1.苎麻栽培与利用新技术,金盾出版社,2012(主编)
2.麻类学科研究生培养手册,电子版,2015(主编)
3.作物栽培学总论,科学出版社,2006(参编麻类部分)
4.现代作物栽培学,官春云主编,北京:高等教育出版社,2011(参编麻类部分)
5.作物栽培学各论(南方本)(第三版),中国农业出版社,2021年8月出版(参编麻类部分)
6.Hongyu Fu, Jianfu Chen, Jianning Lu, Yunkai Yue, Mingzhi Xu, Xinwei Jiao, Guoxian Cui, and Wei She. A Comparison of Different Remote Sensors for Ramie Leaf Area Index Estimation. Agronomy, 2023, 13, 899. (第一作者为本人博士生) (SCI)
7.Hongyu Fu, Yunka Yue i, Wei Wang, Ao Liao, Mingzhi Xu, Xihong Gong, Wei She , Guoxian Cui. Ramie plant counting based on UAV remote sensing technology and deep learning. Journal of Natural Fibers, 2023.(第一作者为本人博士生) (SCI)
8.基于无人机多光谱的耐旱苎麻品种筛选[J/OL].农业机械学报,2023,1-15.(EI)
9.基于无人机遥感表型监测的苎麻优质种质资源筛选方法[J].智慧农业(中英文),2022,4(04):74-83.
10.高光谱早稻生理指标可跨期预测性的初步研究.光谱学与光谱分析,2022,42(1):170-175(SCI源刊)
11.抗氧化酶和植物螯合肽对苎麻重金属Cd胁迫的应答.热带作物学报,2022,43(5): 1-9
12.苎麻秸秆水浸提液对苎麻生理生化和根际微生物的影响[J/OL].分子植物育种.https://kns.cnki.net/kcms/detail/ 46.1068.S.20220107.1759.012.html
13.苎麻土壤水浸提液物质成分鉴定及其对根际微生物的影响[J/OL].分子植物育种. 2022-09-17.https://kns.cnki.net/kcms/detail/46.1068.S.20220916.1216.038.html
14.Ramie Yield Estimation Based on UAV RGB Images. Sensors 2021,21,669. https://doi.org/10.3390/s21020669 (SCI)
15.Phenotypic characteristics of ramie (Boehmeria nivea L) germplasm resources based on UAV remote sensing. Genetic Resources and Crop Evolution, 2021,68:551–566 (SCI)
16.苎麻 BnPCS1互作蛋白筛选与鉴定.植物生理学报,2021, 57 (12): 2301–2309
17.苎麻重金属ATP酶BnHMA1基因的克隆及表达分析[J].植物生理学报,2020,56(07):1531-1540
18.基于无人机遥感图像的苎麻产量估测研究.作物学报,2020, 46(9): 1448-1455
19.基于可见光遥感的苎麻种质资源冠层性状研究.植物遗传资源学报,2020,21(2):483-490
20.3个苎麻品种三年间产量及其构成因子的变化研究.中国麻业科学,2020,42(2):76-82