Automated construction progress measurement using a 4D building information model and 3D data C Kim, H Son, C Kim Automation in construction 31, 75-82, 2013 | 385 | 2013 |
Fully automated registration of 3D data to a 3D CAD model for project progress monitoring C Kim, H Son, C Kim Automation in Construction 35, 587-594, 2013 | 156 | 2013 |
Skeleton-based 3D reconstruction of as-built pipelines from laser-scan data J Lee, H Son, C Kim, C Kim Automation in construction 35, 199-207, 2013 | 138 | 2013 |
Automated color model–based concrete detection in construction-site images by using machine learning algorithms H Son, C Kim, C Kim Journal of Computing in Civil Engineering 26 (3), 421-433, 2012 | 118 | 2012 |
3D reconstruction of as-built industrial instrumentation models from laser-scan data and a 3D CAD database based on prior knowledge H Son, C Kim, C Kim Automation in Construction 49, 193-200, 2015 | 106 | 2015 |
Fully automated as-built 3D pipeline extraction method from laser-scanned data based on curvature computation H Son, C Kim, C Kim Journal of Computing in Civil Engineering 29 (4), B4014003, 2015 | 96 | 2015 |
Classification of major construction materials in construction environments using ensemble classifiers H Son, C Kim, N Hwang, C Kim, Y Kang Advanced Engineering Informatics 28 (1), 1-10, 2014 | 83 | 2014 |
An investigation of the applicability of sustainability and lean concepts to small construction projects C Koranda, WK Chong, C Kim, JS Chou, C Kim KSCE Journal of Civil Engineering 16, 699-707, 2012 | 83 | 2012 |
Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables H Son, C Kim, C Kim Automation in Construction 27, 60-66, 2012 | 79 | 2012 |
Rapid and automated determination of rusted surface areas of a steel bridge for robotic maintenance systems H Son, N Hwang, C Kim, C Kim Automation in Construction 42, 13-24, 2014 | 74 | 2014 |
Improvement of grid independence test for computational fluid dynamics model of building based on grid resolution M Lee, G Park, C Park, C Kim Advances in Civil Engineering 2020, 1-11, 2020 | 71 | 2020 |
Thermal anomaly detection in walls via CNN-based segmentation G Park, M Lee, H Jang, C Kim Automation in Construction 125, 103627, 2021 | 26 | 2021 |
Automatic detection of linear thermal bridges from infrared thermal images using neural network C Kim, JS Choi, H Jang, EJ Kim Applied Sciences 11 (3), 931, 2021 | 23 | 2021 |
Automated classification of thermal defects in the building envelope using thermal and visible images C Kim, G Park, H Jang, EJ Kim Quantitative InfraRed Thermography Journal 20 (3), 106-122, 2023 | 22 | 2023 |
Prediction of government-owned building energy consumption based on an RReliefF and support vector machine model H Son, C Kim, C Kim, Y Kang Journal of Civil Engineering and Management 21 (6), 748-760, 2015 | 18 | 2015 |
Building geometry simplification for improving mesh quality of numerical analysis model G Park, C Kim, M Lee, C Choi Applied Sciences 10 (16), 5425, 2020 | 13 | 2020 |
Dynamic thermal bridge evaluation of window-wall joints using a model-based thermography method JS Choi, C Kim, H Jang, EJ Kim Case Studies in Thermal Engineering 35, 102117, 2022 | 9 | 2022 |
Detailed and fast calculation of wall surface temperatures near thermal bridge area JS Choi, CM Kim, HI Jang, EJ Kim Case Studies in Thermal Engineering 25, 100936, 2021 | 9 | 2021 |
Development of building CFD model design process based on BIM M Lee, G Park, H Jang, C Kim Applied Sciences 11 (3), 1252, 2021 | 8 | 2021 |
Automated conversion of building information modeling (BIM) geometry data for Window thermal performance simulation C Kim, C Park, C Choi, H Jang Advances in Civil Engineering 2019, 2019 | 5 | 2019 |