| Dynamic LCA framework for environmental impact assessment of buildings S Su, X Li, Y Zhu, B Lin Energy and buildings 149, 310-320, 2017 | 147 | 2017 |
| BIM-DLCA: An integrated dynamic environmental impact assessment model for buildings S Su, Q Wang, L Han, J Hong, Z Liu Building and Environment 183, 107218, 2020 | 83 | 2020 |
| A building information modeling-based tool for estimating building demolition waste and evaluating its environmental impacts S Su, S Li, J Ju, Q Wang, Z Xu Waste Management 134, 159-169, 2021 | 68 | 2021 |
| Assessment models and dynamic variables for dynamic life cycle assessment of buildings: a review S Su, H Zhang, J Zuo, X Li, J Yuan Environmental Science and Pollution Research 28, 26199-26214, 2021 | 53 | 2021 |
| Dynamic assessment elements and their prospective solutions in dynamic life cycle assessment of buildings S Su, X Li, Y Zhu Building and Environment 158, 248-259, 2019 | 53 | 2019 |
| An LCA-based environmental impact assessment model for regulatory planning B Zhang, S Su, Y Zhu, X Li Environmental Impact Assessment Review 83, 106406, 2020 | 41 | 2020 |
| Exploring the psychological mechanism underlying the relationship between organizational interventions and employees’ energy-saving behaviors C Xie, H Ding, H Zhang, J Yuan, S Su, M Tang Energy Policy 156, 112411, 2021 | 36 | 2021 |
| A dynamic weighting system considering temporal variations using the DTT approach in LCA of buildings S Su, C Zhu, X Li Journal of Cleaner Production 220, 398-407, 2019 | 33 | 2019 |
| An integrated environmental and health performance quantification model for pre-occupancy phase of buildings in China X Li, S Su, Z Zhang, X Kong Environmental Impact Assessment Review 63, 1-11, 2017 | 32 | 2017 |
| Dynamic global warming impact assessment integrating temporal variables: Application to a residential building in China S Su, C Zhu, X Li, Q Wang Environmental Impact Assessment Review 88, 106568, 2021 | 29 | 2021 |
| A comparative study of environmental performance between CFST and RC columns under combinations of compression and bending S Su, X Li, T Wang, Y Zhu Journal of Cleaner Production 137, 10-20, 2016 | 28 | 2016 |
| Informativeness‐guided active learning for deep learning–based façade defects detection J Guo, Q Wang, S Su, Y Li Computer‐Aided Civil and Infrastructure Engineering 38 (17), 2408-2425, 2023 | 22 | 2023 |
| Temporal dynamic assessment of household energy consumption and carbon emissions in China: From the perspective of occupants S Su, Y Ding, G Li, X Li, H Li, M Skitmore, V Menadue Sustainable Production and Consumption 37, 142-155, 2023 | 22 | 2023 |
| An environmental impact assessment framework and index system for the pre-use phase of buildings based on distance-to-target approach X Li, S Su, J Shi, Z Zhang Building and Environment 85, 173-181, 2015 | 21 | 2015 |
| Multiple accounting of carbon emission responsibility in the construction sector under different principles: a study from China C Zhu, G Guo, S Su, J Hong, X Li Renewable and Sustainable Energy Reviews 186, 113651, 2023 | 18 | 2023 |
| A comprehensive dynamic life cycle assessment model: considering temporally and spatially dependent variations S Su, J Ju, Y Ding, J Yuan, P Cui International Journal of Environmental Research and Public Health 19 (21), 14000, 2022 | 18 | 2022 |
| How can energy saving culture of a company influence energy behaviors and consumptions in its offices? A simulation and optimization model S Su, J Li, J Yuan, M Tang, E Wang, Y Ding Journal of Building Engineering 58, 105011, 2022 | 17 | 2022 |
| Global warming impact assessment of asphalt pavement by integrating temporal aspects: A dynamic life cycle assessment perspective D Chong, N Wang, S Su, L Li Transportation Research Part D: Transport and Environment 117, 103663, 2023 | 15 | 2023 |
| Dynamic life cycle assessment: a review of research for temporal variations in life cycle assessment studies S Su, X Li, C Zhu, Y Lu, HW Lee Environmental Engineering Science 38 (11), 1013-1026, 2021 | 15 | 2021 |
| Considering critical building materials for embodied carbon emissions in buildings: A machine learning-based prediction model and tool S Su, Z Zang, J Yuan, X Pan, M Shan Case Studies in Construction Materials 20, 2024 | 11 | 2024 |