Hideki Kikumoto 
- (2023): Transfer learning strategy for data-driven correction of wind measurement around buildings using cup anemometers. In: Building and Environment, v. 241 (August 2023).
- (2022): Towards real-time prediction of velocity field around a building using generative adversarial networks based on the surface pressure from sparse sensor networks. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 231 (Dezember 2022).
- (2022): Turbulence-induced ventilation of an isolated building: Ventilation route identification using spectral proper orthogonal decomposition. In: Building and Environment, v. 223 (September 2022).
- (2022): Wind tunnel experiments on pumping ventilation through a three-story reduce-scaled building with two openings affected by upwind and downwind buildings. In: Building and Environment, v. 219 (Juli 2022).
- (2021): Winter air infiltration induced by combined buoyancy and wind forces in large-space buildings. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 210 (März 2021).
- (2020): Validation of lattice Boltzmann method-based large-eddy simulation applied to wind flow around single 1:1:2 building model. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 206 (November 2020).
- (2020): Wind tunnel experiment on high-buoyancy gas dispersion around isolated cubic building. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 202 (Juli 2020).
- (2017): Turbulent Schmidt number for source term estimation using Bayesian inference. In: Building and Environment, v. 125 (November 2017).
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