Infrared Physics & Technology

Papers
(The H4-Index of Infrared Physics & Technology is 32. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Highly sensitive detection of ammonia based on light-induced thermoelastic spectroscopy with hollow waveguide906572041
Infrared machine vision and infrared thermography with deep learning: A review86
Hyperspectral image classification using CNN with spectral and spatial features integration70
Comparison of Vis-NIR and SWIR hyperspectral imaging for the non-destructive detection of DON levels in Fusarium head blight wheat kernels and wheat flour55
HybridCNN based hyperspectral image classification using multiscale spatiospectral features53
ISTDet: An efficient end-to-end neural network for infrared small target detection49
Modeling for SSC and firmness detection of persimmon based on NIR hyperspectral imaging by sample partitioning and variables selection49
Towards fruit maturity estimation using NIR spectroscopy48
Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning47
Thermal infrared colorization via conditional generative adversarial network45
Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom45
NIR hyperspectral imaging coupled with chemometrics for nondestructive assessment of phosphorus and potassium contents in tea leaves43
Detection of surface defects on solar cells by fusing Multi-channel convolution neural networks43
Finger vein recognition based on lightweight CNN combining center loss and dynamic regularization42
Determination of starch content in single kernel using near-infrared hyperspectral images from two sides of corn seeds40
Vis-NIR hyperspectral imaging for the classification of bacterial foodborne pathogens based on pixel-wise analysis and a novel CARS-PSO-SVM model39
Infrared maritime dim small target detection based on spatiotemporal cues and directional morphological filtering39
Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit38
Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm37
Using the characteristics of infrared radiation during the process of strain energy evolution in saturated rock as a precursor for violent failure36
Quantitative detection of fatty acid value during storage of wheat flour based on a portable near-infrared (NIR) spectroscopy system35
Computer aided detection of diabetic foot ulcer using asymmetry analysis of texture and temperature features35
Rapid estimation of leaf nitrogen content in apple-trees based on canopy hyperspectral reflectance using multivariate methods35
An optically transparent sandwich structure for radar-infrared bi-stealth34
Structural and spectroscopic studies on the concentration dependent erbium doped lithium bismuth boro tellurite glasses for optical fiber applications34
Human hand gesture recognition with convolutional neural networks for K-12 double-teachers instruction mode classroom33
A fast RetinaNet fusion framework for multi-spectral pedestrian detection33
Infrared small target segmentation with multiscale feature representation33
External reflectance FTIR dataset (4000–400 cm−1) for the identification of relevant mineralogical phases forming Cultural Heritage materials33
Prediction of moisture content of wood using Modified Random Frog and Vis-NIR hyperspectral imaging32
Hyperspectral band selection based on metaheuristic optimization approach32
Classifying maize kernels naturally infected by fungi using near-infrared hyperspectral imaging32
Improved prediction of ‘Kent’ mango firmness during ripening by near-infrared spectroscopy supported by interval partial least square regression32
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