Kyosuke Hiyama 
- : Operational performance and environmental satisfaction survey of a university building with large learning commons. In: Journal of Asian Architecture and Building Engineering.
- (2023): Low-carbon assessment of building facades using dynamic CO2 intensity of electricity generation in Japan. In: Energy and Buildings, v. 278 (Januar 2023).
- (2022): Regional adaptivity of electrochromic glazing in Japan and operational improvement in energy saving using machine learning. In: Japan Architectural Review, v. 5, n. 3 (30 Juni 2022).
- (2022): Adaptation of electrochromic glass into an airflow window system and its performance evaluation. In: Japan Architectural Review, v. 5, n. 3 (30 Juni 2022).
- (2021): Operation strategy for engineered natural ventilation using machine learning under sparse data conditions. In: Japan Architectural Review, v. 5, n. 1 (Dezember 2021).
- (2021): Operation of climate-adaptive building shells utilizing machine learning under sparse data conditions. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): Correlations between building performances and design parameters of double‐skin facade utilizing perforated screen. In: Japan Architectural Review, v. 4, n. 3 (Juni 2021).
- (2018): Understanding the effect of background awareness in urban wind environment visualizations to minimize information entropy. In: Sustainable Cities and Society, v. 41 (August 2018).
- (2011): Development of an optimal design aid system based on building information modeling. In: Building Simulation, v. 4, n. 4 (Dezember 2011).
- (2010): Thermal simulation: Response factor analysis using three-dimensional CFD in the simulation of air conditioning control. In: Building Simulation, v. 3, n. 3 (September 2010).
- (2011): Optimization of variables in air conditioning control systems: Applications of simulations integrating CFD analysis and response factor method. In: Building Simulation, v. 4, n. 4 (Dezember 2011).
- (2011): Integration of three-dimensional CFD results into energy simulations utilizing an Advection–Diffusion Response Factor. In: Energy and Buildings, v. 43, n. 10 (Oktober 2011).
- (2014): A new method for reusing building information models of past projects to optimize the default configuration for performance simulations. In: Energy and Buildings, v. 73 (April 2014).
- (2015): Rapid response surface creation method to optimize window geometry using dynamic daylighting simulation and energy simulation. In: Energy and Buildings, v. 107 (November 2015).
- (2017): A method for creating maps of recommended window-to-wall ratios to assign appropriate default values in design performance modeling: A case study of a typical office building in Japan. In: Energy and Buildings, v. 145 (Juni 2017).
- (2020): Balancing of natural ventilation, daylight, thermal effect for a building with double-skin perforated facade (DSPF). In: Energy and Buildings, v. 210 (März 2020).
- (2020): Regional classification maps for engineered natural ventilation design of office buildings in Japan. In: Japan Architectural Review, v. 4, n. 1 (August 2020).
- (2013): Building energy simulation considering spatial temperature distribution for nonuniform indoor environment. In: Building and Environment, v. 63 (Mai 2013).
- (2010): Structural analysis of Pareto-optimal solution sets for multi-objective optimization: An application to outer window design problems using Multiple Objective Genetic Algorithms. In: Building and Environment, v. 45, n. 5 (Mai 2010).
- (2015): Thermal Performance Evaluation of a Dynamic Insulation Technology Applied to a Timber Framework House in a Real Environment. In: Journal of Asian Architecture and Building Engineering, v. 14, n. 1 (Januar 2015).
- (2014): Study on Statistical Prediction and Design Method for Indoor Thermal Environment. In: Journal of Asian Architecture and Building Engineering, v. 13, n. 1 (Januar 2014).
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