Gang Jiang 
- (2024): Physics-informed ensemble learning with residual modeling for enhanced building energy prediction. In: Energy and Buildings, v. 323 (November 2024).
- (2025): Modeling of Thermomechanical Energy Pile Behavior with Temperature-Induced Radial Effects. In: International Journal of Geomechanics, v. 25, n. 1 (Januar 2025).
- (2024): A deep learning-based Bayesian framework for high-resolution calibration of building energy models. In: Energy and Buildings, v. 323 (November 2024).
- (2024): Environmental Sustainability Study of Urban Waterfront Landscapes Based on the LCA–Emergy–Carbon Footprint and Artificial Neural Network Method. In: Buildings, v. 14, n. 2 (1 Februar 2024).
- (2022): Thermo-Mechanical Behavior of Long-Bored Energy Pile: A Full-Scale Field Investigation. In: KSCE Journal of Civil Engineering, v. 27, n. 1 (November 2022).
- (2021): Global sensitivity analysis of behavior of energy pile under thermo-mechanical loads. In: Soils and Foundations, v. 61, n. 2 (April 2021).
- (2021): Thermo-mechanical behavior of driven energy piles from full-scale load tests. In: Energy and Buildings, v. 233 (Februar 2021).
Structurae kooperiert mit
