个人简历

教育经历
2006.09 – 2011.06，华中科技大学，生物医学工程，工学博士
2002.09 – 2006.06，华中科技大学，生物医学工程，工学学士
工作经历
2017.08 - 2018.08，英国亚伯大学，访问学者
2018.12-至今，华中农业大学，植物科学技术学院，教授
2018.05 – 2018.12，华中农业大学，植物科学技术学院，副教授
2014.01 – 2018.04，华中农业大学，工学院，副教授
2011.07 - 2013.12，华中农业大学，工学院，讲师

研究领域

作物表型组学，从博士阶段至今致力于高通量作物表型组技术自主研发工作

近期论文

1. Di Wu, Zilong Guo, Junli Ye, Hui Feng, Jianxiao Liu, Guoxing Chen, Jingshan Zheng, Dongmei Yan, Xiaoquan Yang, Xiong Xiong, Qian Liu, Zhiyou Niu, Alan P. Gay, John H. Doonan, Lizhong Xiong, and Wanneng Yang*. Combining high-throughput micro-CT-RGB phenotyping and genome-wide association study to dissect the genetic architecture of tiller growth in rice. Journal of Experimental Botany, 2019, 70(2): 545-561.
2. Zilong Guo#, Wanneng Yang*, Yu Chang, Xiaosong Ma, Haifu Tu, Fang Xiong, Ni Jiang, Hui Feng, Chenglong Huang, Peng Yang, Hu Zhao, Guoxing Chen, Hongyan Liu, Lijun Luo, Honghong Hu, Qian Liu and Lizhong Xiong*. Genome-wide association studies of image traits reveal the genetic architecture of drought resistance in rice. Molecular Plant, 2018, 11: 789-805. （JCR生物、植科科学1区，影响因子8.827，共通讯作者）
3. Lingfeng Duan#, Jiwan Han, Zilong Guo, Haifu Tu, Peng Yang, Dong Zhang, Yuan Fan, Guoxing Chen, Lizhong Xiong, Mingqiu Dai, Kevin Williams, Fiona Corke, John H. Doonan and Wanneng Yang*. Novel digital features discriminate between drought resistant and drought sensitive rice under controlled and field conditions, Frontiers in Plant Science, 2018, 9:492. doi: 10.3389/fpls.2018.00492. (JCR生物、植物科学2区，影响因子4.298，通讯作者)
4. Lingbo Liu#, Wanneng Yang; Junli Ye; Guoxing Chen; Lizhong Xiong; Qian Liu*. A portable phenotyping for maize plant using cellphone. Optics InfoBase Conference Papers, v Part F70-PIBM 2017, 2017. (EI)
5. 黄成龙#，张雪海，吴迪，叶军立，杨万能*。基于时间序列的玉米叶片性状动态提取方法研究。农业机械学报，2017，48（5）：174-179.
6. 吴迪#，王梦珂，杨万能，刘谦，黄成龙*。水稻表层根系性状无损测量技术研究。中国农业科技导报，2017，19（7）：66-77.
7. 吴迪#，杨万能，牛智有，黄成龙*。小麦分蘖形态学特征 X 射线-CT 无损检测。农业工程学报，33（14）：196-201.
8. Xiong Xiong#, Lingfeng Duan#, Lingbo Liu, Haifu Tu, Peng Yang, Dan Wu, Guoxing Chen, Lizhong Xiong, Wanneng Yang* and Qian Liu*. Panicle-SEG: A robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization. Plant Methods, 2017, 13: 104.（JCR生物、植物科学2区，影响因子3.510，共通讯作者）
9. Hui Feng#, Guoxing Chen, Lizhong Xiong, Qian Liu* and Wanneng Yang*.Accurate digitization of the chlorophyll distribution of individual rice leaves using hyperspectral imaging and an integrated image analysis pipeline. Frontiers in Plant Science, 2017, 8: 1238. (JCR生物、植物科学2区，影响因子4.298，共通讯作者)
10. Hui Feng#, Zilong Guo, Wanneng Yang, Chenglong Huang, Guoxing Chen, Wei Fang, Xiong Xiong, Hongyu Zhang, Gongwei Wang, Lizhong Xiong* &Qian Liu*. An integrated hyperspectral imaging and genome-wide association analysis platform provides spectral and genetic insights into the natural variation in rice. Scientific Reports, 2017, 7: 4401. （JCR综合性期刊3区，影响因子4.259）
11. Xuehai Zhang#, Chenglong Huang#, Di Wu, Feng Qiao, Wenqiang Li, Lingfeng Duan, Ke Wang, Yingjie Xiao, Guoxing Chen, Qian Liu, Lizhong Xiong, Wanneng Yang*, and Jianbing Yan*. High-throughput phenotyping and QTL mapping reveals the genetic architecture of maize plant growth. Plant Physiology, 2017, 173: 1-11.DOI: 10.1104/pp.16.01516. (JCR生物、植物科学1区，影响因子6.456)
12. Xiong Xiong#, Lejun Yu#, Wanneng Yang, Meng Liu, Ni Jiang, Di Wu, Guoxing Chen, Lizhong Xiong, Kede Liu and Qian Liu*. A high‑throughput stereo‑imaging system for quantifying rape leaf traits during the seedling stage. Plant Methods, 2017, 13:7. （JCR生物、植物科学2区，影响因子3.510）
13. Xiuying Liang#, Ke Wang, Chenglong Huang, Xuehai Zhang, Jianbing Yan, Wanneng Yang*. A high-throughput maize kernel traits scorer based on line-scan imaging. Measurement, 2016, 90: 453-460. （JCR工程技术3区, 影响因子1.484，通讯作者）
14. Wei Fang#, Hui Feng, Wanneng Yang, Lingfeng Duan, Guoxing Chen, Lizhong Xiong and Qian Liu*. High-throughput volumetric reconstruction for 3D wheat plant architecture studies. Journal of Innovative Optical Health Sciences, 2016, 9(5): 1650037.（SCI收录，影响因子1.11）
15. Lingfeng Duan#, Wanneng Yang, Guoxing Chen, Lizhong Xiong, and Chenglong Huang*. Accurate inference of rice biomass based on support vector machine. IFIP International Federation for Information Processing 2016. D. Li and Z. Li (Eds.): CCTA 2015, Part I, IFIP AICT 478, pp. 356–365, 2016.(EI收录)
16. Chenglong Huang#, Lingbo Liu, Wanneng Yang, Lizhong Xiong, and Lingfeng Duan*. Rapid identification of rice varieties by grain shape and yield-related features combined with multi-class SVM. IFIP International Federation for Information Processing 2016. D. Li and Z. Li (Eds.): CCTA 2015, Part I, IFIP AICT 478, pp. 390–398, 2016. (EI收录)
17. 方伟#，冯慧，杨万能，刘谦*。表型检测中用于小麦株型研究的快速三维重建方法。中国农业科技导报，2016，18(2): 95-101.
18. 段凌凤#，杨万能*。水稻表型组学研究概况和展望。生命科学，2016,28(10): 1-9.
19. Wanneng Yang#, Zilong Guo#, Chenglong Huang, Ke Wang, Ni Jiang, Hui Feng, Guoxing Chen, Qian Liu and Lizhong Xiong*. Genome-wide association study of rice (Oryza sativa L.) leaf traits with a high-throughput leaf scorer. Journal of Experimental Botany, 2015, 66: 5605-5615.（JCR植物科学1区，影响因子5.830，共同一作排第1）
20. Ni Jiang#, Wanneng Yang, Lingfeng Duan, Guoxing Chen, Wei Fang, Lizhong Xiong and Qian Liu*. A nondestructive method for estimating the total green leaf area of individual rice plants using multi-angle color images. Journal of Innovative Optical Health Sciences, 2015, 8, 1550002.（JCR医学、光学4区，影响因子1.120）