometric Classification of Motor Oils Using 1H NMR Spectroscopy With Simultaneous Phase and Baseline Optimization0
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Intelligent component detection of quaternary blended oil based on near infrared spectroscopy technology0
Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry0
Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling0
Generating realistic infrared spectra using artificial neural networks0
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The MCR‐ALS Trilinearity Constraint for Data With Missing Values0
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Determination of Tetracaine and Oxymetazoline in Drugs and Saliva via Potentiometric Sensor Arrays Based on Fluoropolymer/Polyaniline Composites0
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Investigation of the Physiological and Post‐training Effects of Ecdysteroid Supplementation by Multivariate Analysis of the Human Serum Metabolome0
Response surface experimental design for simultaneous chromatographic determination of two antiviral agents “Favipiravir and Remdesivir” in pharmaceuticals and spiked plasma samples0
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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 Profile0
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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 ar0
Mid‐infrared spectroscopy study of aqueous solution of ethylene glycol using chemometrics analysis and two‐dimensional correlation spectroscopy0
Detection storage time of mangoes after mild bruise based on hyperspectral imaging combined with deep learning0
Data‐analysis method for material optimization by forecasting long‐term chemical stability0
Sparse Multiple Factor Analysis, sparse STATIS, and sparse DiSTATIS with applications to sensory evaluation0
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Just‐in‐time latent autoregressive residual generation for dynamic process monitoring0
Firefly Interval Selection Combined With Extreme Learning Machine for Spectral Quantification of Complex Samples0
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Structured discriminative Gaussian graph learning for multimode process monitoring0
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Detection and prediction of active ingredients in fingerprints of traditional Chinese medicine from a high‐dimensional perspective0
Identifying putative key metabolites from fingerprinting metabolomics for the authentication of rice origin: A case study of Sengcu rice0
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Detection the internal quality of watermelon seeds based on terahertz imaging technology combined with image smoothing and enhancement algorithm0
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Principal component regression that minimizes the sum of the squares of the relative errors: Application in multivariate calibration models0
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