| Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns F Zhang, D Zhu, L Wu, Y Liu ISPRS Journal of Photogrammetry and Remote Sensing 153, 48-58, 2019 | 158 | 2019 |
| Spatial interpolation using conditional generative adversarial neural networks D Zhu, X Cheng, F Zhang, X Yao, Y Gao, Y Liu International Journal of Geographical Information Science 34 (4), 735-758, 2020 | 139 | 2020 |
| Understanding place characteristics in geographic contexts through graph convolutional neural networks D Zhu, F Zhang, S Wang, Y Wang, X Cheng, Z Huang, Y Liu Annals of the American Association of Geographers 110 (2), 408-420, 2020 | 122 | 2020 |
| Uncovering inconspicuous places using social media check-ins and street view images F Zhang, J Zu, M Hu, D Zhu, Y Kang, S Gao, Y Zhang, Z Huang Computers, Environment and Urban Systems 81, 101478, 2020 | 113 | 2020 |
| Street as a big geo-data assembly and analysis unit in urban studies: A case study using Beijing taxi data D Zhu, N Wang, L Wu, Y Liu Applied Geography 86, 152-164, 2017 | 89 | 2017 |
| Spatial origin-destination flow imputation using graph convolutional networks X Yao, Y Gao, D Zhu, E Manley, J Wang, Y Liu IEEE Transactions on Intelligent Transportation Systems 22 (12), 7474-7484, 2020 | 73 | 2020 |
| Inferring spatial interaction patterns from sequential snapshots of spatial distributions D Zhu, Z Huang, L Shi, L Wu, Y Liu International Journal of Geographical Information Science 32 (4), 783-805, 2018 | 60 | 2018 |
| A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data L Wu, X Cheng, C Kang, D Zhu, Z Huang, Y Liu International Journal of Digital Earth 13 (6), 708-726, 2020 | 49 | 2020 |
| A stepwise spatio-temporal flow clustering method for discovering mobility trends X Yao, D Zhu, Y Gao, L Wu, P Zhang, Y Liu Ieee Access 6, 44666-44675, 2018 | 48 | 2018 |
| Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions D Zhu, Y Liu, X Yao, MM Fischer GeoInformatica 26 (4), 645-676, 2022 | 40 | 2022 |
| Quantifying the scale effect in geospatial big data using semi-variograms L Chen, Y Gao, D Zhu, Y Yuan, Y Liu PloS one 14 (11), e0225139, 2019 | 40 | 2019 |
| Mapping human activity volumes through remote sensing imagery X Xing, Z Huang, X Cheng, D Zhu, C Kang, F Zhang, Y Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 37 | 2020 |
| Terrain feature-aware deep learning network for digital elevation model superresolution Y Zhang, W Yu, D Zhu ISPRS Journal of Photogrammetry and Remote Sensing 189, 143-162, 2022 | 34 | 2022 |
| Analytical methods and applications of spatial interactions in the era of big data Y Liu, X Yao, Y Gong, C Kang, X Shi, F Wang, J Wang, Y Zhang, P Zhao, ... Acta Geographica Sinica 75 (7), 1523-1538, 2020 | 32* | 2020 |
| Sensing population distribution from satellite imagery via deep learning: Model selection, neighboring effects, and systematic biases X Huang, D Zhu, F Zhang, T Liu, X Li, L Zou IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 28 | 2021 |
| Revealing the spatial shifting pattern of COVID-19 pandemic in the United States D Zhu, X Ye, S Manson Scientific reports 11 (1), 8396, 2021 | 27 | 2021 |
| Visualizing spatial interaction characteristics with direction-based pattern maps X Yao, L Wu, D Zhu, Y Gao, Y Liu Journal of Visualization, 1-15, 2019 | 21 | 2019 |
| 集成多源地理大数据感知城市空间分异格局 刘瑜， 詹朝晖， 朱递， 柴彦威， 马修军， 邬伦 武汉大学学报 (信息科学版) 43 (3), 327-335, 2018 | 20 | 2018 |
| A generalized heterogeneity model for spatial interpolation P Luo, Y Song, D Zhu, J Cheng, L Meng International Journal of Geographical Information Science 37 (3), 634-659, 2023 | 19 | 2023 |
| The scale effect on spatial interaction patterns: An empirical study using taxi OD data of Beijing and Shanghai S Zhang, D Zhu, X Yao, X Cheng, H He, Y Liu Ieee Access 6, 51994-52003, 2018 | 18 | 2018 |
Yu LiuPeking University在 urban.pku.edu.cn 的电子邮件经过验证
