| Effects of the spatial configuration of trees on urban heat mitigation: A comparative study W Zhou, J Wang, ML Cadenasso Remote Sensing of Environment 195, 1-12, 2017 | 430 | 2017 |
| Patch size of trees affects its cooling effectiveness: A perspective from shading and transpiration processes M Jiao, W Zhou, Z Zheng, J Wang, Y Qian Agricultural and Forest Meteorology 247, 293-299, 2017 | 105 | 2017 |
| The higher, the cooler? Effects of building height on land surface temperatures in residential areas of Beijing Z Zheng, W Zhou, J Yan, Y Qian, J Wang, W Li Physics and Chemistry of the Earth, Parts A/B/C 110, 149-156, 2019 | 101 | 2019 |
| Urban tree canopy has greater cooling effects in socially vulnerable communities in the US W Zhou, G Huang, STA Pickett, J Wang, ML Cadenasso, T McPhearson, ... One Earth 4 (12), 1764-1775, 2021 | 75 | 2021 |
| Significant effects of ecological context on urban trees’ cooling efficiency J Wang, W Zhou, M Jiao, Z Zheng, T Ren, Q Zhang ISPRS journal of photogrammetry and remote sensing 159, 78-89, 2020 | 57 | 2020 |
| Beyond intensity of urban heat island effect: A continental scale analysis on land surface temperature in major Chinese cities T Ren, W Zhou, J Wang Science of the Total Environment 791, 148334, 2021 | 54 | 2021 |
| Urban sprawl in a megaregion: A multiple spatial and temporal perspective W Zhou, M Jiao, W Yu, J Wang Ecological indicators 96, 54-66, 2019 | 54 | 2019 |
| Location matters: planting urban trees in the right places improves cooling J Wang, W Zhou, M Jiao Frontiers in Ecology and the Environment 20 (3), 147-151, 2022 | 41 | 2022 |
| Sixty-year changes in residential landscapes in Beijing: a perspective from both the horizontal (2D) and vertical (3D) dimensions Z Zheng, W Zhou, J Wang, X Hu, Y Qian Remote Sensing 9 (10), 992, 2017 | 37 | 2017 |
| Time-series analysis reveals intensified urban heat island effects but without significant urban warming J Wang, W Zhou, J Wang Remote Sensing 11 (19), 2229, 2019 | 35 | 2019 |
| Spatial distribution of urban greenspace in response to urban development from a multi-scale perspective J Wang, W Zhou, J Wang, W Yu Environmental research letters 15 (6), 064031, 2020 | 31 | 2020 |
| Characterizing variations of greenspace landscapes in relation to neighborhood characteristics in urban residential area of Beijing, China J Yan, W Zhou, Z Zheng, J Wang, Y Tian Landscape ecology 35, 203-222, 2020 | 26 | 2020 |
| From quantity to quality: enhanced understanding of the changes in urban greenspace J Wang, W Zhou, J Wang, Y Qian Landscape Ecology 34, 1145-1160, 2019 | 26 | 2019 |
| Optimizing the shade potential of trees by accounting for landscape context M Jiao, W Zhou, Z Zheng, J Yan, J Wang Sustainable Cities and Society 70, 102905, 2021 | 22 | 2021 |
| Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas M Jiao, H Xue, J Yan, Z Zheng, J Wang, C Zhao, L Zhang, W Zhou Ecological Indicators 125, 107462, 2021 | 19 | 2021 |
| Interactions among spatial configuration aspects of urban tree canopy significantly affect its cooling effects J Wang, W Zhou, Z Zheng, M Jiao, Y Qian Science of The Total Environment 864, 160929, 2023 | 12 | 2023 |
| Urban expansion weakens the contribution of local land cover to urban warming J Cao, W Zhou, W Yu, X Hu, M Yu, J Wang, J Wang Urban Climate 45, 101285, 2022 | 11 | 2022 |
| Relationship between land surface temperature and land cover types based on GWR model: A case of Beijing-Tianjin-Tangshan urban agglomeration, China. J Wang, YG Qian, LJ Han, WQ Zhou Ying Yong Sheng tai xue bao= The Journal of Applied Ecology 27 (7), 2128-2136, 2016 | 10 | 2016 |
| Trajectory big data reveals spatial disparity of healthcare accessibility at the residential neighborhood scale C Jing, W Zhou, Y Qian, Z Zheng, J Wang, W Yu Cities 133, 104127, 2023 | 7 | 2023 |
| Quantifying urban vegetation dynamics from a process perspective using temporally dense Landsat imagery W Yu, W Zhou, Z Dawa, J Wang, Y Qian, W Wang Remote Sensing 13 (16), 3217, 2021 | 7 | 2021 |
