Modeling air quality prediction using a deep learning approach: Method optimization and evaluation W Mao, W Wang, L Jiao, S Zhao, A Liu Sustainable Cities and Society 65, 102567, 2021 | 107 | 2021 |
Estimation of PM2. 5 concentrations in China using a spatial back propagation neural network W Wang, S Zhao, L Jiao, M Taylor, B Zhang, G Xu, H Hou Scientific reports 9 (1), 13788, 2019 | 89 | 2019 |
Assessment of urban land use efficiency in China: A perspective of scaling law L Jiao, Z Xu, G Xu, R Zhao, J Liu, W Wang Habitat international 99, 102172, 2020 | 70 | 2020 |
Delineating urban growth boundaries under multi-objective and constraints W Wang, L Jiao, W Zhang, Q Jia, F Su, G Xu, S Ma Sustainable Cities and Society 61, 102279, 2020 | 60 | 2020 |
Land use optimization modelling with ecological priority perspective for large-scale spatial planning W Wang, L Jiao, Q Jia, J Liu, W Mao, Z Xu, W Li Sustainable Cities and Society 65, 102575, 2021 | 46 | 2021 |
Linking supply-demand balance of ecosystem services to identify ecological security patterns in urban agglomerations Q Jia, L Jiao, X Lian, W Wang Sustainable Cities and Society 92, 104497, 2023 | 36 | 2023 |
Simulating urban dynamics by coupling top-down and bottom-up strategies W Wang, L Jiao, T Dong, Z Xu, G Xu International Journal of Geographical Information Science 33 (11), 2259-2283, 2019 | 27 | 2019 |
A novel recursive model based on a convolutional long short-term memory neural network for air pollution prediction W Wang, W Mao, X Tong, G Xu Remote Sensing 13 (7), 1284, 2021 | 26 | 2021 |
A hybrid integrated deep learning model for predicting various air pollutants W Mao, L Jiao, W Wang, J Wang, X Tong, S Zhao GIScience & Remote Sensing 58 (8), 1395-1412, 2021 | 17 | 2021 |
Multi-spatiotemporal heterogeneous legacy effects of climate on terrestrial vegetation dynamics in China X Lian, L Jiao, Z Liu, Q Jia, J Zhong, M Fang, W Wang GIScience & Remote Sensing 59 (1), 164-183, 2022 | 16 | 2022 |
Long time series ozone prediction in China: A novel dynamic spatiotemporal deep learning approach W Mao, L Jiao, W Wang Building and Environment 218, 109087, 2022 | 12 | 2022 |
A novel method for building displacement based on multipopulation genetic algorithm W Li, T Ai, Y Shen, W Yang, W Wang Applied Sciences 10 (23), 8441, 2020 | 5 | 2020 |
Relationships between urban form and PM2. 5 concentrations from the spatial pattern and process perspective X Tan, Z Zhou, W Wang Building and Environment 234, 110147, 2023 | 4 | 2023 |
山地城镇化建设背景下的土地利用生态风险分析 王卫林, 叶燎原, 杨昆, 朱彦辉, 王桂林 水土保持研究, 358-362, 2016 | 4 | 2016 |
基于百度地图地理信息系统设计与实现——以石油销售服务业为例 王桂林, 杨昆, 杨扬, 李广印, 朱彦辉, 王卫林, 张韶华, 刘涛, 常勇, 宋毅 科技通报 31 (9), 58-61, 2015 | 4 | 2015 |
Identifying Ecological Security Patterns Meeting Future Urban Expansion in Changsha–Zhuzhou–Xiangtan Urban Agglomeration, China W Wang, B Li, F Su, Z Jiang, S Chen Remote Sensing 15 (12), 3141, 2023 | 3 | 2023 |
Indoor interior segmentation with curved surfaces via global energy optimization F Su, H Zhu, L Li, G Zhou, W Rong, X Zuo, W Li, X Wu, W Wang, F Yang, ... Automation in Construction 131, 103886, 2021 | 3 | 2021 |
基于 GIS 和 RUSLE 的洱海流域土壤侵蚀空间特征分析 王卫林, 叶燎原, 杨昆, 王桂林, 苏飞 湖北农业科学 54 (13), 3108-3113, 2015 | 2 | 2015 |
Estimating carbon stock change caused by multi-scenario land-use structure in Urban Agglomeration J Hu, D Yan, W Wang Sustainability 15 (6), 5503, 2023 | 1 | 2023 |
Delineating urban growth boundaries by coupling urban interactions and ecological conservation X Tan, H Yu, X Zhong, W Wang Cities 145, 104712, 2024 | | 2024 |