Chemometrics and Intelligent Laboratory Systems

Papers
(The median citation count of Chemometrics and Intelligent Laboratory Systems is 4. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Editorial Board197
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users104
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation89
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy82
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer76
On designing robust and efficient CUSUM chart for mean monitoring: An application in chemical engineering for polymerization reactors73
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning73
Bayesian optimization for interval selection in PLS models61
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning61
Editorial Board57
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology57
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)54
Applicability domain of a calibration model based on neural networks and infrared spectroscopy51
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance42
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes41
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)38
Application of DebNet combined with fluorescence spectroscopy for rapid multi-pesticide residue classification38
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges37
An unsupervised gene selection method based on multivariate normalized mutual information of genes35
A review on sample subset selection methods for multivariate modelling35
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model33
RKPCA-based approach for fault detection in large scale systems using variogram method33
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures32
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models32
Joint state and process inputs estimation for state-space models with Student’s t-distribution29
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems29
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes28
Multi-objective feature selection algorithm using Beluga Whale Optimization27
Identification and quantification of ciprofloxacin, enrofloxacin and difloxacin residues in milk using excitation-emission fluorescence and second-order standard addition methods27
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog27
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows27
An analytical approach based on excitation-emission fluorescence spectroscopy and chemometrics for the screening of prostate cancer through urine analysis: A proof–of–concept study26
Self-attention based Difference Long Short-Term Memory Network for Industrial Data-driven Modeling26
Prediction model for multiblock data with or without intermediate blocks. Estimation by PLS Path Modeling26
BO-densenet: A bilinear one-dimensional densenet network based on multi-scale feature fusion for wood NIR classification26
MFRAG: Multi-Fitness RankAggreg Genetic Algorithm for biomarker selection from microarray data26
BGA-YOLOX-s: Real-time fine-grained detection of silkworm cocoon defects with a ghost convolution module and a joint multiscale fusion attention mechanism26
Extension and significance testing of Variable Importance in Projection (VIP) indices in Partial Least Squares regression and Principal Components Analysis25
A piecewise mirror extension local mean decomposition method for denoising of near-infrared spectra with uneven noise25
Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy25
Heterogeneous ensemble learning applied to UV-VIS identification of multi-class pesticides by high-performance liquid chromatography with diode array detector (HPLC/DAD)25
Extracting information from sensory analysis with the multi-way PARAFAC tool – Examples and possibilities25
User-independent nonlinear modeling using adjusted spline-interpolated knots (UNMASK) and indirect hard modeling for deriving compositions from spectra with background signals25
Resolution enhancement of angular plasmonic biochemical sensors via optimizing centroid algorithm24
Exploring the scores: Procrustes analysis for comprehensive exploration of multivariate data24
Domain invariant covariate selection (Di-CovSel) for selecting generalized features across domains24
Why matrix-decomposition of overlapped light spectroscopic features leads to overfitting in certain cases ?23
Sequential multiblock partial least squares discriminant analysis for assessing prostate cancer aggressiveness with multiparametric magnetic resonance imaging23
How the experimental design associated with objectivized sensory analysis can be used to predict odor quality of gaseous mixtures?22
Extraction of soil nutrient information from visible and near-infrared signals using deep learning models21
Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red21
Transductive transfer broad learning for cross-domain information exploration and multigrade soft sensor application21
Mechanism- and data-driven based dynamic hybrid modeling for multi-condition processes21
Discriminating the salivary profile of athletes using ATR-FTIR spectroscopy and chemometrics21
Experimental-based groundwater salinization from the carbonate aquifer of eastern Saudi Arabia: Insight into machine learning coupled with meta-heuristic algorithms21
UV spectroscopy as a quantitative monitoring tool in a dairy side-stream fractionation process21
Just-in-time process soft sensor with spatiotemporal graph decoupled learning21
A bidirectional dictionary LASSO regression method for online water quality detection in wastewater treatment plants20
Optimization of caper bud drying using the DT_LSBOOST model: A predictive approach to improve quality and efficiency20
Chemometrics web app part 1: Data handling20
Investigation of long-term stability of a transmission Raman calibration model using orthogonal projection methods20
Field-deployable real-time AI System for chemical warfare agent detection using YOLOv8 and colorimetric sensors20
Developing a novel and intelligent chemometrics-assisted molecularly imprinted electrochemical sensor: Application to the improvement of the efficiency of the treatment of Parkinson's disease20
An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences19
Editorial Board19
Editorial Board19
Editorial Board19
Multi-resolution transmission image registration based on “Terrace Compression Method” and normalized mutual information19
Editorial Board19
Optimal sample plans for multiresponse and multisubject experiments19
A combination of gas detection system and adaptive deep learning network (GFC-Net) to identify different production batches of beer18
Quality-driven divisive K-Means: A new clustering strategy for MALDI imaging data for a more precise and less biased characterization of complex biological tissues18
An automated preprocessing framework for near infrared spectroscopic data18
A novel multisensory quality index of a food product: An analysis of a sausage properties18
Urban river ammonia nitrogen prediction model based on improved whale optimization support vector regression mixed synchronous compression wavelet transform17
A novel approach to combine spatial and spectral information from hyperspectral images17
An accurate prediction of drug–drug interactions and side effects by using integrated convolutional and BiLSTM networks17
Comprehensive evaluation and systematic comparison of Gaussian process (GP) modelling applications in peptide quantitative structure-activity relationship17
Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters17
An effective MW-PCP-based intermittent fault detection method via sparse matrix factorization and noise reduction17
FT-NIR combined with multiple intelligent algorithms for rapid identification and quantitative analysis of Iron Mineral Decoction Pieces16
Application of linear and nonlinear pattern recognition techniques for discrimination of fluoroquinolones using modified AgNPs-based colorimetric sensor array16
Advancing chemical manufacturing processes through data-driven approaches: A survey16
Automatic neural network hyperparameter optimization for extrapolation: Lessons learned from visible and near-infrared spectroscopy of mango fruit16
An unsupervised domain adaptation regression method in kernel partial least squares subspace embedded with joint statistical and manifold alignment for Fourier-transform infrared spectroscopy in agri-16
A new hybrid feature selection based on Improved Equilibrium Optimization16
Statistical estimation of mean Lorentzian line width in spectra by Gaussian processes16
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning16
On the factor ambiguity of MCR problems for blockwise incomplete data sets16
Algae content prediction based on transfer learning and mean impact value16
Investigating oral biofluid markers as a tool for the chemometric discrimination of different physical exercise intensities utilizing ATR-FTIR spectroscopy15
An attention-based deep convolutional neural network for classification and grading of interferents in serum specimens15
High-speed processing of hyperspectral images for enabling demanding industrial applications15
Exploring applications of electron ionization mass spectrometry in dense embedding space15
Optimum design for ill-conditioned models: K–optimality and stable parameterizations15
Gradient Boosted Tree model: A fast track tool for predicting the Atmospheric Pressure Chemical Ionization-Mass Spectrometry signal of antipsychotics based on molecular features and experimental setti15
Assessing the resilience of optimal solutions in multiobjective problems15
Appropriate use of chemometrics for feasibility study for developing low-cost filter-based multi-parameter detection spectroscopic device for meat proximate analysis15
LTFM: Long-tail few-shot module with loose coupling strategy for mineral spectral identification15
Development of eco-efficient limestone calcined clay cement (LC3) mortars by a multi-step experimental design14
Ganoderma boninense classification based on near-infrared spectral data using machine learning techniques14
Uncertainty of predictions in absorption spectroscopy: Modelling with quantile regression forest14
Considerations for missing data, outliers and transformations in permutation testing for ANOVA with multivariate responses14
PLS class modelling using error correction output code matrices, entropy and NIR spectroscopy to detect deficiencies in pastry doughs14
Improved swarm intelligence algorithms with time-varying modified Sigmoid transfer function for Amphetamine-type stimulants drug classification14
A sensitive efficient multiple predictable feature extraction and fusion method for complicated industrial fault detection14
Editorial Board13
Design the arbitrary order calculus operator by a simulated hyperbolic function for analytical applications13
Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation13
An intelligent feature selection method using binary teaching-learning based optimization algorithm and ANN13
Editorial Board13
A new type of robust designs for chemometrics and computer experiments13
VAE-SIMCA — Data-driven method for building one class classifiers with variational autoencoders13
Application of iterative distance correlation and PLS for wavelength interval selection in near infrared spectroscopy13
Does the fish rot from the head? Hyperspectral imaging and machine learning for the evaluation of fish freshness13
A unifying framework for modelling non-negative bi-linear, tri-linear and “in-between” data in chemometrics. Part I: Theoretical framework and concepts13
Editorial Board13
Design of Poly(lactic-co-glycolic acid) nanoparticles in drug delivery by artificial intelligence methods to find the conditions of nanoparticles synthesis13
A combined classification modeling strategy for detection and identification of extra virgin olive oil adulteration using Raman spectroscopy13
PLS multi-step regressions in data paths13
A new data processing strategy combined with a convolutional neural network for rapid and accurate prediction of geographical classifications of natural products12
Enhancing one-class classification performance through variable selection: A review based on advanced literature search approaches12
Chemometrics driven portable Vis-SWNIR spectrophotometer for non-destructive quality evaluation of raw tomatoes12
State-of-the-art review on applications of various machine learning models in biodiesel production12
A novel soft sensor approach for industrial quality prediction based TCN with spatial and temporal attention12
Full-spectrum LIBS quantitative analysis based on heterogeneous ensemble learning model12
A spectrum denoising method based on low-rank recovery dictionary learning with its application to chemical oxygen demand detection12
Automatic non-destructive estimation of polyphenol oxidase and peroxidase enzyme activity levels in three bell pepper varieties by Vis/NIR spectroscopy imaging data based on machine learning methods12
Instrumental prediction of in vivo sensory properties of emollients to allow the development of new biobased ingredients12
Weighted LASSO variable selection for the analysis of FTIR spectra applied to the prediction of engine oil degradation12
Supervised and penalized baseline correction12
Modeling and statistical analysis of cancer drugs using M-polynomial indices for their characteristics12
Coal origin identification based on visible-infrared spectroscopy and attention networks12
The application of positive matrix factorization with diagnostics to BIG DATA12
Multivariate curve resolution of incomplete and partly trilinear multiblock datasets11
Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease11
Multiple features fusion and mixup with conditional decoder for spectral open-set recognition11
Designing bulk metallic glasses materials with higher reduced glass transition temperature via machine learning11
On-the-fly spectral unmixing based on Kalman filtering11
HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction11
An intelligent biosensing procedure based on three-way calibrations and generation of second-order hydrodynamic square wave voltammetric data for detection of DNA damage and simultaneous biosensing of11
Gaussian Processes for radiation dose prediction in nuclear power plant reactors11
Selection of reference samples for updating multivariate calibration models used in the analysis of pig faeces11
The development of nano-QSPR models for viscosity of nanofluids using the index of ideality of correlation and the correlation intensity index11
Distortion prediction model considering process types in film manufacturing process and identification of critical process variables11
Virtual biopsies for breast cancer using MCR-ALS perfusion-based biomarkers and double cross-validation PLS-DA11
Federated auto-encoder and XGBoost schemes for multi-omics cancer detection in distributed fog computing paradigm11
A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks10
Advancing QSAR models in drug discovery for best practices, theoretical foundations, and applications in targeting nuclear factor-κB inhibitors- A bright future in pharmaceutical chemistry10
Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings10
SigmaCCS2: Collision cross section prediction using molecular topological and geometric information with graph neural network10
A novel non-integer order Savitzky–Golay derivative function of visible and near-infrared spectra for improving prediction accuracy of phosphorus in pig manure10
plug im ! software for comprehensive two-dimensional gas chromatography with vacuum ultraviolet detection – A tutorial10
A multi-level fine-tuned deep learning based approach for binary classification of diabetic retinopathy10
Editorial Board10
Logical analysis of sample pooling for qualitative analytical testing10
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia10
New structure-based models for the prediction of flash point and autoignition temperatures of alkyl esters10
Variable selection and inference strategies for multiple compositional regression10
Multivariate calibration strategies for the simultaneous quantification of aluminium and vanadium in Ti6Al4V alloys10
A note on neighborhood first Zagreb energy and its significance as a molecular descriptor10
AQbD approach for the development of an analytical procedure for the separation of cephalosporin drugs and their degradation products10
Stacking ensemble learning algorithm based rapid inverse modelling of copper grade using imaging spectral data10
New breast cancer biomarkers from diffusion magnetic resonance imaging based on the Diffusion Tensor using multivariate curve resolution (MCR) models10
Mixture Gaussian process model with Gaussian mixture distribution for big data10
A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-210
GAINET: Enhancing drug–drug interaction predictions through graph neural networks and attention mechanisms10
Smart chemometrics spectrophotometry for rapid simultaneous quantitative determination of paracetamol, diphenhydramine, and phenylephrine in commercial tablet compared to high-performance liquid chrom10
Fused LassoNet: Sequential feature selection for spectral data with neural networks10
MaskDNA-PGD: An innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method10
A novel bidirectional DiPLS based LSTM algorithm and its application in industrial process time series prediction10
Editorial Board10
Bioelectrochemical metric based on developing a novel and intelligent chemometrics-assisted electrochemical biosensor for multi-enzymatic biosensing of creatinine10
Data acquisition and data analysis in colorimetric sensor arrays9
Interpretation of high dimensional definitive screening designs assisted by bootstrapped partial least squares regression9
Toward effective SVM sample reduction based on fuzzy membership functions9
Identifying 124 new anti-HIV drug candidates in a 37 billion-compound database: An integrated approach of machine learning (QSAR), molecular docking, and molecular dynamics simulation9
Deep Tutti Frutti: Exploring CNN architectures for dry matter prediction in fruit from multi-fruit near-infrared spectra9
Looking for a hyper polyhedron within the multidimensional space of Design Space from the results of Designs of Experiments9
Likelihood ratio-based probabilistic classifier9
Editorial Board9
Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders9
A unified multispectral multitasking network with synchronous qualitative and quantitative analysis9
SCPD: Splitting-based constrained parallel factor decomposition for fluorescence spectroscopy analysis9
A rapid automatic spectroscopic identification method of environmental microplastics9
Prediction of viral-host interactions of COVID-19 by computational methods9
MacroPARAFAC for handling rowwise and cellwise outliers in incomplete multiway data9
Moisture content prediction in durian husk biomass via near infrared spectroscopy coupled with aquaphotomics and explainable machine learning9
Multiscale transfer learning improves soil calcium carbonate equivalent measurement in data-limited regions using Vis-NIR spectroscopy9
Temperature modeling of wave rotor refrigeration process based on elastic net variable selection and deep belief network9
An alternative point of view on PLS9
Modeling in the observable or latent space? A comparison of dynamic latent variable based monitoring methods for sensor fault detection9
Editorial Board9
Incipient fault detection for dynamic processes with canonical variate residual statistics analysis9
A flame image soft sensor for oxygen content prediction based on denoising diffusion probabilistic model9
Effective prediction of drug – target interaction on HIV using deep graph neural networks9
Investigation on different strategies of significance testing in ANOVA-simultaneous component analysis (ASCA)9
Editorial Board9
Application of multi-omics fusion technique based on Raman spectroscopy and metabolomics in early diagnosis and activity prediction of systemic lupus erythematosus9
Insights into the influence of matrix fragments on FT-IR-based meat and bone meal species-specific analysis9
Pollution parameters evaluation of wastewater collected at different treatment stages from wastewater treatment plant based on E-nose and E-tongue systems combined with chemometric techniques9
Hybrid factors latent Gaussian process modeling with wasserstein distance for soft sensing of extruder processes9
A novel machine-learning approach to unlock technical lignin classification by NIR spectroscopy - bench to handheld8
Classifying COVID-19 based on amino acids encoding with machine learning algorithms8
A novel multivariate curve resolution based strategy for multi-omic integration of toxicological data8
Normalization approaches for extracellular vesicle-derived lipidomic fingerprints – A human milk case study8
Quantification of miRNAs by mass spectrometry based on DNase I-assisted amplification with the aid of a chemometric model8
Combination of machine learning and COSMO-RS thermodynamic model in predicting solubility parameters of coformers in production of cocrystals for enhanced drug solubility8
Aging prediction in single based propellants using hybrid strategy of machine learning and genetic algorithm8
Multi-task learning for energy consumption forecasting of methyl chlorosilanes fractional distillation process8
( 8
Evaluation of the potential of near infrared hyperspectral imaging for monitoring the invasive brown marmorated stink bug8
A novel second-order calibration algorithm for processing fluorescence data with scattering: Three-direction resection ATLD8
Optimization of pre-processing and data fusion strategies for multi-block spectroscopic characterization of cellular growth phases in the chlorophyte, Tetraselmis suecica8
Quantitative analysis of soil cadmium content based on the fusion of XRF and Vis-NIR data8
Editorial Board8
A sparse fused group lasso regression model for fourier-transform infrared spectroscopic data with application to purity prediction in olive oil blends8
An enhanced IWCARS method for measuring soil available potassium8
A scalable, data analytics workflow for image-based morphological profiles8
Applications of artificial intelligence and machine learning in combination with surface-enhanced Raman spectroscopy (SERS)8
A regularised logistic regression model with structured features for classification of geographical origin in olive oils8
The effect of alternating fragmentor voltages of LC-MS in full scan mode on data quality: A comparative study8
Model-level Weight Update Domain Adaptive Dynamic CNN Soft Sensor for Free Calcium Ion Concentration in Cement Clinker8
Neural reinforcement-oriented hyperspectral image compression: Adaptive approaches for enhanced quality8
Addressing adulteration challenges of dried oregano leaves by NIR HyperSpectral Imaging8
On problematic practice of using normalization in self-modeling/multivariate curve resolution (S/MCR)8
MA-XRF datasets analysis based on convolutional neural network: A case study on religious panel paintings8
Editorial Board8
Comparing data driven soft independent class analogy (DD-SIMCA) and one class partial least square (OC-PLS) to authenticate sacha inchi (Plukenetia volubilis L.) oil using portable NIR spectrometer8
Temporal graph convolutional network soft sensor for molecular weight distribution prediction8
A generation of synthetic samples and artificial outliers via principal component analysis and evaluation of predictive capability in binary classification models8
Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem8
Editorial Board7
Functionality of rotational ambiguity in self-modeling methods to signal contribution of chemical components7
What is to be gained by ensemble models in analysis of spectroscopic data?7
Enhancing tomato leaf nitrogen analysis through portable NIR spectrometers combined with machine learning and chemometrics7
Chemometric modeling of the adsorption mechanism of Cu(II) in aqueous solution onto functionalized materials: Integrating artificial neural networks and porous structure characterization7
Improved state estimator for linear-Gaussian systems subject to initialization errors7
End-point determination of the extraction processes for Stevia rebaudiana Bertoni leaves by near-infrared spectroscopy7
DWUT-MLP: Classification of anticancer drug response using various feature selection and classification techniques7
Naive Bayes classification model for isotopologue detection in LC-HRMS data7
An iterative conditional variable selection method for constraint-based time series causal discovery7
Kernel-based mapping of reliability in predictions for consensus modelling7
Diagnostic development using net analyte signal for pure component modeling approaches7
Leveraging PLS and Lasso in MARS for high-dimensional FTIR data: A hybrid proposed model for antidiabetic activity of schiff base compounds7
A hybrid deep convolutional neural network-based electronic nose for pollution detection purposes7
Root cause analysis of industrial faults based on binary extreme gradient boosting and temporal causal discovery network7
Exploring the use of extended multiplicative scattering correction for near infrared spectra of wood with fungal decay7
Adjusting plant operating conditions to widen multivariate specification regions for incoming raw materials – An optimization framework7
Excitation-emission fluorescence spectroscopy and sparse chemometric methods for grape seed oil classification and authentication7
0.37135195732117