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 2020-07-01 to 2024-07-01.)
ArticleCitations
Preprocessing methods for near‐infrared spectrum calibration62
Machine learning in prediction of intrinsic aqueous solubility of drug‐like compounds: Generalization, complexity, or predictive ability?32
Deep chemometrics: Validation and transfer of a global deep near‐infrared fruit model to use it on a new portable instrument21
Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning18
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 ambiguity17
On the possible benefits of deep learning for spectral preprocessing16
A Liu estimator for the beta regression model and its application to chemical data15
Multivariate curve resolution of multiway data using the multilinearity constraint14
Variable selection in support vector regression using angular search algorithm and variance inflation factor14
Investigating challenges with scattering and inner filter effects in front‐face fluorescence by PARAFAC13
Predicting molecular activity on nuclear receptors by multitask neural networks12
Contingency tables, confusion matrices, classifiers and quality of prediction12
Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste12
Envelopes: A new chapter in partial least squares regression11
A chemometrician's guide to transfer learning11
Predicting pectin performance strength using near‐infrared spectroscopic data: A comparative evaluation of 1‐D convolutional neural network, partial least squares, and ridge regression modeling11
Analytic formulas of peak current in cyclic voltammogram: Machine learning as an alternative way?10
A robust functional partial least squares for scalar‐on‐multiple‐function regression10
A comparison between Box–Behnken design and artificial neural network: Modeling of removal of Phenol Red from water solutions by nanocobalt hydroxide10
Artificial intelligence‐based multiobjective optimization of reverse osmosis desalination pretreatment using a hybrid ZnO‐immobilized/photo‐Fenton process9
Rapid quantification of constituents in tobacco by NIR fiber‐optic probe9
Graph‐based calibration transfer9
Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm9
Estimating the reliability of predictions in locally weighted partial least‐squares modeling9
A chemometric approach to compare Portuguese native hops with worldwide commercial varieties8
Mixture analysis using non‐negative elastic net for Raman spectroscopy8
Chemometry‐assisted UV‐spectrophotmetric methods for the simultaneous determination of paritaprevir, ritonavir, and ombitasvir in their combined tablet dosage forms: A comparative study8
A chemometrician's guide to transfer learning8
Laser‐induced breakdown spectroscopy and chemometric analysis of black toners for forensic applications8
Exploring local spatial features in hyperspectral images7
Ensemble classification and regression techniques combined with portable near infrared spectroscopy for facile and rapid detection of water adulteration in bovine raw milk7
IQR CUSUM charts: An efficient approach for monitoring variations in aquatic toxicity7
Influence diagnostics in the inverse Gaussian ridge regression model: Applications in chemometrics7
Graphical introduction to principal components analysis7
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
The canonical partial least squares approach to analysing multiway datasets—N‐CPLS6
Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer6
Numerical introduction to principal components analysis6
Principal components analysis with several objects and variables6
Envelopes: A new chapter in partial least squares regression5
End‐to‐end analysis modeling of vibrational spectroscopy based on deep learning approach5
Liu regression after random forest for prediction and modeling in high dimension5
limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods5
Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data5
NanoMetrix: An app for chemometric analysis from near infrared spectra5
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
A comparative performance of machine learning algorithms on laser‐induced breakdown spectroscopy data of minerals5
An efficient and accurate numerical determination of the cluster resolution metric in two dimensions5
Extraction of information about structural changes in a semisolid pharmaceutical formulation from near‐infrared and Raman images by multivariate curve resolution–alternating least squares and ComDim5
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
Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra4
Support vector regression that takes into consideration the importance of explanatory variables4
Monte Carlo methods for estimating Mallows's Cp and AIC criteria for PLSR models. Illustration on agronomic spectroscopic NIR data4
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 4
Modeling and optimization of phycoremediation of heavy metals from simulated ash pond water through robust hybrid artificial intelligence approach4
Chemosensory aerosol assessment of key attributes for tobacco products4
Model selection techniques for sparse weight‐based principal component analysis4
Generalized simultaneous component analysis of binary and quantitative data4
Shift‐invariant tri‐linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data4
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
Dimensionality reduction of multielement glass evidence to calculate likelihood ratios4
Correction of overlapping peaks of Pb and As spectrum based on a chaotic particle swarm optimization–Gaussian mixture statistical model4
Sparse common and distinctive covariates regression4
Classification of forensic hyperspectral paper data using hybrid spectral similarity algorithms4
Research progress on the application of hyperspectral imaging techniques in tea science3
Visualization of confusion matrices with network graphs3
Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach3
Application of response surface methodology for optimization of ultrasound‐assisted solid‐liquid extraction of phenolic compounds from Cenostigma macrophyllum3
Diagnosing indirect relationships in multivariate calibration models3
Multivariate calibration: Identification of phenolic compounds in PROPOLIS using FT‐NIR3
Permutation tests for ASCA in multivariate longitudinal intervention studies3
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
Partial least median of squares regression3
ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution3
Artificial neural network (ANN) modeling for simultaneous removal of a binary mixture of Pb(II) and Cu(II) by cobalt hydroxide nano‐flakes3
A new concept based on ensemble strategy and derivative for the quantitative analysis of infrared data3
Decomposition of multi‐component fluorescence spectra by narrow peak method based on principal component analysis3
An algorithm for robust multiblock partial least squares predictive modelling3
On the area of feasible solutions for rank‐deficient problems: I. Introduction of a generalized concept3
Data point importance: Information ranking in multivariate data3
Classification of urban soils for forensic purposes using supervised self‐organizing maps3
Authentication of edible oils using an infrared spectral library and digital sample sets: A feasibility study3
Raman spectroscopy and multivariate analysis for identification and classification of pharmaceutical pain reliever tablets3
Modelling of the adsorption of urea herbicides by tropical soils with an Adaptive‐Neural‐based Fuzzy Inference System3
Optimized extraction of Pb (II) and Co (II) with glycolamide mono and di‐ionic liquids using response surface methodology2
On properties of EFA plots2
Application of ultramicrotomy and infrared imaging to the forensic examination of automotive paint2
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
Teaching chemometrics in short course format2
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Application of chemometrics on Raman spectra from Mars: Recent advances and future perspectives2
Chemometrics in forensic science2
An end‐to‐end deep learning approach for Raman spectroscopy classification2
Is core consistency a too conservative diagnostic?2
Performance enhancement‐based active learning sample selection method2
Partial least squares discrimination applied to a few samples dataset: A case for predicting the presence of pesticide in lettuce2
Introduction to statistical, algorithmic and theoretical basis of principal components analysis2
Methodologies based on ASCA to elucidate the influence of a subprocess: Vinification as a case of study2
Semi‐quantification of binary saline solutions by Raman spectroscopy: Implications for Europa2
Varietal quality control in the nursery plant industry using computer vision and deep learning techniques2
Automatic pretreatment and multiblock analysis of flavor release and sensory temporal data simultaneously collected in vivo2
Methodology adjusting for least squares regression slope in the application of multiplicative scatter correction to near‐infrared spectra of forage feed samples2
On a black hole effect in bilinear curve resolution based on least squares2
Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)2
Polymorph identification in green Chinese architectural paints using Raman imaging and multivariate curve resolution2
ATR‐FTIR spectroscopy and chemometric complexity: unfolding the intra‐skeleton variability2
Plasma spectroscopy + chemometrics: An ideal approach for the spectrochemical analysis of iron phosphate glass samples2
Evaluation of temperature compensation methods for a near‐infrared calibration to predict the viscosity of micellar liquids2
Dual‐constrained and primal‐constrained principal component analysis2
Swiss knife covariates selection: A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses2
Automatic food and beverage authentication and adulteration detection by classification hybrid fusion2
Decomposition of overlapping peaks in X‐ray fluorescence using improved crow searching algorithm based on opposite learning2
Variable selection by permutation applied in support vector regression models2
Efficiently handling high‐dimensional data from multifactorial designs with unequal group sizes using Rebalanced ASCA (RASCA)2
Ant colony optimization for variable selection in discriminant linear analysis2
Weighted multivariate curve resolution—Alternating least squares based on sample relevance2
A brief note on a new faster covariate's selection (fCovSel) algorithm2
A tutorial on the analysis of multifactorial designs from one or more data sources using AComDim2
A synthetic review of some recent extensions of ComDim1
A tribute to Professor Ronei J. Poppi, a pioneer of multivariate calibration in South America and a prolific mentor of chemometricians in Brazil1
Ink source prediction and assessment based on direct analysis in real‐time mass spectrometry via the likelihood ratio1
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
Partial least squares and silver nanoparticles in spectrophotometric prediction of total hardness of water1
Advancements in multivariate analysis of variance1
Partial least squares regression with multiple domains1
On the signal contribution function with respect to different norms1
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
Making sense of multiple distance matrices through common and distinct components1
Sample selection method using near‐infrared spectral information entropy as similarity criterion for constructing and updating peach firmness and soluble solids content prediction models1
Determination of ingredients in packaged pharmaceutical tablets by energy dispersive X‐ray diffraction and maximum likelihood principal component analysis multivariate curve resolution‐alternating lea1
Monitoring of industrial processes using robust global–local preserving projection1
Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis1
Who is winning? A comparison of humans versus computers for calibration model building1
Introduction to residuals and estimation by principal components analysis1
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
Classification of tablet formulations by desorption electrospray ionisation mass spectrometry and transmission Raman spectroscopy1
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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
Application of principal component analysis‐multivariate adaptive regression splines for the determination of surface area in zeolites1
Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection1
Estrogens determination through disposable pipette extraction coupled to ultraviolet spectroscopy and nonlinear pseudo‐univariate calibration: Solving rank deficiency problems1
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification1
On partial least‐squares estimation in scalar‐on‐function regression models1
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Application of stable consistency wavelength in optimizing gasoline RON near‐infrared analysis model transfer1
lrSVD: An efficient imputation algorithm for incomplete high‐throughput compositional data1
ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression1
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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Optimization of ultrasonic‐assisted extraction and purification of flavonoids with biological activities from Ficus Pumila L.1
Principal balances of compositional data for regression and classification using partial least squares1
A systematic study on the effect of different error structures on pseudo‐univariate and multivariate figures of merit1
Automatic hierarchical model builder1
Dedicated to Edmund R. Malinowski. Secondary, model‐based examination of model‐free analysis results: Making the most of soft‐modelling outcomes1
A Raman spectroscopy–compositional–structural investigation of lunar surface materials and analogues1
Roadmap for outlier detection in univariate linear calibration in analytical chemistry: Tutorial review1
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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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Identifying putative key metabolites from fingerprinting metabolomics for the authentication of rice origin: A case study of Sengcu rice0
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Empirical and statistical p values and Type 1 error rates: Putting it all together0
Intelligent component detection of quaternary blended oil based on near infrared spectroscopy technology0
Multivariate classification models0
Iterative re‐weighted multilinear partial least squares modelling for robust predictive modelling0
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H‐type indices with applications in chemometrics I: h‐multiple similarity index0
Chemical identification of microfossils from the 1.88‐Ga Gunflint chert: Towards empirical biosignatures using laser ablation ionization mass spectrometer0
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A prediction model of nonclassical secreted protein based on deep learning0
Principal component regression that minimizes the sum of the squares of the relative errors: Application in multivariate calibration models0
Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry0
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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
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Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data0
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Mid‐infrared spectroscopy study of aqueous solution of ethylene glycol using chemometrics analysis and two‐dimensional correlation spectroscopy0
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Adaptive deep fusion neural network based soft sensor for industrial process0
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Method development for in situ study of marine vanadium peroxidase based on SERS and chemometrics0
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Distribution‐free predictive inference for partial least squares regression with applications to molecular descriptors datasets0
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Data‐analysis method for material optimization by forecasting long‐term chemical stability0
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The difference of model robustness assessment using cross‐validation and bootstrap methods0
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Generating realistic infrared spectra using artificial neural networks0
Structured discriminative Gaussian graph learning for multimode process monitoring0
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Introduction to Bayesian methods0
Testing differences in predictive ability: A tutorial0
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Detection storage time of mangoes after mild bruise based on hyperspectral imaging combined with deep learning0
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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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Teach Chemometrics in short course format0
Just‐in‐time latent autoregressive residual generation for dynamic process monitoring0
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Detection and prediction of active ingredients in fingerprints of traditional Chinese medicine from a high‐dimensional perspective0
Convolutional neural network for preprocessing‐free bacterial Spectra identification0
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TRICAP 2018 Angel Fire Resort, New Mexico0
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H‐type indices with applications in chemometrics II: h‐outlyingness index0
Affine combination‐based over‐sampling for imbalanced regression0
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On using kernel integration by graphical LASSO to study partial correlations between heterogeneous data sets0
Two new methods for the estimation and interpretation of the range of feasible profiles in multivariate curve resolution and their implications to analytical chemistry0
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In honour of Edmund R. Malinowski0
Response surface experimental design for simultaneous chromatographic determination of two antiviral agents “Favipiravir and Remdesivir” in pharmaceuticals and spiked plasma samples0
Toward more efficient and effective color quality control for the large‐scale offset printing process0
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