Quantitative Infrared Thermography Journal

Papers
(The TQCC of Quantitative Infrared Thermography Journal is 8. 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.)
ArticleCitations
In-situ monitoring of a laser metal deposition (LMD) process: comparison of MWIR, SWIR and high-speed NIR thermography34
Theoretical basics of radiant heat transfer – practical examples of calculation for the infrared (IR) used in infrared thermography measurements26
Deep convolutional neural networks for classifying breast cancer using infrared thermography26
Quantitative measurement of cast metal relics by pulsed thermal imaging24
Factor analysis thermography for defect detection of panel paintings22
An experimental study on the evaluation of temperature uniformity on the surface of a blackbody using infrared cameras20
In situ quantitative diagnosis of insulated building walls using passive infrared thermography20
Detection of breast cancer tumours based on feature reduction and classification of thermograms19
New computer aided diagnostic system using deep neural network and SVM to detect breast cancer in thermography15
Automated classification of thermal defects in the building envelope using thermal and visible images15
Development of a thermal excitation source used in an active thermographic UAV platform14
Detection of dis-bond between honeycomb and composite facesheet of an Inner Fixed Structure bond panel of a jet engine nacelle using infrared thermographic techniques14
Introduction of the combination of thermal fundamentals and Deep Learning for the automatic thermographic inspection of thermal bridges and water-related problems in infrastructures13
Breast cancer classification on thermograms using deep CNN and transformers13
Defect shape detection and defect reconstruction in active thermography by means of two-dimensional convolutional neural network as well as spatiotemporal convolutional LSTM network12
Combining modern 3D reconstruction and thermal imaging: generation of large-scale 3D thermograms in real-time12
Automatic body part and pose detection in medical infrared thermal images11
Designing of an inflammatory knee joint thermogram dataset for arthritis classification using deep convolution neural network.10
Use of infrared thermography to estimate enteric methane production in dairy heifers9
Extraction of hottest blood vessels from breast thermograms using state-of-the-art image segmentation methods9
Detection and characterisation of short fatigue cracks by inductive thermography8
Vibro-thermography of calibrated defects in hybrid plates focusing on viscoelastic heat generation8
Investigation on dual-domain data processing algorithm used in thermal non-destructive evaluation8
Thermoelastic effect in compacted steel wire ropes under uniaxial loading8
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