Runming Yao 
- (2024): An improved approach for solving the adaptive coefficient in the aPMV (adaptive predictive mean vote) index. Dans: Building and Environment, v. 256 (mai 2024).
- (2024): Prediction of occupant thermal state via infrared thermography and explainable AI. Dans: Energy and Buildings, v. 312 (juin 2024).
- (2024): Machine learning-based approach to predict thermal comfort in mixed-mode buildings: Incorporating adaptive behaviors. Dans: Journal of Building Engineering, v. 87 (juin 2024).
- (2023): The impact of heatwaves on human perceived thermal comfort and thermal resilience potential in urban public open spaces. Dans: Building and Environment, v. 242 (août 2023).
- (2023): A quantitative evaluation model of outdoor dynamic thermal comfort and adaptation: A year-long longitudinal field study. Dans: Building and Environment, v. 237 (juin 2023).
- (2022): A method of predicting the dynamic thermal sensation under varying outdoor heat stress conditions in summer. Dans: Building and Environment, v. 223 (septembre 2022).
- (2022): Indoor air quality and health in schools: A critical review for developing the roadmap for the future school environment. Dans: Journal of Building Engineering, v. 57 (octobre 2022).
- (2021): Modelling heating and cooling energy demand for building stock using a hybrid approach. Dans: Energy and Buildings, v. 235 (mars 2021).
- (2015): An integrated study of urban microclimates in Chongqing, China: Historical weather data, transverse measurement and numerical simulation. Dans: Sustainable Cities and Society, v. 14 (février 2015).
- (2018): A preliminary study on post-occupancy evaluation of four office buildings in the UK based on the Analytic Hierarchy Process. Dans: Intelligent Buildings International, v. 10, n. 4 (septembre 2018).
- (2014): A review of existing building benchmarks and the development of a set of reference office buildings for England and Wales. Dans: Intelligent Buildings International, v. 6, n. 1 (janvier 2014).
- (2010): A model of intelligent building energy management for the indoor environment. Dans: Intelligent Buildings International, v. 2, n. 1 (janvier 2010).
- (2005): A method of formulating energy load profile for domestic buildings in the UK. Dans: Energy and Buildings, v. 37, n. 6 (juin 2005).
- (2007): An investigation of the existing situation and trends in building energy efficiency management in China. Dans: Energy and Buildings, v. 39, n. 10 (octobre 2007).
- (2010): Part load operation coefficient of air-conditioning system of public building. Dans: Energy and Buildings, v. 42, n. 10 (octobre 2010).
- (2012): A method to weight three categories of adaptive thermal comfort. Dans: Energy and Buildings, v. 47 (avril 2012).
- (2014): An introduction to the Chinese Evaluation Standard for the indoor thermal environment. Dans: Energy and Buildings, v. 82 (octobre 2014).
- (2016): A multidimensional model for green building assessment: A case study of a highest-rated project in Chongqing. Dans: Energy and Buildings, v. 125 (août 2016).
- (2021): A holistic investigation into the seasonal and temporal variations of window opening behavior in residential buildings in Chongqing, China. Dans: Energy and Buildings, v. 231 (janvier 2021).
- (2018): A modified method of evaluating the impact of air humidity on human acceptable air temperatures in hot-humid environments. Dans: Energy and Buildings, v. 158 (janvier 2018).
- (2020): How do urban residents use energy for winter heating at home? A large-scale survey in the hot summer and cold winter climate zone in the Yangtze River region. Dans: Energy and Buildings, v. 223 (septembre 2020).
- (2020): A method to identify individually physiological response differences to heat exposure using Comprehensive Deviation Coefficient (CDC). Dans: Energy and Buildings, v. 217 (juin 2020).
- (2019): Particle removal efficiency of a household portable air cleaner in real-world residences: A single-blind cross-over field study. Dans: Energy and Buildings, v. 203 (novembre 2019).
- (2019): Quantification of personal thermal comfort with localized airflow system based on sensitivity analysis and classification tree model. Dans: Energy and Buildings, v. 194 (juillet 2019).
- (2019): Modification of the Predicted Heat Strain (PHS) model in predicting human thermal responses for Chinese workers in hot environments. Dans: Building and Environment, v. 165 (novembre 2019).
- (2019): Moisture in clothing and its transient influence on human thermal responses through clothing microenvironment in cold environments in winter. Dans: Building and Environment, v. 150 (mars 2019).
- (2019): An investigation of formaldehyde concentration in residences and the development of a model for the prediction of its emission rates. Dans: Building and Environment, v. 147 (janvier 2019).
- (2018): Influence of human thermal adaptation and its development on human thermal responses to warm environments. Dans: Building and Environment, v. 139 (juillet 2018).
- (2016): Modelling personal thermal sensations using C-Support Vector Classification (C-SVC) algorithm. Dans: Building and Environment, v. 99 (avril 2016).
- (2015): A method of evaluating the accuracy of human body thermoregulation models. Dans: Building and Environment, v. 87 (mai 2015).
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