Jong‐Su Jeon 
- (2023): Machine learning‐based peak ground acceleration models for structural risk assessment using spatial data analysis. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 1 (28 Oktober 2023).
- (2023): Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 4 (November 2023).
- (2023): Generalized stacked LSTM for the seismic damage evaluation of ductile reinforced concrete buildings. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 11 (Juni 2023).
- (2022): Seismic reliability assessment of bridge networks considering travel time and connectivity reliabilities. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 13 (25 Oktober 2022).
- (2022): Data‐driven rapid damage evaluation for life‐cycle seismic assessment of regional reinforced concrete bridges. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 11 (September 2022).
- (2022): Probabilistic residual deformation prediction model for rectangular reinforced concrete columns. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 9 (25 Juli 2022).
- (2022): Phenomenological hysteretic model for superelastic NiTi shape memory alloys accounting for functional degradation. In: Earthquake Engineering and Structural Dynamics, v. 51, n. 2 (Februar 2022).
- (2021): Adaptive hysteretic model for reinforced concrete columns including variations in axial force and shear span length. In: Earthquake Engineering and Structural Dynamics, v. 50, n. 15 (Dezember 2021).
- (2021): Quantifying the effects of long‐duration earthquake ground motions on the financial losses of steel moment resisting frame buildings of varying design risk category. In: Earthquake Engineering and Structural Dynamics, v. 50, n. 5 (25 April 2021).
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