Quantitative Infrared Thermography Journal

(The TQCC of Quantitative Infrared Thermography Journal is 9. 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 2020-07-01 to 2024-07-01.)
In-situ monitoring of a laser metal deposition (LMD) process: comparison of MWIR, SWIR and high-speed NIR thermography37
Deep convolutional neural networks for classifying breast cancer using infrared thermography31
Quantitative measurement of cast metal relics by pulsed thermal imaging25
Factor analysis thermography for defect detection of panel paintings24
In situ quantitative diagnosis of insulated building walls using passive infrared thermography21
An experimental study on the evaluation of temperature uniformity on the surface of a blackbody using infrared cameras20
New computer aided diagnostic system using deep neural network and SVM to detect breast cancer in thermography19
Development of a thermal excitation source used in an active thermographic UAV platform18
Automated classification of thermal defects in the building envelope using thermal and visible images17
Breast cancer classification on thermograms using deep CNN and transformers16
Detection of dis-bond between honeycomb and composite facesheet of an Inner Fixed Structure bond panel of a jet engine nacelle using infrared thermographic techniques15
Introduction of the combination of thermal fundamentals and Deep Learning for the automatic thermographic inspection of thermal bridges and water-related problems in infrastructures14
Combining modern 3D reconstruction and thermal imaging: generation of large-scale 3D thermograms in real-time14
Defect shape detection and defect reconstruction in active thermography by means of two-dimensional convolutional neural network as well as spatiotemporal convolutional LSTM network13
Deep convolutional autoencoder thermography for artwork defect detection12
Automatic body part and pose detection in medical infrared thermal images11
Detection and characterisation of short fatigue cracks by inductive thermography11
Use of infrared thermography to estimate enteric methane production in dairy heifers10
Designing of an inflammatory knee joint thermogram dataset for arthritis classification using deep convolution neural network.10
Extraction of hottest blood vessels from breast thermograms using state-of-the-art image segmentation methods9