Journal of Near Infrared Spectroscopy

Papers
(The TQCC of Journal of Near Infrared Spectroscopy 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 2021-03-01 to 2025-03-01.)
ArticleCitations
Near infrared spectroscopy for blend uniformity monitoring: An innovative qualitative application based on the coefficient of determination36
Discrimination of Gonipterini weevil genera using near infrared spectroscopy24
A chemometric method for the viability analysis of spinach seeds by near infrared spectroscopy with variable selection using successive projections algorithm21
Nutritional labelling of food products purchased from online retail outlets: screening of compliance with European Union tolerance limits by near infrared spectroscopy13
Fraud detection in the fishing sector using hyperspectral imaging13
Rapid identification of the storage age of dried tangerine peel using a hand-held near infrared spectrometer and machine learning12
Review: The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks11
On-site rapid detection of aging of Pericarpium Citri Reticulatae using multispectral imaging10
Pedometric tools for classification of southwestern Amazonian soils: A quali-quantitative interpretation incorporating visible-near infrared spectroscopy10
Cellulose crystalline structure and thermal properties under heat treatment: An investigation by two-dimensional correlation of near infrared spectroscopy and differential scanning calorimetry10
Unbiased prediction errors for partial least squares regression models: Choosing a representative error estimator for process monitoring9
Design of a miniaturized frequency domain near infrared spectrometer with validation in solid phantoms and human tissue9
Non-destructive detection of chilling injury in kiwifruit using a dual-laser scanning system with a principal component analysis - back propagation neural network8
Review of standards for near infrared spectroscopy methods8
Single kernel sorting of high and normal oleic acid peanuts using near infrared spectroscopy8
Non-destructive evaluation of strength and stiffness of Eucalyptus pellita. A comparison of near infrared spectroscopy and acoustic wave velocity assessment8
Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry7
Investigating partial least squares discriminant analysis and hierarchical modelling of short wave infrared hyperspectral imaging data to distinguish production area and quality of rooibos (Aspalat7
Classification of Listeria species using near infrared hyperspectral imaging7
A method to standardize the temperature for near infrared spectra of the indigo pigment in non-dairy cream based on symbolic regression7
Near infrared spectroscopy for the identification of live anurans: Towards rapid and automated identification of species in the field6
Aging of polypropylene probed by near infrared spectroscopy6
Quantitative and qualitative prediction of sulfur content in diesel by near infrared spectroscopy6
Developing near infrared spectroscopy models for predicting chemistry and responses to stress in Pinus radiata (D. Don)6
On-line identification of silkworm pupae gender by short-wavelength near infrared spectroscopy and pattern recognition technology5
A fast and low-cost approach to quality control of alcohol-based hand sanitizer using a portable near infrared spectrometer and chemometrics5
Detecting the temporal trend of cultivated soil organic carbon content using visible near infrared spectroscopy4
Investigation of Fusarium damage in wheat using hyperspectral imaging: An independent component analysis approach4
Performance of near infrared spectroscopy of a solid cattle and poultry manure database depends on the sample preparation and regression method used4
Near infrared spectroscopy calibration strategies to predict multiple nutritional parameters of pasture species from different functional groups4
Near infrared spectroscopy coupled chemometric algorithms for prediction of the antioxidant activity of peanut seed (Arachis hypogaea)4
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