| Surface crack detection using deep learning with shallow CNN architecture for enhanced computation B Kim, N Yuvaraj, KR Sri Preethaa, R Arun Pandian Neural Computing and Applications 33 (15), 9289-9305, 2021 | 129 | 2021 |
| Enhanced pedestrian detection using optimized deep convolution neural network for smart building surveillance B Kim, N Yuvaraj, KR Sri Preethaa, R Santhosh, A Sabari Soft Computing 24 (22), 17081-17092, 2020 | 52 | 2020 |
| A perspective on the aerodynamics and aeroelasticity of tapering: Partial reattachment Z Chen, X Fu, Y Xu, CY Li, B Kim, KT Tse Journal of Wind Engineering and Industrial Aerodynamics 212, 104590, 2021 | 48 | 2021 |
| Investigation of steel frame damage based on computer vision and deep learning B Kim, N Yuvaraj, HW Park, KRS Preethaa, RA Pandian, DE Lee Automation in Construction 132, 103941, 2021 | 42 | 2021 |
| Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm B Kim, N Yuvaraj, KT Tse, DE Lee, G Hu Journal of Wind Engineering and Industrial Aerodynamics 214, 104629, 2021 | 40 | 2021 |
| POD analysis for aerodynamic characteristics of tall linked buildings B Kim, KT Tse, Y Tamura Journal of Wind Engineering and Industrial Aerodynamics 181, 126-140, 2018 | 40 | 2018 |
| Measurement of unsteady aerodynamic force on a galloping prism in a turbulent flow: A hybrid aeroelastic-pressure balance Z Chen, KT Tse, KCS Kwok, A Kareem, B Kim Journal of Fluids and Structures 102, 103232, 2021 | 39 | 2021 |
| POD analysis of aerodynamic correlations and wind-induced responses of two tall linked buildings B Kim, KT Tse Engineering Structures 176, 369-384, 2018 | 39 | 2018 |
| A deformed shape monitoring model for building structures based on a 2D laser scanner SW Choi, BR Kim, HM Lee, Y Kim, HS Park Sensors 13 (5), 6746-6758, 2013 | 34 | 2013 |
| Statistical analysis of wind-induced pressure fields and PIV measurements on two buildings B Kim, KT Tse, A Yoshida, Y Tamura, Z Chen, P Van Phuc, HS Park Journal of Wind Engineering and Industrial Aerodynamics 188, 161-174, 2019 | 33 | 2019 |
| Predicting wind flow around buildings using deep learning B Kim, DE Lee, KRS Preethaa, G Hu, Y Natarajan, KCS Kwok Journal of Wind Engineering and Industrial Aerodynamics 219, 104820, 2021 | 31 | 2021 |
| Ensemble machine learning-based approach for predicting of FRP–concrete interfacial bonding B Kim, DE Lee, G Hu, Y Natarajan, S Preethaa, AP Rathinakumar Mathematics 10 (2), 231, 2022 | 30 | 2022 |
| Importance of image enhancement and CDF for fault assessment of photovoltaic module using IR thermal image B Kim, RO Serfa Juan, DE Lee, Z Chen Applied Sciences 11 (18), 8388, 2021 | 24 | 2021 |
| Effects of corner modifications on wind loads and local pressures on walls of tall buildings KT Tse, G Hu, J Song, HS Park, B Kim Building Simulation 14, 1109-1126, 2021 | 24 | 2021 |
| Modelling unsteady self-excited wind force on slender prisms in a turbulent flow Z Chen, KT Tse, KCS Kwok, B Kim, A Kareem Engineering Structures 202, 109855, 2020 | 24 | 2020 |
| Investigation of flow visualization around linked tall buildings with circular sections B Kim, KT Tse, A Yoshida, Z Chen, P Van Phuc, HS Park Building and Environment 153, 60-76, 2019 | 24 | 2019 |
| Wind-induced pressure prediction on tall buildings using generative adversarial imputation network B Kim, N Yuvaraj, KR Sri Preethaa, G Hu, DE Lee Sensors 21 (7), 2515, 2021 | 23 | 2021 |
| Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations Z Chen, L Zhang, K Li, X Xue, X Zhang, B Kim, CY Li Journal of Building Engineering 63, 105374, 2023 | 21 | 2023 |
| Unsteady aerodynamics on a tapered prism under forced excitation Z Chen, H Huang, Y Xu, KT Tse, B Kim, Y Wang Engineering Structures 240, 112387, 2021 | 19 | 2021 |
| Multi-objective optimization of a structural link for a linked tall building system B Kim, KT Tse, Z Chen, HS Park Journal of Building Engineering 31, 101382, 2020 | 18 | 2020 |
