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- Qiangqiang Yuan.Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point–Surface Fusion of MODIS Products and GNSS-IR Observations.Remote Sensing
- [1]Linwei Yue, Huanfeng Shen, Yuanqing He, and Liangpei Zhang, “Monitoring of historical glacier recession in Yulong Mountain by integrating multi-source remote sensing data”, Journal of Seclected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 8, pp. 388-400, 2018. （SCI, 二区，IF:2.913）
- [2]Linwei Yue,Huanfeng Shen, Liangpei Zhang, Xianwei Zheng, Fan Zhang, and Qiangqiang Yuan, “High-quality seamless DEM generation blending SRTM-1, ASTER GDEM v2 and ICESat/GLAS observations”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 123, pp. 20-34, 2017.（SCI, 二区，IF:6.387）
- [3]Linwei Yue, Huanfeng Shen, Jie Li, Qiangqiang Yuan, Hongyan Zhang, and Liangpei Zhang, “Image super-resolution: The techniques, applications, and future,” Signal Processing, vol. 128, pp. 389-408, 2016. (SCI,二区，IF:3.110)
- [4]Linwei Yue, Huanfeng Shen, Qiangqiang Yuan, and Liangpei Zhang, “Fusion of Multi-scale DEMs using Regularized Super-Resolution Methods,” International Journal of Geographical Information Science, vol. 29, no. 12, pp. 2095-2120, 2015.(SCI, 三区，IF:2.502)