A new approach for health monitoring of structures: terrestrial laser scanning HS Park, HM Lee, H Adeli, I Lee Computer‐Aided Civil and Infrastructure Engineering 22 (1), 19-30, 2007 | 744 | 2007 |
3D displacement measurement model for health monitoring of structures using a motion capture system SW Park, HS Park, JH Kim, H Adeli Measurement 59, 352-362, 2015 | 327 | 2015 |
A neural dynamics model for structural optimization—theory H Adeli, HS Park Computers & structures 57 (3), 383-390, 1995 | 209 | 1995 |
Neurocomputing for design automation HS Park CRC Press, 2018 | 191 | 2018 |
Evolutionary learning based sustainable strain sensing model for structural health monitoring of high-rise buildings BK Oh, KJ Kim, Y Kim, HS Park, H Adeli Applied Soft Computing 58, 576-585, 2017 | 188 | 2017 |
Optimization of space structures by neural dynamics H Adeli, HS Park Neural networks 8 (5), 769-781, 1995 | 182 | 1995 |
A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform JP Amezquita-Sanchez, HS Park, H Adeli Engineering Structures 147, 148-159, 2017 | 173 | 2017 |
Distributed neural dynamics algorithms for optimization of large steel structures HS Park, H Adeli Journal of Structural Engineering 123 (7), 880-888, 1997 | 173 | 1997 |
Counterpropagation neural networks in structural engineering H Adeli, H Seon Park Journal of Structural Engineering 121 (8), 1205-1212, 1995 | 165 | 1995 |
New method for modal identification of super high‐rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms Z Li, HS Park, H Adeli The Structural Design of Tall and Special Buildings 26 (3), e1312, 2017 | 153 | 2017 |
Assessment model for energy consumption and greenhouse gas emissions during building construction T Hong, CY Ji, MH Jang, HS Park Journal of Management in Engineering 30 (2), 226-235, 2014 | 153 | 2014 |
Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques HS Park, M Lee, H Kang, T Hong, J Jeong Applied energy 173, 225-237, 2016 | 127 | 2016 |
A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system T Hong, C Koo, J Park, HS Park Energy 65, 190-199, 2014 | 127 | 2014 |
Cost and CO2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings HS Park, B Kwon, Y Shin, Y Kim, T Hong, SW Choi Energies 6 (11), 5609-5624, 2013 | 115 | 2013 |
Seismic response prediction method for building structures using convolutional neural network BK Oh, Y Park, HS Park Structural Control and Health Monitoring 27 (5), e2519, 2020 | 109 | 2020 |
Development of a new energy efficiency rating system for existing residential buildings C Koo, T Hong, M Lee, HS Park Energy Policy 68, 218-231, 2014 | 107 | 2014 |
Convolutional neural network‐based wind‐induced response estimation model for tall buildings BK Oh, B Glisic, Y Kim, HS Park Computer‐Aided Civil and Infrastructure Engineering 34 (10), 843-858, 2019 | 105 | 2019 |
Application of GPS to monitoring of wind‐induced responses of high‐rise buildings HS Park, HG Sohn, IS Kim, JH Park The Structural Design of Tall and Special Buildings 17 (1), 117-132, 2008 | 105 | 2008 |
Convolutional neural network–based data recovery method for structural health monitoring BK Oh, B Glisic, Y Kim, HS Park Structural Health Monitoring 19 (6), 1821-1838, 2020 | 103 | 2020 |
An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method C Koo, S Park, T Hong, HS Park Applied Energy 115, 205-215, 2014 | 103 | 2014 |