| Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China X Liang, Q Guan, KC Clarke, S Liu, B Wang, Y Yao Computers, Environment and Urban Systems 85, 101569, 2021 | 1078 | 2021 |
| Climate variability has a stabilizing effect on the coexistence of prairie grasses PB Adler, J HilleRisLambers, PC Kyriakidis, Q Guan, JM Levine Proceedings of the National Academy of Sciences 103 (34), 12793-12798, 2006 | 363 | 2006 |
| A human-machine adversarial scoring framework for urban perception assessment using street-view images Y Yao, Z Liang, Z Yuan, P Liu, Y Bie, J Zhang, R Wang, J Wang, Q Guan International Journal of Geographical Information Science 33 (12), 2363-2384, 2019 | 282 | 2019 |
| Land-use/land-cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery Q Zhu, X Guo, W Deng, S Shi, Q Guan, Y Zhong, L Zhang, D Li ISPRS Journal of Photogrammetry and Remote Sensing 184, 63-78, 2022 | 219 | 2022 |
| A global context-aware and batch-independent network for road extraction from VHR satellite imagery Q Zhu, Y Zhang, L Wang, Y Zhong, Q Guan, X Lu, L Zhang, D Li ISPRS Journal of Photogrammetry and Remote Sensing 175, 353-365, 2021 | 211 | 2021 |
| A general-purpose parallel raster processing programming library test application using a geographic cellular automata model Q Guan, KC Clarke International Journal of Geographical Information Science 24 (5), 695-722, 2010 | 164 | 2010 |
| Understanding spatio-temporal patterns of land use/land cover change under urbanization in Wuhan, China, 2000–2019 H Zhai, C Lv, W Liu, C Yang, D Fan, Z Wang, Q Guan Remote Sensing 13 (16), 3331, 2021 | 154 | 2021 |
| A spectral-spatial-dependent global learning framework for insufficient and imbalanced hyperspectral image classification Q Zhu, W Deng, Z Zheng, Y Zhong, Q Guan, W Lin, L Zhang, D Li IEEE Transactions on Cybernetics 52 (11), 11709-11723, 2021 | 146 | 2021 |
| An artificial-neural-network-based, constrained CA model for simulating urban growth Q Guan, L Wang, KC Clarke Cartography and Geographic Information Science 32 (4), 369-380, 2005 | 133 | 2005 |
| Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures X Liang, Q Guan, KC Clarke, G Chen, S Guo, Y Yao Landscape and Urban Planning 205, 103960, 2021 | 122 | 2021 |
| Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata Y Zhai, Y Yao, Q Guan, X Liang, X Li, Y Pan, H Yue, Z Yuan, J Zhou International Journal of Geographical Information Science 34 (7), 1475-1499, 2020 | 117 | 2020 |
| Knowledge-guided land pattern depiction for urban land use mapping: A case study of Chinese cities Q Zhu, Y Lei, X Sun, Q Guan, Y Zhong, L Zhang, D Li Remote Sensing of Environment 272, 112916, 2022 | 94 | 2022 |
| Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique L Dai, C Zheng, Z Dong, Y Yao, R Wang, X Zhang, S Ren, J Zhang, ... City and Environment Interactions 11, 100069, 2021 | 94 | 2021 |
| Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line--based on nighttime light data and cellular automata D Chen, Y Zhang, Y Yao, Y Hong, Q Guan, W Tu Applied Geography 112, 102081, 2019 | 89 | 2019 |
| Exploring Land use and Land cover change in themining areas of Wa East District, Ghana usingSatellite Imagery PL Basommi, Q Guan, D Cheng Open Geosciences 7 (1), 20150058, 2015 | 85 | 2015 |
| Dynamics of land use change in a mining area: a case study of Nadowli District, Ghana LP Basommi, Q Guan, D Cheng, SK Singh Journal of mountain science 13, 633-642, 2016 | 78 | 2016 |
| Oil spill contextual and boundary-supervised detection network based on marine SAR images Q Zhu, Y Zhang, Z Li, X Yan, Q Guan, Y Zhong, L Zhang, D Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2021 | 75 | 2021 |
| A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures Q Guan, X Shi, M Huang, C Lai International Journal of Geographical Information Science 30 (3), 494-514, 2016 | 73 | 2016 |
| Discovering the homogeneous geographic domain of human perceptions from street view images Y Yao, J Wang, Y Hong, C Qian, Q Guan, X Liang, L Dai, J Zhang Landscape and Urban Planning 212, 104125, 2021 | 68 | 2021 |
| Mining spatiotemporal association patterns from complex geographic phenomena Z He, M Deng, J Cai, Z Xie, Q Guan, C Yang International Journal of Geographical Information Science 34 (6), 1162-1187, 2020 | 68 | 2020 |
Yao YaoChina University of Geosciences (Wuhan); University of Tokyoایمیل تأیید شده در csis.u-tokyo.ac.jp
