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| Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model Y Yao, X Li, X Liu, P Liu, Z Liang, J Zhang, K Mai International Journal of Geographical Information Science 31 (4), 825-848, 2017 | 455 | 2017 |
| Classifying urban land use by integrating remote sensing and social media data X Liu, J He, Y Yao, J Zhang, H Liang, H Wang, Y Hong International Journal of Geographical Information Science 31 (8), 1675-1696, 2017 | 360 | 2017 |
| 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 |
| Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures R Wang, M Helbich, Y Yao, J Zhang, P Liu, Y Yuan, Y Liu Environmental Research, 108535, 2019 | 259 | 2019 |
| Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data Y Yao, X Liu, X Li, J Zhang, Z Liang, K Mai, Y Zhang International Journal of Geographical Information Science 31 (6), 1220-1244, 2017 | 241 | 2017 |
| Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique R Wang, Y Liu, Y Lu, J Zhang, P Liu, Y Yao, G Grekousis Computers, Environment and Urban Systems 78, 101386, 2019 | 179 | 2019 |
| The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: using street view images R Wang, Y Lu, J Zhang, P Liu, Y Yao, Y Liu Journal of Transport & Health 13, 90-102, 2019 | 177 | 2019 |
| Residential greenness, air pollution and psychological well-being among urban residents in Guangzhou, China R Wang, B Yang, Y Yao, MS Bloom, Z Feng, Y Yuan, J Zhang, P Liu, ... Science of The Total Environment, 134843, 2019 | 161 | 2019 |
| Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health R Wang, Y Yuan, Y Liu, J Zhang, P Liu, Y Lu, Y Yao Health & place 59, 102186, 2019 | 112 | 2019 |
| Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques J He, X Li, Y Yao, Y Hong, Z Jinbao International Journal of Geographical Information Science 32 (10), 2076-2097, 2018 | 106 | 2018 |
| The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques R Wang, Y Liu, Y Lu, Y Yuan, J Zhang, P Liu, Y Yao International journal of health geographics 18 (1), 18, 2019 | 87 | 2019 |
| Mapping fine‐scale urban housing prices by fusing remotely sensed imagery and social media data Y Yao, J Zhang, Y Hong, H Liang, J He Transactions in GIS 22 (2), 561-581, 2018 | 87 | 2018 |
| The Traj2Vec model to quantify residents’ spatial trajectories and estimate the proportions of urban land-use types J Zhang, X Li, Y Yao, Y Hong, J He, Z Jiang, J Sun International Journal of Geographical Information Science, 1-19, 2020 | 64 | 2020 |
| The longitudinal relationship between exposure to air pollution and depression in older adults R Wang, B Yang, P Liu, J Zhang, Y Liu, Y Yao, Y Lu International journal of geriatric psychiatry 35 (6), 610-616, 2020 | 45 | 2020 |
| Accurate estimation of the proportion of mixed land use at the street-block level by integrating high spatial resolution images and geospatial big data J He, X Li, P Liu, X Wu, J Zhang, D Zhang, X Liu, Y Yao IEEE Transactions on Geoscience and Remote Sensing 59 (8), 6357-6370, 2020 | 42 | 2020 |
| 基于随机森林 CA 的东莞市多类土地利用变化模拟 张大川， 刘小平， 姚尧， 张金宝 地理与地理信息科学 32 (5), 29-36, 2016 | 16 | 2016 |
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| Deep-learning generation of POI data with scene images J Zhang, X Liu, W Liao, X Li ISPRS Journal of Photogrammetry and Remote Sensing 188, 201-219, 2022 | 7 | 2022 |
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