| Vision‐Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking X Kong, J Li Computer‐Aided Civil and Infrastructure Engineering 33 (9), 783-799, 2018 | 187 | 2018 |
| Image registration-based bolt loosening detection of steel joints X Kong, J Li Sensors 18 (4), 1000, 2018 | 122 | 2018 |
| Preserving our heritage: A photogrammetry-based digital twin framework for monitoring deteriorations of historic structures X Kong, RG Hucks Automation in Construction 152, 104928, 2023 | 103 | 2023 |
| A large-area strain sensing technology for monitoring fatigue cracks in steel bridges X Kong, J Li, W Collins, C Bennett, S Laflamme, H Jo Smart Materials and Structures 26 (8), 085024, 2017 | 75 | 2017 |
| Non-contact fatigue crack detection in civil infrastructure through image overlapping and crack breathing sensing X Kong, J Li Automation in construction 99, 125-139, 2019 | 66 | 2019 |
| Structural engineering from an inverse problems perspective A Gallet, S Rigby, TN Tallman, X Kong, I Hajirasouliha, A Liew, D Liu, ... Proceedings of the Royal Society A 478 (2257), 20210526, 2022 | 63 | 2022 |
| Numerical simulation and experimental validation of a large-area capacitive strain sensor for fatigue crack monitoring X Kong, J Li, C Bennett, W Collins, S Laflamme Measurement Science and Technology 27 (12), 124009, 2016 | 44 | 2016 |
| Sensing distortion-induced fatigue cracks in steel bridges with capacitive skin sensor arrays X Kong, J Li, W Collins, CR Bennett, S Laflamme, H Jo Smart Materials and Structures 27 (11), 115008, 2018 | 40 | 2018 |
| Development of a distortion-induced fatigue crack characterization methodology using digital image correlation L Dellenbaugh, X Kong, H Al-Salih, W Collins, C Bennett, J Li, EJ Sutley Journal of Bridge Engineering 25 (9), 04020063, 2020 | 37 | 2020 |
| Thin-Film Sensor for Fatigue Crack Sensing and Monitoring in Steel Bridges under Varying Crack Propagation Rates and Random Traffic Loads X Kong, J Li, W Collins, CR Bennett, S Laflamme, H Jo Journal of Aerospace Engineering 32 (1), 2019 | 30 | 2019 |
| Investigation of condominium building collapse in Surfside, Florida: A video feature tracking approach X Kong, D Smyl Structures 43, 533-545, 2022 | 22 | 2022 |
| Development of wireless sensor node hardware for large-area capacitive strain monitoring JH Jeong, J Xu, H Jo, J Li, X Kong, W Collins, CR Bennett, S Laflamme Smart Materials and Structures 28 (1), 015002, 2019 | 21 | 2019 |
| A robust signal processing method for quantitative high-cycle fatigue crack monitoring using soft elastomeric capacitor sensors X Kong, J Li, W Collins, C Bennett, S Laflamme, H Jo Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2017 | 17 | 2017 |
| Identifying Geomorphological Changes of Coastal Cliffs through Point Cloud Registration from UAV Images X Kong Remote Sensing 13 (16), 3152, 2021 | 15 | 2021 |
| Characterization of a soft elastomeric capacitive strain sensor for fatigue crack monitoring X Kong, J Li, S Laflamme, C Bennett, A Matamoros Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2015 | 14 | 2015 |
| Invention and experimental study on a new type of buckling-restrained brace [J] K Luo, X Kong, S Cheng Building Structure 10, 002, 2010 | 13* | 2010 |
| An image-based feature tracking approach for bolt loosening detection in steel connections X Kong, J Li Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018 | 12 | 2018 |
| Experiment study on seismic behavior of steel plane frame with buckling-restrained braces [J] X Kong, K Luo, S Cheng Building Structure 10, 003, 2010 | 11* | 2010 |
| Automated fatigue crack identification through motion tracking in a video stream X Kong, J Li Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018 | 10 | 2018 |
| Monitoring Time-Varying Changes of Historic Structures Through Photogrammetry-Driven Digital Twinning X Kong The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2024 | 7 | 2024 |
Jian LiDeane E. Ackers Professor, The University of KansasVerified email at ku.edu
