Feng Hui-College of Informatics

Name

Hui Feng

Sex

Female

Title

Lecturer

Institute

College of Informatics, Huazhong Agricultural University

Address

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

Email

fenghui@mail.hzau.edu.cn

Fax

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*. High‐throughput 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)

Basic Information
Name	Hui Feng		Sex	Female	Title	Lecturer
Institute		College of Informatics, Huazhong Agricultural University
Address		No.1 Shizishan Street, Hongshan District, Wuhan 430070, China
Email		fenghui@mail.hzau.edu.cn
Fax
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. High‐throughput 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)