Sensomics analysis of the effect of the withering method on the aroma components of Keemun black tea W Huang, S Fang, J Wang, C Zhuo, Y Luo, Y Yu, L Li, Y Wang, WW Deng, ... Food Chemistry 395, 133549, 2022 | 92 | 2022 |
Green analytical assay for the quality assessment of tea by using pocket-sized NIR spectrometer Y Wang, M Li, L Li, J Ning, Z Zhang Food Chemistry 345, 128816, 2021 | 78 | 2021 |
Intelligent evaluation of black tea fermentation degree by FT-NIR and computer vision based on data fusion strategy G Jin, Y Wang, L Li, S Shen, WW Deng, Z Zhang, J Ning Lwt 125, 109216, 2020 | 76 | 2020 |
Rapid prediction of chlorophylls and carotenoids content in tea leaves under different levels of nitrogen application based on hyperspectral imaging Y Wang, X Hu, G Jin, Z Hou, J Ning, Z Zhang Journal of the Science of Food and Agriculture 99 (4), 1997-2004, 2019 | 74 | 2019 |
Evaluating taste-related attributes of black tea by micro-NIRS YJ Wang, TH Li, LQ Li, JM Ning, ZZ Zhang Journal of Food Engineering 290, 110181, 2021 | 73 | 2021 |
Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality G Ren, Y Wang, J Ning, Z Zhang Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 237, 118407, 2020 | 73 | 2020 |
Effects of dynamic and static withering technology on volatile and nonvolatile components of Keemun black tea using GC-MS and HPLC combined with chemometrics ZW Hou, YJ Wang, SS Xu, YM Wei, GH Bao, QY Dai, WW Deng, JM Ning Lwt 130, 109547, 2020 | 72 | 2020 |
Revelation of volatile contributions in green teas with different aroma types by GC–MS and GC–IMS N Liu, S Shen, L Huang, G Deng, Y Wei, J Ning, Y Wang Food Research International 169, 112845, 2023 | 67 | 2023 |
Highly identification of keemun black tea rank based on cognitive spectroscopy: Near infrared spectroscopy combined with feature variable selection G Ren, Y Wang, J Ning, Z Zhang Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 230, 118079, 2020 | 67 | 2020 |
NIR hyperspectral imaging coupled with chemometrics for nondestructive assessment of phosphorus and potassium contents in tea leaves YJ Wang, G Jin, LQ Li, Y Liu, YK Kalkhajeh, JM Ning, ZZ Zhang Infrared Physics & Technology 108, 103365, 2020 | 66 | 2020 |
Enhanced quality monitoring during black tea processing by the fusion of NIRS and computer vision Y Wang, L Li, Y Liu, Q Cui, J Ning, Z Zhang Journal of Food Engineering 304, 110599, 2021 | 64 | 2021 |
Potential of smartphone-coupled micro NIR spectroscopy for quality control of green tea L Li, S Jin, Y Wang, Y Liu, S Shen, M Li, Z Ma, J Ning, Z Zhang Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 247, 119096, 2021 | 58 | 2021 |
Rapid and real-time detection of black tea fermentation quality by using an inexpensive data fusion system G Jin, Y Wang, M Li, T Li, W Huang, L Li, WW Deng, J Ning Food Chemistry 358, 129815, 2021 | 55 | 2021 |
Evaluation of black tea by using smartphone imaging coupled with micro-near-infrared spectrometer L Li, Y Wang, S Jin, M Li, Q Chen, J Ning, Z Zhang Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 246, 118991, 2021 | 53 | 2021 |
Qualitative and quantitative diagnosis of nitrogen nutrition of tea plants under field condition using hyperspectral imaging coupled with chemometrics YJ Wang, TH Li, G Jin, YM Wei, LQ Li, YK Kalkhajeh, JM Ning, ZZ Zhang Journal of the Science of Food and Agriculture 100 (1), 161-167, 2020 | 53 | 2020 |
Micro-NIR spectrometer for quality assessment of tea: Comparison of local and global models YJ Wang, TH Li, LQ Li, JM Ning, ZZ Zhang Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 237, 118403, 2020 | 51 | 2020 |
Monitoring the withering condition of leaves during black tea processing via the fusion of electronic eye (E-eye), colorimetric sensing array (CSA), and micro-near-infrared … Y Wang, Y Liu, Q Cui, L Li, J Ning, Z Zhang Journal of Food Engineering 300, 110534, 2021 | 50 | 2021 |
Discrimination of nitrogen fertilizer levels of tea plant (Camellia sinensis) based on hyperspectral imaging Y Wang, X Hu, Z Hou, J Ning, Z Zhang Journal of the Science of Food and Agriculture 98 (12), 4659-4664, 2018 | 49 | 2018 |
Quality assessment of instant green tea using portable NIR spectrometer Y Sun, Y Wang, J Huang, G Ren, J Ning, W Deng, L Li, Z Zhang Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 240, 118576, 2020 | 45 | 2020 |
Effects of three different withering treatments on the aroma of white tea H Wu, Y Chen, W Feng, S Shen, Y Wei, H Jia, Y Wang, W Deng, J Ning Foods 11 (16), 2502, 2022 | 42 | 2022 |