Feng Hui

Release time:May 27, 2020Edit:Browse times:

Personal Information

Basic Information


Hui Feng






College of Informatics, Huazhong Agricultural   University


No.1   Shizishan Street, Hongshan District, Wuhan 430070, China





Research Interest

Hyperspectral imaging, computer vision, data   analysis, and plant phenomics

Academic activities


Education and research experience

09/2017-present, Lecturer in   Bioinformatics, College of Informatics, Huazhong Agricultural University,   Wuhan, China

07/2015-09/2017, Post-doctoral, College   of Life Science and Technology, Huazhong Agricultural University, Wuhan,   China

06/2010-06/2015, PhD, Department of Biomedical   Photonics, Huazhong University of Science and Technology (HUST), Wuhan China

09/2006-06/2010,   Bachelor degree, Department of Biomedica, l Engineering, Huazhong University   of Science and Technology (HUST), Wuhan China

Grants (Government-funded)

Study   on the 4D phenotyping of rice chlorophyll with hyperspectral and visible dual   mode imaging (Grant number:31800305), National Natural Science   Foundation of China, 2019-2021


Key technology   of high-throughput detection of chlorophyll content of rice leaves based on hyperspectral   (Grant number: 2662017QD044), Technology Innovation   Commission Foundation,


Study   on key technologies of nondestructive measurement of chlorophyll content of rice   leaves (Grant number: 2016M592345), China Postdoctoral Science Foundation,


Representative publications*for corresponding authors, # for first authors

1.           Li   Haitao, Feng Hui#, Guo Chaocheng, Yang Shanjing, Huang Wan,   Xiong Xiong, Liu Jianxiao, Chen Guoxing, Liu Qian, Xiong Lizhong, Liu Kede*,   Yang Wanneng*. Highthroughput   phenotyping accelerates the dissection of the dynamic genetic architecture of   plant growth and yield improvement in rapeseed. Plant biotechnology journal,   2020, 04. https://doi.org/10.1111/pbi.13396. (IF=6.84)

2.           Yang   Wanneng#*, Feng Hui#, Zhang Xuehai#, Zhang Jian, John H.   Doonan, William David Batchelor, Xiong Lizhong and Yan Jianbing Yan. Crop   Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges,   and Future Perspectives. Molecular Plant, 2020, 13, 187-214. (IF=10.812)

3.           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, 8 (2017),   1238. (IF=4.495)

4.           Hui   Feng#, Zilong Guo#,   Wanneng Yang, Chenlong Huang, Guoxing Chen, Wei Fang, Xiong Xiong, Hongyu   Zhang, Gongwei Wang, Lizhong Xiong*, and Qian Liu*, An Integrated   Hyperspectral Imaging and Genome-Wide Association Analysis Platform Provides   Spectral and Genetic Insights into the Natural Variation in Rice, Sci Rep, 7   (2017), 4401. (IF=5.228)

5.           Hui   Feng#, Ni Jiang, Chenglong Huang,   Wei Fang, Wanneng Yang, Guoxing Chen, Lizhong Xiong, and Qian Liu*, A Hyperspectral   Imaging System for an Accurate Prediction of the above-Ground Biomass of   Individual Rice Plants, Review of Scientific Instruments, 84 (2013), 095107. (IF=1.587)



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