| Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China C Wu, X Ye, F Ren, Q Du Cities 77, 104-116, 2018 | 256 | 2018 |
| Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning L Feng, Z Zhang, Y Ma, Q Du, P Williams, J Drewry, B Luck Remote Sensing 12 (12), 2028, 2020 | 195 | 2020 |
| Spatial effects of accessibility to parks on housing prices in Shenzhen, China C Wu, X Ye, Q Du, P Luo Habitat International 63, 45-54, 2017 | 186 | 2017 |
| A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China Y Wang, L Feng, S Li, F Ren, Q Du Catena 188, 104425, 2020 | 155 | 2020 |
| Combining multi-source data and machine learning approaches to predict winter wheat yield in the conterminous United States Y Wang, Z Zhang, L Feng, Q Du, T Runge Remote Sensing 12 (8), 1232, 2020 | 128 | 2020 |
| Multiscale geographically and temporally weighted regression: Exploring the spatiotemporal determinants of housing prices C Wu, F Ren, W Hu, Q Du International Journal of Geographical Information Science 33 (3), 489-511, 2019 | 128 | 2019 |
| Urban growth pattern modeling using logistic regression Y Nong, Q Du Geo-spatial Information Science 14 (1), 62-67, 2011 | 117 | 2011 |
| Dongting lake water level forecast and its relationship with the three gorges dam based on a long short-term memory network C Liang, H Li, M Lei, Q Du Water 10 (10), 1389, 2018 | 112 | 2018 |
| Spatial and social media data analytics of housing prices in Shenzhen, China C Wu, X Ye, F Ren, Y Wan, P Ning, Q Du PloS one 11 (10), e0164553, 2016 | 106 | 2016 |
| Robust registration for remote sensing images by combining and localizing feature-and area-based methods R Feng, Q Du, X Li, H Shen ISPRS Journal of Photogrammetry and Remote Sensing 151, 15-26, 2019 | 103 | 2019 |
| Urban land expansion and sustainable land use policy in Shenzhen: A case study of China’s rapid urbanization J Qian, Y Peng, C Luo, C Wu, Q Du Sustainability 8 (1), 16, 2015 | 102 | 2015 |
| A new attention-based CNN approach for crop mapping using time series Sentinel-2 images Y Wang, Z Zhang, L Feng, Y Ma, Q Du Computers and electronics in agriculture 184, 106090, 2021 | 93 | 2021 |
| Optimizing the predictive ability of machine learning methods for landslide susceptibility mapping using SMOTE for Lishui City in Zhejiang Province, China Y Wang, X Wu, Z Chen, F Ren, L Feng, Q Du International journal of environmental research and public health 16 (3), 368, 2019 | 90 | 2019 |
| A network-constrained integrated method for detecting spatial cluster and risk location of traffic crash: A case study from Wuhan, China K Nie, Z Wang, Q Du, F Ren, Q Tian Sustainability 7 (3), 2662-2677, 2015 | 86 | 2015 |
| Assessing spatial accessibility to hierarchical urban parks by multi-types of travel distance in Shenzhen, China L Li, Q Du, F Ren, X Ma International journal of environmental research and public health 16 (6), 1038, 2019 | 76 | 2019 |
| A mobile outdoor augmented reality method combining deep learning object detection and spatial relationships for geovisualization J Rao, Y Qiao, F Ren, J Wang, Q Du Sensors 17 (9), 1951, 2017 | 75 | 2017 |
| An improved spatial error model for the mass appraisal of commercial real estate based on spatial analysis: Shenzhen as a case study R Zhang, Q Du, J Geng, B Liu, Y Huang Habitat International 46, 196-205, 2015 | 73 | 2015 |
| Geographically and temporally weighted neural network for winter wheat yield prediction L Feng, Y Wang, Z Zhang, Q Du Remote Sensing of Environment 262, 112514, 2021 | 71 | 2021 |
| Analysing the spatial configuration of urban bus networks based on the geospatial network analysis method Y Wang, Y Deng, F Ren, R Zhu, P Wang, T Du, Q Du Cities 96, 102406, 2020 | 67 | 2020 |
| Estimating hourly and continuous ground-level PM2. 5 concentrations using an ensemble learning algorithm: The ST-stacking model L Feng, Y Li, Y Wang, Q Du Atmospheric Environment 223, 117242, 2020 | 61 | 2020 |
