Journal of Chemometrics

Papers
(The TQCC of Journal of Chemometrics is 3. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Chemometrics: A Vital Implement for Understanding the Water Structures by Near‐Infrared Spectroscopy30
Partial Least Squares Scores29
Comprehensive Anomaly Score Rank Based Unsupervised Sample Selection Method22
Data point importance: Information ranking in multivariate data19
Minimum Spanning Tree‐Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data18
Determination of metal contents in aromatic herbs and spices from Algeria: Chemometric approach18
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 Monitoring17
From Wet Chemistry to Portable NIR: Robust High‐Throughput Compositional Models for Biomass Pretreatment16
The difference of model robustness assessment using cross‐validation and bootstrap methods15
Estimating Maize Canopy Nitrogen and Chlorophyll Content Using CNN‐GRU‐CBAM and Hyperspectral Imagery15
De Novo Design of HIV‐1 Integrase‐LEDGF/p75 Inhibitors Through Deep Reinforcement Learning and Virtual Screening14
A novel two‐phase near‐infrared and midinfrared wavelength selection framework for sample classification13
Augmenting Near‐Infrared Spectral Data With Auxiliary Regression Generative Adversarial Network for Enhanced Prediction of Watermelon Soluble Solids Content13
In‐Situ Detection of Microplastic Particles on Food Using Hyperspectral Imaging With One‐Dimensional Convolutional Neural Network and Artificial Neural Network13
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Principal Component Analysis: Standardisation10
Alternative weighting schemes for fine‐tuned extended similarity indices10
Detection of talcum powder content in wheat flour by near infrared spectroscopy based on multilevel feature selection10
Assessment of Conformal Prediction and Standard Normal Distribution for Autonomous Consensus One‐Class Classification9
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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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Ginseng Seed Variety Identification Based on Hyperspectral Imaging Technology and Transfer Learning9
Malt quality profile of barley predicted by near‐infrared spectroscopy using partial least squares, Bayesian regression, and artificial neural network models9
Multi‐Block Chemometric Approaches to the Unsupervised Spectral Characterization of Geological Samples9
ATR‐FTIR spectroscopy and chemometric complexity: unfolding the intra‐skeleton variability8
Correlation‐Weighted Dynamic Feature Fusion for Multiblock Regression (CW‐DFF‐MBR): A Generalized Framework for Advanced Chemometric Modelling8
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 F8
Planetary and space science special issue8
Characterising the Effect of Cultivar and Roasting Temperature on FT‐NIR Spectral Data of Wheat Using ASCA8
Multimodal Stacked Modeling for Simultaneous Detection of Nutrient Concentrations With Turbidity Correction8
Robust Multiplicative Scatter Correction Using Quantile Regression8
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Optimization total phenolic content and antioxidant activity of Saccocalyx satureioides extracts obtained by ultrasonic‐assisted extraction8
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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 Molecules7
A data‐driven soft sensor based on weighted probabilistic slow feature analysis for nonlinear dynamic chemical processes7
Why Is the Peak Group Analysis So Effective for IR Spectra Analysis?7
Application of an ECAM‐ConvNeXt Model With Multichannel Spectrogram Based on Vis–NIR for Soil Property Prediction7
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Fast Partition‐Based Cross‐Validation With Centering and Scaling for XTX$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{X} $$ and XTY$$ {\mathbf{X}}^{\mathbf{T}}\mathbf{Y} $$7
Chemometrics as a tool for monitoring corrosion degradation of the selected alloys in real conditions7
Being Aware of Data Leakage and Cross‐Validation Scaling in Chemometric Model Validation7
Two‐step hybrid modeling for variable selection and estimation: An application to quantitative structure activity relationship study7
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Three‐Way Data Reduction Based on Essential Information7
Spectral Wavelength Selection Method Based on Improved Particle Swarm Optimization Idea and Simulated Annealing Strategy7
Utilization of ultraviolet‐visible spectrophotometry in conjunction with wrapper method and correlated component regression for nitrite prediction outside the Beer–Lambert domain7
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Chemometrics Study to Understand the Interaction of Starch–Protein Mixtures and Food Texture6
Resampling as a Robust Measure of Model Complexity in PARAFAC Models6
Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm6
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Efficient Wavelength Selection for Limited Near‐Infrared Spectral Data via Genetic Algorithm and Hybrid Regression6
XR and Hybrid Data Visualization Spaces for Enhanced Data Analytics6
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Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis6
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Characterisation of Position‐Dependant Ripening Dynamics of Nectarines Using Near‐Infrared Spectroscopy and ASCA5
Detection of skin defects in loquats based on grayscale features combined with reflectance, absorbance, and Kubelka–Munk spectra5
A reliable algorithm for calculating stoichiometry parameters in the hard modeling of spectrophotometric titration data5
A synthetic review of some recent extensions of ComDim5
Origin of the OECD Principles for QSAR Validation and Their Role in Changing the QSAR Paradigm Worldwide: An Historical Overview5
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Cell Culture Media and Raman Spectra Preprocessing Procedures Impact Glucose Chemometrics5
A Novel One‐Class Convolutional Autoencoder Combined With Excitation–Emission Matrix Fluorescence Spectroscopy for Authenticity Identification of Food5
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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
Feature Variable Selection for Near‐Infrared Spectroscopy Based on Simulated Annealing Bee Colony Algorithm5
Support Vector Machine Ensemble for Crude Oil Classification5
Can One Recover the Underlying Spectral Data Matrix From a Given Borgen Plot?4
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Accurate and Rational Collision Cross Section Prediction Using Voxel‐Projected Area and Deep Learning4
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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 models4
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Quantitative Structure–Activity Relationship Modeling Based on Improving Kernel Ridge Regression4
Introduction to statistical, algorithmic and theoretical basis of principal components analysis4
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Multifactorial 1, 3, 4‐Oxadiazole Derivatives as Cholinesterase and Glycogen Synthase Kinase‐3 β Inhibitors for Targeting Alzheimer's Disease: QSAR‐Based4
Past, Present and Future of Research in Analytical Figures of Merit4
Extended Multiplicative Signal Correction of Noisy Raman Spectra4
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XAI‐2DCOS: Enhancing Interpretability in Spectral Deep Learning Models Through 2D Correlation Spectroscopy4
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limpca: An R package for the linear modeling of high‐dimensional designed data based on ASCA/APCA family of methods3
An antioxidative potential‐based comparison of different peanut extraction methods, optimized through response surface methodology3
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Expanding the Chemometric Data Analysis Toolbox With Immersive Analytics3
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Application of chemometrics on Raman spectra from Mars: Recent advances and future perspectives3
Smart Monitoring Solutions for Real‐Time Water pH Regulation in Aquatic Ecotoxicology3
On a black hole effect in bilinear curve resolution based on least squares3
Developing Digital Twin Visualizations: A Methodology and Case Study on Chemical Separation Processing3
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Unlocking New Capabilities in the Analysis of GC × GC‐TOFMS Data With Shift‐Invariant Multi‐Linearity3
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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Supporting Process Analytical Technology in Pharmaceutical Manufacturing With Lean Chemometrics3
Image‐based characterization of flocculation processes through PLS inspired representation learning in convolutional neural networks3
Iterative re‐weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)3
Novel Sexalinear Decomposition Algorithm for Analyzing the Chemical Sexalinear Data Array3
Next‐Gen Crop Monitoring: MTEG‐RTU Algorithm and UAV Synergy for Precise Disease Diagnosis3
Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis3
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Partial least squares regression with multiple domains3
Volatile Gas Detection Based on Electronic Nose Combined With a Feature Complementary Calculation Network to Identify the Adulterated Peanuts3
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Automatic peak annotation and area estimation of glycan map peaks directly from chromatograms3
ASER: Adapted squared error relevance for rare cases prediction in imbalanced regression3
Deep Information Retention Network‐Enabled Data Modeling for Key Quality Indicator Prediction in the Chemical Industry3
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