| Crack and noncrack classification from concrete surface images using machine learning H Kim, E Ahn, M Shin, SH Sim Structural Health Monitoring 18 (3), 725-738, 2019 | 135 | 2019 |
| Concrete crack identification using a UAV incorporating hybrid image processing H Kim, J Lee, E Ahn, S Cho, M Shin, SH Sim Sensors 17 (9), 2052, 2017 | 122 | 2017 |
| Comparative analysis of image binarization methods for crack identification in concrete structures H Kim, E Ahn, S Cho, M Shin, SH Sim Cement and Concrete Research 99, 53-61, 2017 | 116 | 2017 |
| Principles and applications of ultrasonic-based nondestructive methods for self-healing in cementitious materials E Ahn, H Kim, SH Sim, SW Shin, M Shin Materials 10 (3), 278, 2017 | 51 | 2017 |
| Unmanned aerial vehicle (UAV)-powered concrete crack detection based on digital image processing H Kim, SH Sim, S Cho 6th International Conference on Advances in Experimental Structural …, 2015 | 39 | 2015 |
| Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input RP Palanisamy, S Cho, H Kim, SH Sim Smart Structures and Systems 15 (2), 489-503, 2015 | 38 | 2015 |
| Flood fragility analysis for bridges with multiple failure modes H Kim, SH Sim, J Lee, YJ Lee, JM Kim Advances in Mechanical Engineering 9 (3), 1687814017696415, 2017 | 27 | 2017 |
| A new methodology development for flood fragility curve derivation considering structural deterioration for bridges J Lee, YJ Lee, H Kim, S Sim, J Kim Smart Structures and Systems 17 (1), 149-165, 2016 | 24 | 2016 |
| Automated bridge component recognition from point clouds using deep learning H Kim, J Yoon, SH Sim Structural Control and Health Monitoring 27 (9), e2591, 2020 | 22 | 2020 |
| Performance assessment method for crack repair in concrete using PZT-based electromechanical impedance technique H Kim, X Liu, E Ahn, M Shin, SW Shin, SH Sim NDT & E International 104, 90-97, 2019 | 20 | 2019 |
| Prediction model for mechanical properties of lightweight aggregate concrete using artificial neural network JY Yoon, H Kim, YJ Lee, SH Sim Materials 12 (17), 2678, 2019 | 17 | 2019 |
| Automated peak picking using region‐based convolutional neural network for operational modal analysis H Kim, SH Sim Structural Control and Health Monitoring 26 (11), e2436, 2019 | 16 | 2019 |
| Data fusion of acceleration and angular velocity for improved model updating H Kim, S Cho, SH Sim Measurement 91, 239-250, 2016 | 15 | 2016 |
| Microstructural characteristics of sound absorbable porous cement-based materials by incorporating natural fibers and aluminum powder J Yoon, H Kim, T Koh, S Pyo Construction and Building Materials 243, 118167, 2020 | 13 | 2020 |
| Automated wireless monitoring system for cable tension forces using deep learning S Jeong, H Kim, J Lee, SH Sim Structural Health Monitoring 20 (4), 1805-1821, 2021 | 9 | 2021 |
| Crack identification method for concrete structures considering angle of view using RGB-D camera-based sensor fusion H Kim, S Lee, E Ahn, M Shin, SH Sim Structural Health Monitoring 20 (2), 500-512, 2021 | 9 | 2021 |
| Characterization of porous cementitious materials using microscopic image processing and X-ray CT analysis J Yoon, H Kim, SH Sim, S Pyo Materials 13 (14), 3105, 2020 | 8 | 2020 |
| Applicability of diffuse ultrasound to evaluation of the water permeability and chloride ion penetrability of cracked concrete E Ahn, S Gwon, H Kim, C Kim, SH Sim, M Shin Sensors 18 (12), 4156, 2018 | 8 | 2018 |
| Flood fragility analysis of bridge piers in consideration of debris impacts H Kim, SH Sim Journal of the Korea Academia-Industrial cooperation Society 17 (5), 325-331, 2016 | 8 | 2016 |
| Surface-wave based model for estimation of discontinuity depth in concrete E Ahn, H Kim, SH Sim, SW Shin, JS Popovics, M Shin Sensors 18 (9), 2793, 2018 | 7 | 2018 |
Sung-Han SimProfessor of Sungkyunkwan UniversityVerified email at skku.edu
