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Du Qingyun
Du Qingyun
Professor of Geography, Wuhan University
Verified email at whu.edu.cn
Title
Cited by
Cited by
Year
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
2242018
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
1682017
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
1652020
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
1242020
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
1132020
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
1112019
Urban growth pattern modeling using logistic regression
Y Nong, Q Du
Geo-spatial Information Science 14 (1), 62-67, 2011
1082011
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
1022016
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
992018
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
982019
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
932015
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
812015
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
802019
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
702017
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
682019
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
662021
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
632015
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
572020
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
552020
Urban nighttime leisure space mapping with nighttime light images and POI data
J Liu, Y Deng, Y Wang, H Huang, Q Du, F Ren
Remote Sensing 12 (3), 541, 2020
522020
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