Chemometrics and Intelligent Laboratory Systems

Papers
(The TQCC of Chemometrics and Intelligent Laboratory Systems is 9. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board219
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning105
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation87
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy81
Editorial Board63
Applicability domain of a calibration model based on neural networks and infrared spectroscopy60
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning57
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog48
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)46
When just-in-time learning meets deep learning: An industrial quality prediction practice on deep partial least squares model42
On designing robust and efficient CUSUM chart for mean monitoring: An application in chemical engineering for polymerization reactors41
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users37
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models37
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems36
RKPCA-based approach for fault detection in large scale systems using variogram method36
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology35
MGD-CNN: An end-to-end convolutional neural network model for collaborative preprocessing of Raman spectra35
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)34
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer34
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes33
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges32
Bayesian optimization for interval selection in PLS models31
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures31
Integrating experimental data and machine learning for enhanced modeling of diclofenac release from calcium alginate–gum arabic microcapsules30
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance29
Joint state and process inputs estimation for state-space models with Student’s t-distribution29
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes29
Application of DebNet combined with fluorescence spectroscopy for rapid multi-pesticide residue classification29
A graph-based soft sensor using feature expansion and multi-hop attention for melt index prediction28
Moisture monitoring in fluidized bed drying of Cassia Twig granules: A TCN–GRU approach with near-infrared spectroscopy-assisted label expansion28
Heterogeneous ensemble learning applied to UV-VIS identification of multi-class pesticides by high-performance liquid chromatography with diode array detector (HPLC/DAD)28
An analytical approach based on excitation-emission fluorescence spectroscopy and chemometrics for the screening of prostate cancer through urine analysis: A proof–of–concept study28
Identification and quantification of ciprofloxacin, enrofloxacin and difloxacin residues in milk using excitation-emission fluorescence and second-order standard addition methods28
A review on sample subset selection methods for multivariate modelling28
Extracting information from sensory analysis with the multi-way PARAFAC tool – Examples and possibilities26
Multi-objective feature selection algorithm using Beluga Whale Optimization26
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows26
User-independent nonlinear modeling using adjusted spline-interpolated knots (UNMASK) and indirect hard modeling for deriving compositions from spectra with background signals25
Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy25
Prediction model for multiblock data with or without intermediate blocks. Estimation by PLS Path Modeling25
BGA-YOLOX-s: Real-time fine-grained detection of silkworm cocoon defects with a ghost convolution module and a joint multiscale fusion attention mechanism25
MFRAG: Multi-Fitness RankAggreg Genetic Algorithm for biomarker selection from microarray data25
BO-densenet: A bilinear one-dimensional densenet network based on multi-scale feature fusion for wood NIR classification24
A piecewise mirror extension local mean decomposition method for denoising of near-infrared spectra with uneven noise24
Extension and significance testing of Variable Importance in Projection (VIP) indices in Partial Least Squares regression and Principal Components Analysis24
Optimization of caper bud drying using the DT_LSBOOST model: A predictive approach to improve quality and efficiency23
Erratum to “Continual learning-enabled probabilistic PLS for adaptive multimode quality-related process monitoring” [Chemometr. Intellig. Lab. Syst. 274 (2026) 105732]23
Sequential multiblock partial least squares discriminant analysis for assessing prostate cancer aggressiveness with multiparametric magnetic resonance imaging23
Self-attention based Difference Long Short-Term Memory Network for Industrial Data-driven Modeling23
How the experimental design associated with objectivized sensory analysis can be used to predict odor quality of gaseous mixtures?23
Chemometrics web app part 1: Data handling22
Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red22
Developing a novel and intelligent chemometrics-assisted molecularly imprinted electrochemical sensor: Application to the improvement of the efficiency of the treatment of Parkinson's disease22
Discriminating the salivary profile of athletes using ATR-FTIR spectroscopy and chemometrics22
Extraction of soil nutrient information from visible and near-infrared signals using deep learning models21
Field-deployable real-time AI System for chemical warfare agent detection using YOLOv8 and colorimetric sensors21
Why matrix-decomposition of overlapped light spectroscopic features leads to overfitting in certain cases ?21
Investigation of long-term stability of a transmission Raman calibration model using orthogonal projection methods21
Mechanism- and data-driven based dynamic hybrid modeling for multi-condition processes21
Optimal sample plans for multiresponse and multisubject experiments20
Transductive transfer broad learning for cross-domain information exploration and multigrade soft sensor application20
Exploring the scores: Procrustes analysis for comprehensive exploration of multivariate data20
Just-in-time process soft sensor with spatiotemporal graph decoupled learning20
Cardiotoxicity prediction of compounds based on multi-graph and multi-dimensional representations19
Experimental-based groundwater salinization from the carbonate aquifer of eastern Saudi Arabia: Insight into machine learning coupled with meta-heuristic algorithms19
UV spectroscopy as a quantitative monitoring tool in a dairy side-stream fractionation process19
A bidirectional dictionary LASSO regression method for online water quality detection in wastewater treatment plants19
Editorial Board19
A new hybrid feature selection based on Improved Equilibrium Optimization18
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
Comprehensive evaluation and systematic comparison of Gaussian process (GP) modelling applications in peptide quantitative structure-activity relationship18
An effective MW-PCP-based intermittent fault detection method via sparse matrix factorization and noise reduction18
A novel approach to combine spatial and spectral information from hyperspectral images18
Application of linear and nonlinear pattern recognition techniques for discrimination of fluoroquinolones using modified AgNPs-based colorimetric sensor array18
An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences17
Automatic neural network hyperparameter optimization for extrapolation: Lessons learned from visible and near-infrared spectroscopy of mango fruit17
Editorial Board17
On the factor ambiguity of MCR problems for blockwise incomplete data sets17
FT-NIR combined with multiple intelligent algorithms for rapid identification and quantitative analysis of Iron Mineral Decoction Pieces17
Editorial Board17
A combination of gas detection system and adaptive deep learning network (GFC-Net) to identify different production batches of beer17
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
Advancing chemical manufacturing processes through data-driven approaches: A survey16
An automated preprocessing framework for near infrared spectroscopic data16
Explainable AI for secure and accurate prediction of bacteriophage virion proteins using NLP descriptors and transformer-guided ideal proximity matrix reconstruction16
Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters16
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning16
Adaptive federated learning for slide-level biomarker prediction in breast cancer via misprediction risk analysis16
An accurate prediction of drug–drug interactions and side effects by using integrated convolutional and BiLSTM networks16
A novel multisensory quality index of a food product: An analysis of a sausage properties16
Urban river ammonia nitrogen prediction model based on improved whale optimization support vector regression mixed synchronous compression wavelet transform16
Algae content prediction based on transfer learning and mean impact value16
Statistical estimation of mean Lorentzian line width in spectra by Gaussian processes15
Optimum design for ill-conditioned models: K–optimality and stable parameterizations15
Assessing the resilience of optimal solutions in multiobjective problems15
Chemometrics in Brazil: The early days15
Does the fish rot from the head? Hyperspectral imaging and machine learning for the evaluation of fish freshness15
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
High-speed processing of hyperspectral images for enabling demanding industrial applications15
PLS multi-step regressions in data paths15
Investigating oral biofluid markers as a tool for the chemometric discrimination of different physical exercise intensities utilizing ATR-FTIR spectroscopy15
An intelligent feature selection method using binary teaching-learning based optimization algorithm and ANN15
An attention-based deep convolutional neural network for classification and grading of interferents in serum specimens15
Improved swarm intelligence algorithms with time-varying modified Sigmoid transfer function for Amphetamine-type stimulants drug classification14
VAE-SIMCA — Data-driven method for building one class classifiers with variational autoencoders14
PLS class modelling using error correction output code matrices, entropy and NIR spectroscopy to detect deficiencies in pastry doughs14
Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation14
A combined classification modeling strategy for detection and identification of extra virgin olive oil adulteration using Raman spectroscopy14
Exploring applications of electron ionization mass spectrometry in dense embedding space14
Ganoderma boninense classification based on near-infrared spectral data using machine learning techniques14
Design of Poly(lactic-co-glycolic acid) nanoparticles in drug delivery by artificial intelligence methods to find the conditions of nanoparticles synthesis14
Development of eco-efficient limestone calcined clay cement (LC3) mortars by a multi-step experimental design13
A unifying framework for modelling non-negative bi-linear, tri-linear and “in-between” data in chemometrics. Part I: Theoretical framework and concepts13
Weighted LASSO variable selection for the analysis of FTIR spectra applied to the prediction of engine oil degradation13
Enhancing one-class classification performance through variable selection: A review based on advanced literature search approaches13
Editorial Board13
A sensitive efficient multiple predictable feature extraction and fusion method for complicated industrial fault detection13
Application of iterative distance correlation and PLS for wavelength interval selection in near infrared spectroscopy13
Modeling and statistical analysis of cancer drugs using M-polynomial indices for their characteristics13
On-the-fly spectral unmixing based on Kalman filtering13
Supervised and penalized baseline correction13
Editorial Board13
Automated extraction of physical parameters from depth profiling data using the MRI model13
Considerations for missing data, outliers and transformations in permutation testing for ANOVA with multivariate responses13
Comparative evaluation of lightweight convolutional neural network and vision transformer models for multi-class brain tumor classification using merged large MRI datasets13
Designing bulk metallic glasses materials with higher reduced glass transition temperature via machine learning13
An unsupervised approach to anomaly detection in near-infrared spectroscopy via Covariance-Shrunk Slow Feature Analysis13
Coal origin identification based on visible-infrared spectroscopy and attention networks13
Gaussian Processes for radiation dose prediction in nuclear power plant reactors13
Uncertainty of predictions in absorption spectroscopy: Modelling with quantile regression forest13
State-of-the-art review on applications of various machine learning models in biodiesel production12
Multivariate curve resolution of incomplete and partly trilinear multiblock datasets12
Chemometrics driven portable Vis-SWNIR spectrophotometer for non-destructive quality evaluation of raw tomatoes12
A novel soft sensor approach for industrial quality prediction based TCN with spatial and temporal attention12
Virtual biopsies for breast cancer using MCR-ALS perfusion-based biomarkers and double cross-validation PLS-DA12
Instrumental prediction of in vivo sensory properties of emollients to allow the development of new biobased ingredients12
Full-spectrum LIBS quantitative analysis based on heterogeneous ensemble learning model12
Prediction of consolidation behavior of modified clayey soil reinforced with artificial geo-fibers using explainable artificial intelligence12
A new data processing strategy combined with a convolutional neural network for rapid and accurate prediction of geographical classifications of natural products12
Design the arbitrary order calculus operator by a simulated hyperbolic function for analytical applications12
Selection of reference samples for updating multivariate calibration models used in the analysis of pig faeces12
A spectrum denoising method based on low-rank recovery dictionary learning with its application to chemical oxygen demand detection12
Multiple features fusion and mixup with conditional decoder for spectral open-set recognition11
The application of positive matrix factorization with diagnostics to BIG DATA11
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
Research on quality evaluation system and grade classification of Angelica dahurica based on artificial intelligence and multispectral technology11
Variable selection and inference strategies for multiple compositional regression11
Smart chemometrics spectrophotometry for rapid simultaneous quantitative determination of paracetamol, diphenhydramine, and phenylephrine in commercial tablet compared to high-performance liquid chrom11
Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease11
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 methods11
New structure-based models for the prediction of flash point and autoignition temperatures of alkyl esters11
A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-211
Mixture Gaussian process model with Gaussian mixture distribution for big data11
Federated auto-encoder and XGBoost schemes for multi-omics cancer detection in distributed fog computing paradigm11
Distortion prediction model considering process types in film manufacturing process and identification of critical process variables11
HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction11
plug im ! software for comprehensive two-dimensional gas chromatography with vacuum ultraviolet detection – A tutorial11
Fused LassoNet: Sequential feature selection for spectral data with neural networks11
GAINET: Enhancing drug–drug interaction predictions through graph neural networks and attention mechanisms10
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
Stacking ensemble learning algorithm based rapid inverse modelling of copper grade using imaging spectral data10
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 hybrid variable selection with cross-domain constrained ensemble (CCE) for large-scale spectroscopic data10
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 techniques10
Logical analysis of sample pooling for qualitative analytical testing10
Beta calibration for bounded signals: A two-stage likelihood framework for analytical chemistry10
Multivariate calibration strategies for the simultaneous quantification of aluminium and vanadium in Ti6Al4V alloys10
Likelihood ratio-based probabilistic classifier10
Bioelectrochemical metric based on developing a novel and intelligent chemometrics-assisted electrochemical biosensor for multi-enzymatic biosensing of creatinine10
Incipient fault detection for dynamic processes with canonical variate residual statistics analysis10
Modeling in the observable or latent space? A comparison of dynamic latent variable based monitoring methods for sensor fault detection10
A novel bidirectional DiPLS based LSTM algorithm and its application in industrial process time series prediction10
A unified multispectral multitasking network with synchronous qualitative and quantitative analysis10
Editorial Board10
AQbD approach for the development of an analytical procedure for the separation of cephalosporin drugs and their degradation products10
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
Noise-robust contrastive ensemble learning for flotation process monitoring10
New breast cancer biomarkers from diffusion magnetic resonance imaging based on the Diffusion Tensor using multivariate curve resolution (MCR) models10
Hybrid factors latent Gaussian process modeling with wasserstein distance for soft sensing of extruder processes10
Solutions reproducibility in multiresponse optimization problems: A new desirability-based objective function10
A multi-level fine-tuned deep learning based approach for binary classification of diabetic retinopathy10
Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings10
A review of multivariate modelling for x-ray fluorescence techniques9
Editorial Board9
Application of multi-omics fusion technique based on Raman spectroscopy and metabolomics in early diagnosis and activity prediction of systemic lupus erythematosus9
Looking for a hyper polyhedron within the multidimensional space of Design Space from the results of Designs of Experiments9
SCPD: Splitting-based constrained parallel factor decomposition for fluorescence spectroscopy analysis9
Multiscale transfer learning improves soil calcium carbonate equivalent measurement in data-limited regions using Vis-NIR spectroscopy9
Textile color grading using an improved Siamese network and hyperspectral technology9
Interpretation of high dimensional definitive screening designs assisted by bootstrapped partial least squares regression9
Resolution of overlapping spectra using signal processing and multivariate calibration methods along with UV spectrophotometry for the simultaneous analysis of anticancer and nonsteroidal anti-inflamm9
Editorial Board9
Deep Tutti Frutti: Exploring CNN architectures for dry matter prediction in fruit from multi-fruit near-infrared spectra9
A flame image soft sensor for oxygen content prediction based on denoising diffusion probabilistic model9
MacroPARAFAC for handling rowwise and cellwise outliers in incomplete multiway data9
Investigation on different strategies of significance testing in ANOVA-simultaneous component analysis (ASCA)9
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
Temperature modeling of wave rotor refrigeration process based on elastic net variable selection and deep belief network9
Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders9
Editorial Board9
Toward effective SVM sample reduction based on fuzzy membership functions9
Insights into the influence of matrix fragments on FT-IR-based meat and bone meal species-specific analysis9
Data acquisition and data analysis in colorimetric sensor arrays9
Gradient boosting applied to PTR-ToF-MS analysis of agrifood samples9
Moisture content prediction in durian husk biomass via near infrared spectroscopy coupled with aquaphotomics and explainable machine learning9
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