| 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 | 281 | 2018 |
| Measuring human perceptions of streetscapes to better inform urban renewal: A perspective of scene semantic parsing X Ma, C Ma, C Wu, Y Xi, R Yang, N Peng, C Zhang, F Ren Cities 110, 103086, 2021 | 219 | 2021 |
| 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 | 206 | 2017 |
| 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 | 143 | 2019 |
| 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 | 113 | 2016 |
| 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 | 111 | 2015 |
| Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China C Wu, Y Ye, F Gao, X Ye Sustainable Cities and Society 88, 104291, 2023 | 85 | 2023 |
| Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green space C Wu, Y Du, S Li, P Liu, X Ye Land Use Policy 115, 106048, 2022 | 71 | 2022 |
| Identifying the spatiotemporal patterns of traditional villages in China: a multiscale perspective C Wu, M Chen, L Zhou, X Liang, W Wang Land 9 (11), 449, 2020 | 55 | 2020 |
| Exploring the influence of urban form on urban vibrancy in shenzhen based on mobile phone data L Tang, Y Lin, S Li, S Li, J Li, F Ren, C Wu Sustainability 10 (12), 4565, 2018 | 55 | 2018 |
| Modeling the spatiotemporal association between COVID‐19 transmission and population mobility using geographically and temporally weighted regression Y Chen, M Chen, B Huang, C Wu, W Shi GeoHealth 5 (5), e2021GH000402, 2021 | 54 | 2021 |
| Urban morphology promotes urban vibrancy from the spatiotemporal and synergetic perspectives: A case study using multisource data in Shenzhen, China S Li, C Wu, Y Lin, Z Li, Q Du Sustainability 12 (12), 4829, 2020 | 53 | 2020 |
| Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China C Wu, N Peng, X Ma, S Li, J Rao Computers, Environment and Urban Systems 84, 101547, 2020 | 51 | 2020 |
| Modified data-driven framework for housing market segmentation C Wu, X Ye, F Ren, Q Du Journal of Urban Planning and Development 144 (4), 04018036, 2018 | 51 | 2018 |
| Using the tensorflow deep neural network to classify mainland China visitor behaviours in Hong Kong from check-in data S Han, F Ren, C Wu, Y Chen, Q Du, X Ye ISPRS International Journal of Geo-Information 7 (4), 158, 2018 | 49 | 2018 |
| Measuring and analysis of urban competitiveness of Chinese provincial capitals in 2010 under the constraints of major function-oriented zoning utilizing spatial analysis Q Du, Y Wang, F Ren, Z Zhao, H Liu, C Wu, L Li, Y Shen Sustainability 6 (6), 3374-3399, 2014 | 41 | 2014 |
| Understanding the effects of influential factors on housing prices by combining extreme gradient boosting and a hedonic price model (XGBoost-HPM) S Li, Y Jiang, S Ke, K Nie, C Wu Land 10 (5), 533, 2021 | 37 | 2021 |
| Data-driven regionalization for analyzing the spatiotemporal characteristics of air quality in China C Wu, W Hu, M Zhou, S Li, Y Jia Atmospheric Environment 203, 172-182, 2019 | 37 | 2019 |
| Measuring urban nighttime vitality and its relationship with urban spatial structure: A data-driven approach C Wu, M Zhao, Y Ye Environment and Planning B: Urban Analytics and City Science 50 (1), 130-145, 2023 | 35 | 2023 |
| Evaluating the effects of landscape on housing prices in urban China Q Du, C Wu, X Ye, F Ren, Y Lin Tijdschrift voor economische en sociale geografie 109 (4), 525-541, 2018 | 32 | 2018 |
Du QingyunProfessor of Geography, Wuhan UniversityEmail yang diverifikasi di whu.edu.cn