| Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017 P Gong, H Liu, M Zhang, C Li, J Wang, H Huang, N Clinton, L Ji, Y Bai, B ... Science Bulletin 64 (6), 370-373, 2019 | 1096 | 2019 |
| Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018 P Gong, B Chen, X Li, H Liu, J Wang, Y Bai, J Chen, X Chen, L Fang, ... Science Bulletin 65 (3), 182-187, 2020 | 433 | 2020 |
| Annual dynamics of global land cover and its long-term changes from 1982 to 2015 H Liu, P Gong, J Wang, N Clinton, Y Bai, S Liang Earth System Science Data 12 (2), 1217-1243, 2020 | 270 | 2020 |
| Generative adversarial networks-based semi-supervised learning for hyperspectral image classification Z He, H Liu, Y Wang, J Hu Remote Sensing 9 (10), 1042, 2017 | 184 | 2017 |
| Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020-iMap World 1.0 H Liu, P Gong, J Wang, X Wang, G Ning, B Xu Remote Sensing of Environment 258, 112364, 2021 | 133 | 2021 |
| Cost-effective priorities for the expansion of global terrestrial protected areas: Setting post-2020 global and national targets R Yang, Y Cao, S Hou, Q Peng, X Wang, F Wang, TH Tseng, L Yu, ... Science Advances 6 (37), eabc3436, 2020 | 132 | 2020 |
| China’s current forest age structure will lead to weakened carbon sinks in the near future R Shang, JM Chen, M Xu, X Lin, P Li, G Yu, N He, L Xu, P Gong, L Liu, ... The Innovation 4 (6), 2023 | 67 | 2023 |
| Superpixel-guided layer-wise embedding CNN for remote sensing image classification H Liu, J Li, L He, Y Wang Remote Sensing 11 (2), 174, 2019 | 19 | 2019 |
| Exploring difference in land surface temperature between the city centres and urban expansion areas of China’s major cities J Zhao, L Yu, Y Xu, X Li, Y Zhou, D Peng, H Liu, X Huang, Z Zhou, ... International Journal of Remote Sensing 41 (23), 8965-8985, 2020 | 18 | 2020 |
| Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) H Liu, T Liao, Y Wang, X Qian, X Liu, C Li, S Li, Z Guan, L Zhu, X Zhou, ... GIScience & Remote Sensing 60 (1), 2286746, 2023 | 12 | 2023 |
| Towards an open and synergistic framework for mapping global land cover J Zhao, L Yu, H Liu, H Huang, J Wang, P Gong PeerJ 9, e11877, 2021 | 11 | 2021 |
| Remote sensing image classification based on convolutional neural networks with two-fold sparse regularization H Liu, L He, J Li 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 11 | 2017 |
| Human footprints in the Global South accelerate biomass carbon loss in ecologically sensitive regions M Geng, X Li, H Mu, G Yu, L Chai, Z Yang, H Liu, J Huang, H Liu, Z Ju Global Change Biology 29 (20), 5881-5895, 2023 | 10 | 2023 |
| Characterizing forest cover and landscape pattern using multi-source remote sensing data with ensemble learning Y Wang, H Liu, L Sang, J Wang Remote Sensing 14 (21), 5470, 2022 | 10 | 2022 |
| 21 世纪逐日无缝数据立方体构建方法及逐年逐季节土地覆盖和土地利用动态制图—中国智慧遥感制图 iMap (China) 1.0 刘涵， 宫鹏 遥感学报 25 (1), 126-147, 2021 | 10 | 2021 |
| Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing H Liu, Y Wang, L Sang, C Zhao, T Hu, H Liu, Z Zhang, S Wang, S Miao, ... Land 12 (9), 1764, 2023 | 3 | 2023 |
| Global age-structured spatial modeling for emerging infectious diseases like COVID-19 Y Xiao, J Zhou, Q Cheng, J Yang, B Chen, T Zhang, L Xu, B Xu, Z Ren, ... PNAS nexus 2 (5), pgad127, 2023 | 2 | 2023 |
| A Big Data Grided Organization and Management Method for Cropland Quality Evaluation S Miao, S Wang, C Huang, X Xia, L Sang, J Huang, H Liu, Z Zhang, ... Land 12 (10), 1916, 2023 | 1 | 2023 |
| 深度学习进展及其在图像处理领域的应用 刘涵， 贺霖， 李军 ZTE TECHNOLOGY JOURNAL, 2017 | 1 | 2017 |
| 贺兰山森林破碎化海拔梯度格局及其影响因素 王钰， 刘涵， 赵财胜， 桑玲玲， 鞠正山， 胡腾云， 李雪草 测绘科学 49 (1), 190-203, 2024 | | 2024 |
