Xiaochuang Yao

机构：Ministry of Agriculture and Rural Affairs, China Agricultural University · ORCID：0000-0001-8068-9415

发表论文 74 篇 · 总被引 1323 次 · h-index 21

代表论文

• Deep learning in cropland field identification: A review (2024 · Computers and Electronics in Agriculture · 被引 38)
• Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery (2024 · Remote Sensing · 被引 28)
• Unveiling patterns and drivers of long-term rural settlement changes from the urban-rural gradient perspective: A case study of the Beijing-Tianjin-Hebei region in China (2025 · Habitat International · 被引 25)
• TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series (2024 · Computers and Electronics in Agriculture · 被引 25)
• A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images (2024 · International Journal of Applied Earth Observation and Geoinformation · 被引 23)
• Inversion of soil organic carbon content based on the two-point machine learning method (2024 · The Science of The Total Environment · 被引 19)