OOIR: Observatory of International Research

Papers

(The H4-Index of Chemometrics and Intelligent Laboratory Systems is 33. 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 2020-04-01 to 2024-04-01.)

Article	Citations
An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image	129
Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review	125
Prediction of nanofluids viscosity using random forest (RF) approach	80
Sequential preprocessing through ORThogonalization (SPORT) and its application to near infrared spectroscopy	66
iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach	66
A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit	62
Soft sensor model for dynamic processes based on multichannel convolutional neural network	61
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks	59
Modeling pseudo-second-order kinetics of orange peel-paracetamol adsorption process using artificial neural network	58
A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks	53
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes	53
A novel Covid-19 and pneumonia classification method based on F-transform	52
A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves	51
Comparison of zero replacement strategies for compositional data with large numbers of zeros	50
A hybrid ensemble-filter wrapper feature selection approach for medical data classification	49
CORAL: QSAR models of CB1 cannabinoid receptor inhibitors based on local and global SMILES attributes with the index of ideality of correlation and the correlation contradiction index	46
A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes	44
Noise reduction in the spectral domain of hyperspectral images using denoising autoencoder methods	41
QSAR study of unsymmetrical aromatic disulfides as potent avian SARS-CoV main protease inhibitors using quantum chemical descriptors and statistical methods	39
iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach	39
New reduced kernel PCA for fault detection and diagnosis in cement rotary kiln	38
DNNAce: Prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion	38
Investigating the need for preprocessing of near-infrared spectroscopic data as a function of sample size	38
Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios	38
PLS-DA – A MATLAB GUI tool for hard and soft approaches to partial least squares discriminant analysis	37

Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia	37
MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing	36
Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression	35
Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra	35
Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites	35
2-hydr_Ensemble: Lysine 2-hydroxyisobutyrylation identification with ensemble method	34
Comparison of chemometrics and AOCS official methods for predicting the shelf life of edible oil	34
Investigation of transfer learning for image classification and impact on training sample size	33
Partial least trimmed squares regression	33
Feature selection based on chaotic binary black hole algorithm for data classification	33