| The impact of roadside trees on traffic released PM10 in urban street canyon: Aerodynamic and deposition effects F Xue, X Li Sustainable cities and society 30, 195-204, 2017 | 121 | 2017 |
| Bayesian source term estimation of atmospheric releases in urban areas using LES approach F Xue, H Kikumoto, X Li, R Ooka Journal of hazardous materials 349, 68-78, 2018 | 58 | 2018 |
| Double-skin façade optimization design for different climate zones in China Z Su, X Li, F Xue Solar Energy 155, 281-290, 2017 | 57 | 2017 |
| A fast assessment method for thermal performance of naturally ventilated double-skin façades during cooling season F Xue, X Li Solar Energy 114, 303-313, 2015 | 49 | 2015 |
| Turbulent Schmidt number for source term estimation using Bayesian inference F Xue, X Li, R Ooka, H Kikumoto, W Zhang Building and Environment 125, 414-422, 2017 | 34 | 2017 |
| Modeling the influence of fountain on urban microclimate F Xue, X Li, J Ma, Z Zhang Building Simulation 8, 285-295, 2015 | 23 | 2015 |
| Bayesian identification of a single tracer source in an urban-like environment using a deterministic approach F Xue, X Li, W Zhang Atmospheric Environment 164, 128-138, 2017 | 20 | 2017 |
| A novel control logic for fan coil unit considering both room temperature and humidity control Z Chen, F Xue, F Wang Building Simulation 8, 27-37, 2015 | 16 | 2015 |
| Bayesian inversion of inflow direction and speed in urban dispersion simulations X Li, F Xue Building and Environment 144, 555-564, 2018 | 15 | 2018 |
| Study on the influence on natural ventilation caused by different building densities F Xue | 4 | 2013 |
| The Impact of Turbulent Schmidt number on Source Term Estimation Using Bayesian Inference F Xue, X Li, R Ooka, H Kikumoto, W Zhang The University of Auckland, 2017 | | 2017 |
| A FAST CALCULATION METHOD FOR INDOOR HEAT GAIN OF EXTERNAL RESPIRATION DOUBLE-SKIN FAÇADES IN COOLING SEASON F XUE, X LI | | |
| A NOVEL NUMERICAL MODEL FOR THE THERMAL IMPACT OF FOUNTAINS F Xue, X Li | | |
Hideki KikumotoInstitute of Industrial Science, The University of Tokyo確認したメール アドレス: iis.u-tokyo.ac.jp
