Kong, X., Pettijohn II, T., Torikyan, H. (2025). From Photogrammetry to Virtual Reality: A Framework for Assessing Visual Fidelity in Structural Inspections. Sensors, 25(14), 4296. Link 1 Link 2
Kong, X., & Hucks, R. G. (2023). Preserving our heritage: A photogrammetry-based digital twin framework for monitoring deteriorations of historic structures. Automation in Construction, 152, 104928. Link 1 Link 2
Kong, X., & Smyl, D. (2022). Investigation of the condominium building collapse in Surfside, Florida: A video feature tracking approach. In Structures (Vol. 43, pp. 533-545). Elsevier. Link 1 Link 2
Gallet, A., Rigby, S., Tallman, T. N., Kong, X., Hajirasouliha, I., Liew, A., ... & Smyl, D. (2022). Structural engineering from an inverse problems perspective. Proceedings of the Royal Society A, 478(2257), 20210526. Link 1 Link 2
Kong, X. (2021). Identifying geomorphological changes of coastal cliffs through point cloud registration from UAV images. Remote Sensing, 13(16), 3152. Link 1 Link 2
Dellenbaugh, L., Kong, X., Al-Salih, H., Collins, W., Bennett, C., Li, J., & Sutley, E. J. (2020). Development of a distortion-induced fatigue crack characterization methodology using digital image correlation. Journal of Bridge Engineering, 25(9), 04020063.
Kong, X., & Li, J. (2019). Non-contact fatigue crack detection in civil infrastructure through image overlapping and crack breathing sensing. Automation in Construction, 99, 125-139. Link 1
Kong, X., Li, J., Bennett, C., Collins, W., Laflamme, S., & Jo, H. (2019). Thin-film sensor for fatigue crack sensing and monitoring in steel bridges under varying crack propagation rates and random traffic loads. Journal of Aerospace Engineering, 32(1), 04018116. Link 1
Jeong, J. H., Xu, J., Jo, H., Li, J., Kong, X., Collins, W., ... & Laflamme, S. (2018). Development of wireless sensor node hardware for large-area capacitive strain monitoring. Smart Materials and Structures, 28(1), 015002. Link 1
Kong, X., Li, J., Collins, W., Bennett, C., Laflamme, S., & Jo, H. (2018). Sensing distortion-induced fatigue cracks in steel bridges with capacitive skin sensor arrays. Smart Materials and Structures, 27(11), 115008. Link 1 Link 2
Kong, X., & Li, J. (2018). Image registration-based bolt loosening detection of steel joints. Sensors, 18(4), 1000. Link 1 Link 2
Kong, X., & Li, J. (2018). Vision‐based fatigue crack detection of steel structures using video feature tracking. Computer‐Aided Civil and Infrastructure Engineering, 33(9), 783-799. Link 1
Kong, X., Li, J., Collins, W., Bennett, C., Laflamme, S., & Jo, H. (2017). A large-area strain sensing technology for monitoring fatigue cracks in steel bridges. Smart Materials and Structures, 26(8), 085024. Link 1 Link 2
Kong, X., Li, J., Bennett, C., Collins, W., & Laflamme, S. (2016). Numerical simulation and experimental validation of a large-area capacitive strain sensor for fatigue crack monitoring. Measurement Science and Technology, 27(12), 124009. Link 1 Link 2
Kong, X., Fegely, A., Hitt, G. W., Garcia, D., Montgomery, K., and Law., D. i360°VR: an interactive 360-degree virtual reality approach for engineering education, In Proceedings of the 2025 ASEE Annual Conference, Montreal, QC, Canada, 22–25 June 2025. Link 1 Link 2
Kong, X. (2024). Monitoring Time-Varying Changes of Historic Structures Through Photogrammetry-Driven Digital Twinning. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 181-186. Link 1 Link 2 Link 3
Kong, X., Fegely, A., De Backer, W., Gray, M., Hitt, G., & Kerns, R. (2022, August). Work-in-Progress: Developing an Interactive, Immersive, 360-Degree Virtual Media for Enhancing Student Learning in Additive Manufacturing. In 2022 ASEE Annual Conference & Exposition. Link 1 Link 2
Kong, X., Li, J., Bennett, C., Collins, W., Laflamme, S., & Jo, H. (2018, July). Large-scale strain sensing approach for detecting fatigue cracks in steel bridges. In 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS (pp. 567-575). Link 1
Kong, X., Li, J., Collins, W., Bennett, C., Jo, H., Jeong, J. H., & Laflamme, S. (2018, March). Dense capacitive sensor array for monitoring distortion-induced fatigue cracks in steel bridges. In Sensors and smart structures technologies for civil, mechanical, and aerospace systems 2018 (Vol. 10598, pp. 172-178). SPIE. Link 1
Jeong, J. H., Xu, J., Jo, H., Li, J., Kong, X., Collins, W., ... & Laflamme, S. (2018, March). Capacitance-based wireless strain sensor development. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 (Vol. 10598, pp. 190-196). SPIE. Link 1
Kong, X., & Li, J. (2018, March). An image-based feature tracking approach for bolt loosening detection in steel connections. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 (Vol. 10598, pp. 205-211). SPIE. Link 1
Kong, X., & Li, J. (2018, March). Automated fatigue crack identification through motion tracking in a video stream. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 (Vol. 10598, pp. 212-219). SPIE. Link 1 Link 2
Kong, X., Li, J., Collins, W., Bennett, C., Laflamme, S., & Jo, H. (2017, April). A robust signal processing method for quantitative high-cycle fatigue crack monitoring using soft elastomeric capacitor sensors. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017 (Vol. 10168, pp. 54-63). SPIE. Link 1 Link 2
Kong, X., Li, J., Bennett, C., Collins, W., & Laflamme, S. (2016, April). Model calibration for a soft elastomeric capacitor sensor considering slippage under fatigue cracks. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016 (Vol. 9803, pp. 775-783). SPIE. Link 1
Kong, X., Li, J., Laflamme, S., & Bennett, C. (2015). Fatigue crack monitoring using large-area, flexible capacitive strain sensors. In The 6th International Conference on Advances in Experimental Structural Engineering (6AESE) and 11th International Workshop on Advanced Smart Materials and Smart Structures Technology (11ANCRiSST). Link 1
Kong, X., & Li, J. (2024). Fatigue crack detection in civil infrastructure, U.S. Patent No. 11,954,844. Washington, DC: U.S. Patent and Trademark Office. Link 1
Li, J., & Kong, X. (2023). Vision-based fatigue crack detection using feature tracking, U.S. Patent No. 11,714,024. Washington, DC: U.S. Patent and Trademark Office. Link 1
Kong, X., & Li, J. (2022). Vision-based fastener loosening detection, U.S. Patent No. 11,354,814. Washington, DC: U.S. Patent and Trademark Office. Link 1