OOIR: Observatory of International Research

Papers

(The H4-Index of Chemometrics and Intelligent Laboratory Systems is 30. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A review on autoencoder based representation learning for fault detection and diagnosis in industrial processes	76
Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks	71
A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit	69
A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks	69
Comparison of zero replacement strategies for compositional data with large numbers of zeros	66
A hybrid ensemble-filter wrapper feature selection approach for medical data classification	62
A novel Covid-19 and pneumonia classification method based on F-transform	57
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia	53
iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach	52
A novel approach for water quality classification based on the integration of deep learning and feature extraction techniques	47
Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra	46
Comparison of chemometrics and AOCS official methods for predicting the shelf life of edible oil	43
Quantitative predictions from chemical read-across and their confidence measures	43
Prediction of f-CaO content in cement clinker: A novel prediction method based on LightGBM and Bayesian optimization	42
Investigation of transfer learning for image classification and impact on training sample size	41
Partial least trimmed squares regression	41
QSAR study of unsymmetrical aromatic disulfides as potent avian SARS-CoV main protease inhibitors using quantum chemical descriptors and statistical methods	41
Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios	41
Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits	40
Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression	40
Quantum chemical descriptors in quantitative structure–activity relationship models and their applications	39
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach	38
ACP-2DCNN: Deep learning-based model for improving prediction of anticancer peptides using two-dimensional convolutional neural network	36
2-hydr_Ensemble: Lysine 2-hydroxyisobutyrylation identification with ensemble method	35
Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites	35

Efficient tools for principal component analysis of complex data— a tutorial	35
Online detection of soluble solids content and maturity of tomatoes using Vis/NIR full transmittance spectra	34
Feature selection based on a crow search algorithm for big data classification	33
Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages	31
Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters	31