| Automatic building extraction from high-resolution aerial images and LiDAR data using gated residual refinement network J Huang, X Zhang, Q Xin, Y Sun, P Zhang ISPRS journal of photogrammetry and remote sensing 151, 91-105, 2019 | 200 | 2019 |
| Meta-discoveries from a synthesis of satellite-based land-cover mapping research L Yu, L Liang, J Wang, Y Zhao, Q Cheng, L Hu, S Liu, L Yu, X Wang, ... International Journal of Remote Sensing 35 (13), 4573-4588, 2014 | 188 | 2014 |
| FROM-GC: 30 m global cropland extent derived through multisource data integration L Yu, J Wang, N Clinton, Q Xin, L Zhong, Y Chen, P Gong International Journal of Digital Earth 6 (6), 521-533, 2013 | 154 | 2013 |
| Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data Q Xin, P Olofsson, Z Zhu, B Tan, CE Woodcock Remote Sensing of Environment 135, 234-247, 2013 | 143 | 2013 |
| Mapping crop cycles in China using MODIS-EVI time series L Li, MA Friedl, Q Xin, J Gray, Y Pan, S Frolking Remote Sensing 6 (3), 2473-2493, 2014 | 135 | 2014 |
| A global high‐resolution data set of soil hydraulic and thermal properties for land surface modeling Y Dai, Q Xin, N Wei, Y Zhang, W Shangguan, H Yuan, S Zhang, S Liu, ... Journal of Advances in Modeling Earth Systems 11 (9), 2996-3023, 2019 | 127 | 2019 |
| Land surface phenological response to decadal climate variability across Australia using satellite remote sensing M Broich, A Huete, MG Tulbure, X Ma, Q Xin, M Paget, N Restrepo-Coupe, ... Biogeosciences 11 (18), 5181-5198, 2014 | 119 | 2014 |
| A review of the global soil property maps for Earth system models Y Dai, W Shangguan, N Wei, Q Xin, H Yuan, S Zhang, S Liu, X Lu, ... Soil 5 (2), 137-158, 2019 | 103 | 2019 |
| Cumulative effects of climatic factors on terrestrial vegetation growth Y Wen, X Liu, Q Xin, J Wu, X Xu, F Pei, X Li, G Du, Y Cai, K Lin, J Yang, ... Journal of Geophysical Research: Biogeosciences 124 (4), 789-806, 2019 | 101 | 2019 |
| Modeling grassland spring onset across the Western United States using climate variables and MODIS-derived phenology metrics Q Xin, M Broich, P Zhu, P Gong Remote Sensing of Environment 161, 63-77, 2015 | 94 | 2015 |
| Developing a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data Y Sun, X Zhang, Q Xin, J Huang ISPRS journal of photogrammetry and remote sensing 143, 3-14, 2018 | 93 | 2018 |
| How does urban expansion interact with cropland loss? A comparison of 14 Chinese cities from 1980 to 2015 Y Tu, B Chen, L Yu, Q Xin, P Gong, B Xu Landscape Ecology 36, 243-263, 2021 | 84 | 2021 |
| A production efficiency model-based method for satellite estimates of corn and soybean yields in the Midwestern US Q Xin, P Gong, C Yu, L Yu, M Broich, AE Suyker, RB Myneni Remote Sensing 5 (11), 5926-5943, 2013 | 77 | 2013 |
| Warming reduces global agricultural production by decreasing cropping frequency and yields P Zhu, J Burney, J Chang, Z Jin, ND Mueller, Q Xin, J Xu, L Yu, ... Nature Climate Change 12 (11), 1016-1023, 2022 | 76 | 2022 |
| View angle effects on MODIS snow mapping in forests Q Xin, CE Woodcock, J Liu, B Tan, RA Melloh, RE Davis Remote Sensing of Environment 118, 50-59, 2012 | 73 | 2012 |
| Extracting building boundaries from high resolution optical images and LiDAR data by integrating the convolutional neural network and the active contour model Y Sun, X Zhang, X Zhao, Q Xin Remote Sensing 10 (9), 1459, 2018 | 72 | 2018 |
| Multi-scale evaluation of light use efficiency in MODIS gross primary productivity for croplands in the Midwestern United States Q Xin, M Broich, AE Suyker, L Yu, P Gong Agricultural and Forest Meteorology 201, 111-119, 2015 | 66 | 2015 |
| Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data X Liu, L Yu, W Li, D Peng, L Zhong, L Li, Q Xin, H Lu, C Yu, P Gong International Journal of Remote Sensing 39 (20), 6631-6645, 2018 | 65 | 2018 |
| Fine-grained building change detection from very high-spatial-resolution remote sensing images based on deep multitask learning Y Sun, X Zhang, J Huang, H Wang, Q Xin IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 64 | 2020 |
| Recognition of building group patterns in topographic maps based on graph partitioning and random forest X He, X Zhang, Q Xin ISPRS Journal of Photogrammetry and Remote Sensing 136, 26-40, 2018 | 63 | 2018 |
