Guohua Ji
- : Volumetric Drag Coefficients for Generic Urban Configurations: Insights from Canopy Flow Analysis. In: Building and Environment.
- : Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm. In: Building Simulation.
- (2024): Machine Learning for Real-Time Building Outdoor Wind Environment Prediction Framework in Preliminary Design: Taking Xinjiekou Area of Nanjing, China as the Case. In: Buildings, v. 14, n. 9 (25 August 2024).
- (2023): Reverse passive strategy exploration for building massing design-An optimization-aided approach. In: International Journal of Architectural Computing, v. 21, n. 3 (August 2023).
- (2022): Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change. In: Building and Environment, v. 226 (December 2022).
- (2022): Research on Design Framework of Middle School Teaching Building Based on Performance Optimization and Prediction in the Scheme Design Stage. In: Buildings, v. 12, n. 11 (27 October 2022).
- (2022): Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms. In: Building and Environment, v. 218 (June 2022).
- (2022): Exploring the synergy of building massing and façade design through evolutionary optimization. In: Frontiers of Architectural Research, v. 11, n. 4 (August 2022).
- (2021): A robust node-shifting method for shape optimization of irregular gridshell structures. In: Structures, v. 34 (December 2021).
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