Jong-Jae Lee 
- (2016): 정적하중입력/변위출력관계를 이용한 단경간 교량의 유한요소모델개선기법: 실내실험검증 (Laboratory Validation of Bridge Finite Model Updating Approach By Static Load Input/Deflection Output Measurements). Dans: Journal of the Korea Institute for Structural Maintenance and Inspection (한국구조물진단유지관리공학회 논문집), v. 20, n. 3 (mai 2016).
- (2010): Vision-based displacement measurement method for high-rise building structures using partitioning approach. Dans: NDT & E International, v. 43, n. 7 (octobre 2010).
- (2005): Health monitoring of steel structures using impedance of thickness modes at PZT patches. Dans: Smart Structures and Systems, v. 1, n. 4 (octobre 2005).
- (2008): Damage detection in beam-like structures using deflections obtained by modal flexibility matrices. Dans: Smart Structures and Systems, v. 4, n. 5 (septembre 2008).
- (2008): Acceleration-based neural networks algorithm for damage detection in structures. Dans: Smart Structures and Systems, v. 4, n. 5 (septembre 2008).
- (2009): A remotely controllable structural health monitoring framework for bridges using 3.5 generation mobile telecommunication technology. Dans: Smart Structures and Systems, v. 5, n. 2 (mars 2009).
- (2010): Rapid-to-deploy reconfigurable wireless structural monitoring systems using extended-range wireless sensors. Dans: Smart Structures and Systems, v. 6, n. 5-6 (juillet 2010).
- (2021): Noncontact stress measurement technique for concrete structure using photoluminescence piezospectroscopy. Dans: Journal of Civil Structural Health Monitoring, v. 11, n. 5 (6 septembre 2021).
- (2008): Piezoelectric Sensor-Based Health Monitoring of Railroad Tracks Using a Two-Step Support Vector Machine Classifier. Dans: Journal of Infrastructure Systems, v. 14, n. 1 (mars 2008).
- (2018): Evaluation of bridge support condition using bridge responses. Dans: Structural Health Monitoring, v. 18, n. 3 (mars 2018).
- (2019): Three-dimensional convolutional neural network–based underground object classification using three-dimensional ground penetrating radar data. Dans: Structural Health Monitoring, v. 19, n. 6 (décembre 2019).
- (2007): Application of support vector regression for the prediction of concrete strength. Dans: Computers and Concrete, v. 4, n. 4 (août 2007).
- (2010): Development of a cable exciter to evaluate damping ratios of a stay cable. Dans: KSCE Journal of Civil Engineering, v. 14, n. 3 (mai 2010).
- (2015): A comparative study on wind loads between design standards for the design of pipe-rack structures. Dans: KSCE Journal of Civil Engineering, v. 20, n. 1 (février 2015).
- (2012): Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method. Dans: International Journal of Concrete Structures and Materials, v. 6, n. 3 (septembre 2012).
- (2007): Damage localization for bridges using probabilistic neural networks. Dans: KSCE Journal of Civil Engineering, v. 11, n. 2 (mars 2007).
- (2003): Recent R&D activities on structural health monitoring for civil infra-structures in Korea. Dans: KSCE Journal of Civil Engineering, v. 7, n. 6 (novembre 2003).
- (2017): Rollover instability of precast girders subjected to wind load. Dans: Magazine of Concrete Research, v. 69, n. 2 (janvier 2017).
- (2012): A Semi-Analytical Approach to Predict Ground Vibration by Identification of Soil Properties and Train-Transit Loads. Dans: Advances in Structural Engineering, v. 15, n. 6 (juin 2012).
- (2011): Smart structure technologies for civil infrastructures in Korea: recent research and applications. Dans: Structure and Infrastructure Engineering, v. 7, n. 9 (septembre 2011).
- (2006): PZT-based active damage detection techniques for steel bridge components. Dans: Smart Materials and Structures, v. 15, n. 4 (août 2006).
- (2012): An advanced vision-based system for real-time displacement measurement of high-rise buildings. Dans: Smart Materials and Structures, v. 21, n. 12 (décembre 2012).
- (2017): Finite element model updating considering boundary conditions using neural networks. Dans: Engineering Structures, v. 150 (novembre 2017).
- (2011): Truck-based mobile wireless sensor networks for the experimental observation of vehicle–bridge interaction. Dans: Smart Materials and Structures, v. 20, n. 6 (juin 2011).
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