[1] Fengle Zhu, Xin Qiao*, Yuqian Zhang, Jiandong Jiang*. Analysis and mitigation of illumination influences on canopy close-range hyperspectral imaging for the in situ detection of chlorophyll distribution of basil crops[J]. Computers and Electronics in Agriculture. 2024, 217: 108553. (SCI中科院一区, IF=8.3)
[2] Fengle Zhu#, Zhenzhu Su#, Alireza Sanaeifar, Anand Babu Perumal, Mostafa Gouda, Ruiqing Zhou, Xiaoli Li*, Yong He. Fingerprint spectral signatures revealing the spatiotemporal dynamics of bipolaris spot blotch progression for presymptomatic diagnosis[J]. Engineering. 2023, 22: 171-184. (SCI中科院一区,中国工程院院刊, IF=12.834)
[3] Xuelun Luo, Chanjun Sun, Yong He, Fengle Zhu*, Xiaoli Li*. Cross-cultivar prediction of quality indicators of tea based on VIS-NIR hyperspectral imaging[J]. Industrial Crops & Products. 2023, 202: 117009. (SCI中科院一区, IF=5.9)
[4] Haibo Yao*, Fengle Zhu*, Russell Kincaid, Zuzana Hruska, Kanniah Rajasekaran. A low-cost, portable device for detecting and sorting aflatoxin-contaminated maize kernels[J]. Toxins. 2023, 15(3): article ID 197. (SCI中科院二区, IF=5.075)
[5] 朱逢乐,刘益,乔欣,何梦竹,郑增威,孙霖. 基于多尺度级联卷积神经网络的高光谱图像分析[J]. 吉林大学学报(工学版), 2023, 53(12). (EI)
[6] Fengle Zhu, Jianping Cai, Mengzhu He, Xiaoli Li*. Channel and band attention embedded 3D CNN for model development of hyperspectral image in object-scale analysis[J]. Chemometrics and Intelligent Laboratory Systems. 2022, 224: article ID 104537. (SCI中科院二区, IF=4.175)
[7] Zengwei Zheng, YiLiu, MengzhuHe, DanChen, Lin Sun, Fengle Zhu*. Effective band selection of hyperspectral image by attention mechanism-based convolutional network[J]. RSC Advances. 2022, 12(14): 8750-8759. (SCI中科院三区, IF=4.036)
[8] 朱逢乐, 严霜, 孙霖*, 何梦竹, 郑增威, 乔欣.基于深度学习多源数据融合的生菜表型参数估算方法[J].农业工程学报. 2022, 38(9): 195-204. (EI)
[9] Alireza Sanaeifar#, Fengle Zhu#, Junjing Sha, Xiaoli Li*, Yong He, Zhihao Zhan. Rapid quantitative characterization of tea seedlings under lead-containing aerosol particles stress using Vis-NIR spectra[J]. Science of the Total Environment. 2022, 802: article ID 149824. (SCI中科院一区, IF=9.8)
[10] Fengle Zhu, Mengzhu He, Zengwei Zheng*. Data augmentation using improved cDCGAN for plant vigor rating[J]. Computers and Electronics in Agriculture. 2020, 175: article ID 105603. (SCI中科院一区, IF=8.3)
[11] Fengle Zhu, Zengwei Zheng*. Image-based assessment of growth vigor for Phalaenopsis aphrodite seedlings using convolutional neural network[J]. 农业工程学报. 2020, 36(9): 185-194. (EI)
[12] Fengle Zhu, Haibo Yao*, Zuzana Hruska, Russell Kincaid, Robert Brown, Deepak Bhatnagar, Thomas Cleveland. Integration of fluorescence and reflectance visible near-infrared (VNIR) hyperspectral images for detection of aflatoxins in corn kernels[J]. Transactions of the ASABE. 2016, 59(3): 785-794. (SCI, 农业工程国际权威期刊)