代表性论文1.Hongchun Zhu*, et al. (2018). Loess terrain segmentation from digital elevation models based on the region growth method, Physical Geography, 39(1): 51-66.
代表性论文2. Zhu, H*., Zhao, Y. , & Liu, H. (2018). Scale characters analysis for gully structure in the watersheds of loess landforms based on digital elevation models. Frontiers of Earth Science,12(2): 431–443.
代表性论文3.Hongchun Zhu, et al (2018). UAV-based hyperspectral analysis and spectral indices constructing for quantitatively monitoring leaf nitrogen content of winter wheat, Appl. Opt. 57(27): 7722-7732.
代表性论文4.Zhu HC, Zhao YP, Xu YX, et al. (2018). Hierarchy structure characteristics analysis for the China Loess watersheds based on gully node calibration. Journal of Mountain Science 15(12):2637-2650.
代表性论文5.Zhu H, et al. (2016).Information Extraction of High Resolution Remote Sensing Images Based on the Calculation of Optimal Segmentation Parameters. PLoS ONE 11(6):e0158585.
代表性论文6.Liu Haiying and Zhu Hongchun* (2016). Hyperspectral characteristic analysis for leaf nitrogen content in different growth stages of winter wheat, Applied Optics. 55(34): D151-D161.（通讯作者）
代表性论文7.Haiying Liu, Hongchun Zhu* (2017). Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data, International Journal of Remote Sensing, 38:8-10, 2117-2134.（通讯作者）
代表性论文8.Zhu Hongchun, Tang Guoan, et al. (2014). Extraction and analysis of gully head of Loess Plateau in China based on Digital Elevation Model. Chinese Geographical Science, 24(3): 328–338.
代表性论文9. Zhu, H., et al. (2019). Landform classification based on optimal texture feature extraction from DEM data in Shandong Hilly Area, China. Frontiers of Earth Science,13(3): 1-15.
代表性论文10.Zhu, H., et al. (2019). Spectral Characteristic Analysis and Remote Sensing Classification of Coastal Aquaculture Areas Based on GF-1 Data. Journal of Coastal Research, 90: 49-57.
代表性论文11. Haiying Liu, Hongchun Zhu*, et al. (2019) Quantitative analysis and hyperspectral remote sensing of the nitrogen nutrition index in winter wheat, International Journal of Remote Sensing, DOI: 10.1080/01431161.2019.1650984.（Online,通讯作者）
代表性论文12. Xiaobin Xu, Zhenhai Li, Xiaodong Yang, Guijun Yang, Cong Teng, Hongchun Zhu*, and Shuaibing Liu. (2019) Predicting leaf chlorophyll content and its nonuniform vertical distribution of summer maize by using a radiation transfer model. Journal of Applied Remote Sensing, 13(3), 034505.（通讯作者）
