| A review of sensitivity analysis methods in building energy analysis W Tian Renewable and Sustainable Energy Reviews 20, 411-419, 2013 | 1125 | 2013 |
| A review of uncertainty analysis in building energy assessment W Tian, Y Heo, P De Wilde, Z Li, D Yan, CS Park, X Feng, G Augenbroe Renewable and Sustainable Energy Reviews 93, 285-301, 2018 | 468 | 2018 |
| Uncertainty and sensitivity analysis of building performance using probabilistic climate projections: A UK case study W Tian, P De Wilde Automation in Construction, 2011 | 219 | 2011 |
| Influence of a building's integrated-photovoltaics on heating and cooling loads Y Wang, W Tian, J Ren, L Zhu, Q Wang Applied energy 83 (9), 989-1003, 2006 | 189 | 2006 |
| Predicting the performance of an office under climate change: A study of metrics, sensitivity and zonal resolution P De Wilde, W Tian Energy and Buildings 42 (10), 1674-1684, 2010 | 156 | 2010 |
| A Probabilistic Energy Model for Non-Domestic Building Sectors Applied to Analysis of School Buildings in Greater London DW Tian, DR Choudhary Energy and Buildings, 2012 | 150 | 2012 |
| Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change P de Wilde, W Tian Building Simulation 2 (3), 157-174, 2009 | 138 | 2009 |
| Effect of urban climate on building integrated photovoltaics performance W Tian, Y Wang, J Ren, L Zhu Energy conversion and management 48 (1), 1-8, 2007 | 136 | 2007 |
| Identifying informative energy data in Bayesian calibration of building energy models W Tian, S Yang, Z Li, S Wei, W Pan, Y Liu Energy and Buildings 119, 363-376, 2016 | 108 | 2016 |
| Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis W Tian, J Song, Z Li, P de Wilde Applied Energy 135, 320-328, 2014 | 103 | 2014 |
| Comparison of sensitivity analysis methods in building energy assessment S Yang, W Tian, E Cubi, QX Meng, YL Liu, L Wei Procedia Engineering 146, 174-181, 2016 | 90 | 2016 |
| Longitudinal prediction of the operational energy use of buildings P de Wilde, W Tian, G Augenbroe Building and Environment, 2011 | 88 | 2011 |
| Spatial regression analysis of domestic energy in urban areas W Tian, J Song, Z Li Energy 76, 629-640, 2014 | 80 | 2014 |
| Effect of building integrated photovoltaics on microclimate of urban canopy layer W Tian, Y Wang, Y Xie, D Wu, L Zhu, J Ren Building and environment 42 (5), 1891-1901, 2007 | 79 | 2007 |
| Management of thermal performance risks in buildings subject to climate change P de Wilde, W Tian Building and Environment, 2012 | 70 | 2012 |
| Comparative study on machine learning for urban building energy analysis L Wei, W Tian, EA Silva, R Choudhary, QX Meng, S Yang Procedia Engineering 121, 285-292, 2015 | 69 | 2015 |
| Importance analysis and meta-model construction with correlated variables in evaluation of thermal performance of campus buildings W Tian, R Choudhary, G Augenbroe, SH Lee Building and Environment 92, 61-74, 2015 | 64 | 2015 |
| Household electricity use, electric vehicle home-charging and distributed photovoltaic power production in the city of Westminster J Munkhammar, JDK Bishop, JJ Sarralde, W Tian, R Choudhary Energy and Buildings 86, 439-448, 2015 | 64 | 2015 |
| Uncertainty calibration of building energy models by combining approximate Bayesian computation and machine learning algorithms C Zhu, W Tian, B Yin, Z Li, J Shi Applied Energy 268, 115025, 2020 | 63 | 2020 |
| Uncertainty and sensitivity analysis of energy assessment for office buildings based on Dempster-Shafer theory W Tian, P de Wilde, Z Li, J Song, B Yin Energy Conversion and Management 174, 705-718, 2018 | 61 | 2018 |
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