| Spatiotemporal evolution of global population ageing from 1960 to 2017 J Li, X Han, X Zhang, S Wang BMC public health 19, 1-15, 2019 | 118 | 2019 |
| A practical split-window algorithm for retrieving land surface temperature from Landsat-8 data and a case study of an urban area in China M Jin, J Li, C Wang, R Shang Remote sensing 7 (4), 4371-4390, 2015 | 86 | 2015 |
| Globally analysing spatiotemporal trends of anthropogenic PM2. 5 concentration and population's PM2. 5 exposure from 1998 to 2016 J Li, X Han, M Jin, X Zhang, S Wang Environment international 128, 46-62, 2019 | 66 | 2019 |
| Assessing impacts and determinants of China's environmental protection tax on improving air quality at provincial level based on Bayesian statistics F Han, J Li Journal of Environmental Management 271, 111017, 2020 | 48 | 2020 |
| Spatiotemporal evolution of the remotely sensed global continental PM2. 5 concentration from 2000-2014 based on Bayesian statistics J Li, N Wang, J Wang, H Li Environmental pollution 238, 471-481, 2018 | 28 | 2018 |
| Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model J Li, M Jin, H Li International Journal of Environmental Research and Public Health 16 (3), 454, 2019 | 22 | 2019 |
| Spatiotemporal evolution of Chinese ageing from 1992 to 2015 based on an improved Bayesian space-time model X Han, J Li, N Wang BMC public health 18, 1-10, 2018 | 22 | 2018 |
| Spatiotemporal Patterns of Ground Monitored PM2.5 Concentrations in China in Recent Years J Li, X Han, X Li, J Yang, X Li International Journal of Environmental Research and Public Health 15 (1), 114, 2018 | 22 | 2018 |
| Spatiotemporal matching between medical resources and population ageing in China from 2008 to 2017 J Li, X Chen, X Han, G Zhang BMC Public Health 20, 1-13, 2020 | 19 | 2020 |
| Spatiotemporal trends and ecological determinants in maternal mortality ratios in 2,205 Chinese counties, 2010–2013: A Bayesian modelling analysis J Li, J Liang, J Wang, Z Ren, D Yang, Y Wang, Y Mu, X Li, M Li, Y Guo, ... PLoS medicine 17 (5), e1003114, 2020 | 16 | 2020 |
| Spatiotemporal trends and influence factors of global diabetes prevalence in recent years J Li, S Wang, X Han, G Zhang, M Zhao, L Ma Social science & medicine 256, 113062, 2020 | 15 | 2020 |
| Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model J Li, M Jin, Z Xu International Journal of Environmental Research and Public Health 13 (8), 772, 2016 | 13 | 2016 |
| Spatiotemporal variation and determinants of population’s PM2.5 exposure risk in China, 1998–2017: a case study of the Beijing-Tianjin-Hebei region N Jin, J Li, M Jin, X Zhang Environmental Science and Pollution Research 27, 31767-31777, 2020 | 12 | 2020 |
| Environmental Protection Tax Effect on Reducing PM2. 5 Pollution in China and Its Influencing Factors. F Han, J Li Polish Journal of Environmental Studies 30 (1), 2021 | 9 | 2021 |
| Exploring spatial trends and influencing factors for gastric cancer based on Bayesian statistics: a case study of Shanxi, China G Zhang, J Li, S Li, Y Wang International Journal of Environmental Research and Public Health 15 (9), 1824, 2018 | 8 | 2018 |
| A Bayesian space–time hierarchical model for remotely sensed lattice data based on multiscale homogeneous statistical units J Li, J Wang, N Wang, H Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 5 | 2018 |
| Spatiotemporal Evolution and Drivers of Total Health Expenditure across Mainland China in Recent Years J Li, X Han International Journal of Environmental Research and Public Health 20 (1), 597, 2022 | 1 | 2022 |
