| Identification of Application Areas for Augmented Reality in Industrial Construction Based on Technology Suitability D Shin, PS Dunston Automation in Construction 17 (7), 882-894, 2008 | 228 | 2008 |
| Evaluation of Augmented Reality in Steel Column Inspection D Shin, PS Dunston Automation in Construction 18 (2), 118-129, 2009 | 129 | 2009 |
| Forecasting short-term air passenger demand using big data from search engine queries S Kim, D Shin Automation in Construction 70, 98-108, 2016 | 96 | 2016 |
| Non-Destructive Testing Methods in the U.S. for Bridge Inspection and Maintenance S Lee, N Kalos, D Shin KSCE Journal of Civil Engineering 18 (5), 1322-1331, 2014 | 82 | 2014 |
| Knowledge‐mapping model for construction project organizations G Yun, D Shin, H Kim, S Lee Journal of Knowledge Management 15 (3), 528-548, 2011 | 67 | 2011 |
| Technology Development Needs for Advancing Augmented Reality-Based Inspection D Shin, PS Dunston Automation in Construction 19 (2), 169-182, 2010 | 63 | 2010 |
| Key areas and issues for augmented reality applications on construction sites PS Dunston, DH Shin Mixed reality in architecture, design and construction, 157-170, 2009 | 42 | 2009 |
| Approximate cost estimating model for river facility construction based on case-based reasoning with genetic algorithms M Kim, S Lee, S Woo, D Shin KSCE Journal of Civil Engineering 16 (3), 283-292, 2012 | 36 | 2012 |
| Prediction of WSN Placement for Bridge Health Monitoring based on Materials Characteristics Automation in Construction S Bae, W Jang, S Woo, D Shin Automation in Construction 35, 18-27, 2013 | 34 | 2013 |
| Utilization of Ubiquitous Computing for Construction AR Technology D Shin, W Jang Automation in Construction 18 (8), 1063-1069, 2009 | 34 | 2009 |
| A novelty detection approach for tendons of prestressed concrete bridges based on a convolutional autoencoder and acceleration data K Lee, S Jeong, SH Sim, DH Shin Sensors 19 (7), 1633, 2019 | 32 | 2019 |
| A damage localization approach for rahmen bridge based on convolutional neural network K Lee, N Byun, DH Shin KSCE Journal of Civil Engineering 24 (1), 1-9, 2020 | 31 | 2020 |
| View changes in augmented reality computer-aided-drawing DH Shin, PS Dunston, X Wang ACM Transactions on Applied Perception (TAP) 2 (1), 1-14, 2005 | 27 | 2005 |
| Prediction of heavy rain damage using deep learning K Lee, C Choi, DH Shin, HS Kim Water 12 (7), 1942, 2020 | 22 | 2020 |
| Forecasting Construction Cost Index Using Interrupted Time-Series T Moon, D Shin KSCE Journal of Civil Engineering 22 (5), 1626-1633, 2018 | 22 | 2018 |
| Approximate Cost Estimating Model of Eco-type Trade for River Facility Construction Using Case-Based Reasoning and Genetic Algorithm Y Jin, S Lee, S Woo, D Shin KSCE Journal of Civil Engineering 17 (2), 292-300, 2012 | 21 | 2012 |
| Field experiment on a PSC-I bridge for convolutional autoencoder-based damage detection K Lee, S Jeong, SH Sim, DH Shin Structural Health Monitoring 20 (4), 1627-1643, 2021 | 17 | 2021 |
| Forecasting Short-Term Housing Transaction Volumes Using Time-Series and Internet Search Queries K Lee, H Kim, D Shin KSCE Journal of Civil Engineering 23 (6), 2409-2416, 2019 | 14 | 2019 |
| Identification of IT application areas and potential solutions for perception enhancement to improve construction safety S Kim, D Shin KSCE Journal of Civil Engineering 18 (2), 365-379, 2014 | 13 | 2014 |
| Issues in Mixed Reality-based design and collaboration environments X Wang, DH Shin, PS Dunston Construction Research Congress: Wind of Change: Integration and Innovation, 1-9, 2003 | 12 | 2003 |
