| ArcGIS 8 Desktop 地理信息系统应用指南 党安荣， 贾海峰， 易善桢， 刘钊 北京: 清华大学出版社 2, 2003 | 398 | 2003 |
| Planning of LID–BMPs for urban runoff control: The case of Beijing Olympic Village H Jia, Y Lu, LY Shaw, Y Chen Separation and purification technology 84, 112-119, 2012 | 279 | 2012 |
| A satellite-based geographically weighted regression model for regional PM2. 5 estimation over the Pearl River Delta region in China W Song, H Jia, J Huang, Y Zhang Remote Sensing of Environment 154, 1-7, 2014 | 277 | 2014 |
| China’s sponge city construction: A discussion on technical approaches H Jia, Z Wang, X Zhen, M Clar, SL Yu Frontiers of Environmental Science & Engineering 11, 1-11, 2017 | 213 | 2017 |
| LID-BMPs planning for urban runoff control and the case study in China H Jia, H Yao, Y Tang, LY Shaw, R Field, AN Tafuri Journal of Environmental Management 149, 65-76, 2015 | 195 | 2015 |
| Comparing accuracy assessments to infer superiority of image classification methods J De Leeuw, H Jia, L Yang, X Liu, K Schmidt, AK Skidmore International Journal of Remote Sensing 27 (1), 223-232, 2006 | 195 | 2006 |
| Assessing the ecological benefits of aggregate LID-BMPs through modelling X Mao, H Jia, LY Shaw Ecological modelling 353, 139-149, 2017 | 156 | 2017 |
| Advances in LID BMPs research and practice for urban runoff control in China H Jia, H Yao, SL Yu Frontiers of Environmental Science & Engineering 7, 709-720, 2013 | 141 | 2013 |
| Sponge city practice in China: A review of construction, assessment, operational and maintenance D Yin, Y Chen, H Jia, Q Wang, Z Chen, C Xu, Q Li, W Wang, Y Yang, G Fu, ... Journal of Cleaner Production 280, 124963, 2021 | 135 | 2021 |
| Development of a multi-criteria index ranking system for urban runoff best management practices (BMPs) selection H Jia, H Yao, Y Tang, SL Yu, JX Zhen, Y Lu Environmental monitoring and assessment 185, 7915-7933, 2013 | 118 | 2013 |
| Life cycle environmental and economic assessment of a LID-BMP treatment train system: A case study in China C Xu, J Hong, H Jia, S Liang, T Xu Journal of Cleaner Production 149, 227-237, 2017 | 102 | 2017 |
| Field monitoring of a LID-BMP treatment train system in China H Jia, X Wang, C Ti, Y Zhai, R Field, AN Tafuri, H Cai, SL Yu Environmental monitoring and assessment 187, 1-18, 2015 | 95 | 2015 |
| Manufacturing industrial structure and pollutant emission: An empirical study of China Z Wang, H Jia, T Xu, C Xu Journal of Cleaner Production 197, 462-471, 2018 | 94 | 2018 |
| SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization: A case study in Tianjin T Xu, H Jia, Z Wang, X Mao, C Xu Frontiers of Environmental Science & Engineering 11, 1-12, 2017 | 92 | 2017 |
| Performance assessment of coupled green-grey-blue systems for Sponge City construction L Leng, X Mao, H Jia, T Xu, AS Chen, D Yin, G Fu Science of the Total Environment 728, 138608, 2020 | 90 | 2020 |
| Integrated 1D and 2D model for better assessing runoff quantity control of low impact development facilities on community scale D Yin, B Evans, Q Wang, Z Chen, H Jia, AS Chen, G Fu, S Ahmad, L Leng Science of the Total Environment 720, 137630, 2020 | 87 | 2020 |
| Water-energy nexus and energy efficiency: A systematic analysis of urban water systems S Ahmad, H Jia, Z Chen, Q Li, C Xu Renewable and Sustainable Energy Reviews 134, 110381, 2020 | 78 | 2020 |
| Benefits of coupled green and grey infrastructure systems: Evidence based on analytic hierarchy process and life cycle costing C Xu, T Tang, H Jia, M Xu, T Xu, Z Liu, Y Long, R Zhang Resources, Conservation and Recycling 151, 104478, 2019 | 77 | 2019 |
| Simulating the spatial dynamics of urban growth with an integrated modeling approach: A case study of Foshan, China Y Han, H Jia Ecological Modelling 353, 107-116, 2017 | 76 | 2017 |
| Progress on environmental and economic evaluation of low-impact development type of best management practices through a life cycle perspective C Xu, M Jia, M Xu, Y Long, H Jia Journal of cleaner production 213, 1103-1114, 2019 | 73 | 2019 |
Guangtao FuProfessor of Water Intelligence, Centre for Water Systems, University of Exeter在 exeter.ac.uk 的电子邮件经过验证
