| The effect of natural and anthropogenic factors on haze pollution in Chinese cities: A spatial econometrics approach H Liu, C Fang, Z Xiaoling, Z Wang, C Bao, F Li Journal of Cleaner Production 165, 323-333, 2017 | 290 | 2017 |
| Social media analytics for natural disaster management Z Wang, X Ye International Journal of Geographical Information Science 32 (1), 49-72, 2018 | 275 | 2018 |
| Spatial, temporal, and content analysis of Twitter for wildfire hazards Z Wang, X Ye, MH Tsou Natural Hazards 83, 523-540, 2016 | 237 | 2016 |
| Land use transitions and the associated impacts on ecosystem services in the Middle Reaches of the Yangtze River Economic Belt in China based on the geo-informatic Tupu method W Chen, H Zhao, J Li, L Zhu, Z Wang, J Zeng Science of the total environment 701, 134690, 2020 | 161 | 2020 |
| Spatiotemporal dynamics of carbon intensity from energy consumption in China Y Cheng, Z Wang, X Ye, YD Wei Journal of Geographical Sciences 24, 631-650, 2014 | 140 | 2014 |
| Are vulnerable communities digitally left behind in social responses to natural disasters? An evidence from Hurricane Sandy with Twitter data Z Wang, NSN Lam, N Obradovich, X Ye Applied geography 108, 1-8, 2019 | 99 | 2019 |
| Re-examining environmental Kuznets curve for China’s city-level carbon dioxide (CO2) emissions Z Wang, X Ye Spatial Statistics 21, 377-389, 2017 | 71 | 2017 |
| Use of Twitter in disaster rescue: lessons learned from Hurricane Harvey VV Mihunov, NSN Lam, L Zou, Z Wang, K Wang International Journal of Digital Earth 13 (12), 1454-1466, 2020 | 65 | 2020 |
| Multiscale analysis of factors affecting food security in China, 1980–2017 F Lv, L Deng, Z Zhang, Z Wang, Q Wu, J Qiao Environmental Science and Pollution Research 29 (5), 6511-6525, 2022 | 55 | 2022 |
| Space, time, and situational awareness in natural hazards: A case study of Hurricane Sandy with social media data Z Wang, X Ye Cartography and Geographic Information Science 46 (4), 334-346, 2019 | 55 | 2019 |
| Comparing mobility patterns between residents and visitors using geo‐tagged social media data Q Liu, Z Wang, X Ye Transactions in GIS 22 (6), 1372-1389, 2018 | 43 | 2018 |
| Extending getis–ord statistics to account for local space–time autocorrelation in spatial panel data Z Wang, NSN Lam The Professional Geographer 72 (3), 411-420, 2020 | 36 | 2020 |
| A spatial econometric modeling of online social interactions using microblogs Z Wang, X Ye, J Lee, X Chang, H Liu, Q Li Computers, Environment and Urban Systems 70, 53-58, 2018 | 34 | 2018 |
| Spatiotemporal characteristics of urban surface temperature and its relationship with landscape metrics and vegetation cover in rapid urbanization region H Zhao, J Tan, Z Ren, Z Wang Complexity 2020 (1), 7892362, 2020 | 28 | 2020 |
| Analyzing the Space–Time Dynamics of Innovation in China: ESDA and Spatial Panel Approaches Z Wang, Y Cheng, X Ye, YHD Wei Growth and Change 47 (1), 111-129, 2016 | 28 | 2016 |
| Measuring the sustainable urbanization potential of cities in Northeast China S Liu, P Zhang, Z Wang, W Liu, J Tan Journal of Geographical Sciences 26, 549-567, 2016 | 21 | 2016 |
| Changing rural development inequality in Jilin Province, northeast China Y Cheng, Y Wang, Z Wang, X Luo Chinese Geographical Science 23, 620-633, 2013 | 19 | 2013 |
| Underlying the influencing factors behind the heterogeneous change of urban landscape patterns since 1990: A multiple dimension analysis L Deng, Q Zhang, Y Cheng, Q Cao, Z Wang, Q Wu, J Qiao Ecological Indicators 140, 108967, 2022 | 18 | 2022 |
| Identifying Spatiotemporal Heterogeneity of PM2.5 Concentrations and the Key Influencing Factors in the Middle and Lower Reaches of the Yellow River H Zhao, Y Liu, T Gu, H Zheng, Z Wang, D Yang Remote Sensing 14 (11), 2643, 2022 | 14 | 2022 |
| Observing the silent world under COVID-19 with a comprehensive impact analysis based on human mobility S Wang, Y Tong, Y Fan, H Liu, J Wu, Z Wang, C Fang Scientific Reports 11 (1), 14691, 2021 | 14 | 2021 |
