| A review of vibrational spectroscopic techniques for the detection of food authenticity and adulteration S Lohumi, S Lee, H Lee, BK Cho Trends in Food Science & Technology 46 (1), 85-98, 2015 | 495 | 2015 |
| Hyperspectral near-infrared imaging for the detection of physical damages of pear WH Lee, MS Kim, H Lee, SR Delwiche, H Bae, DY Kim, BK Cho Journal of Food Engineering 130, 1-7, 2014 | 167 | 2014 |
| Rapid assessment of corn seed viability using short wave infrared line-scan hyperspectral imaging and chemometrics C Wakholi, LM Kandpal, H Lee, H Bae, E Park, MS Kim, C Mo, WH Lee, ... Sensors and Actuators B: Chemical 255, 498-507, 2018 | 108 | 2018 |
| Non‐destructive technique for determining the viability of soybean (Glycine max) seeds using FT‐NIR spectroscopy D Kusumaningrum, H Lee, S Lohumi, C Mo, MS Kim, BK Cho Journal of the Science of Food and Agriculture 98 (5), 1734-1742, 2018 | 96 | 2018 |
| Determination of the total volatile basic nitrogen (TVB-N) content in pork meat using hyperspectral fluorescence imaging H Lee, MS Kim, WH Lee, BK Cho Sensors and Actuators B: Chemical 259, 532-539, 2018 | 95 | 2018 |
| Prediction of crude protein and oil content of soybeans using Raman spectroscopy H Lee, BK Cho, MS Kim, WH Lee, J Tewari, H Bae, SI Sohn, HY Chi Sensors and Actuators B: Chemical 185, 694-700, 2013 | 92 | 2013 |
| Quantitative analysis of Sudan dye adulteration in paprika powder using FTIR spectroscopy S Lohumi, R Joshi, LM Kandpal, H Lee, MS Kim, H Cho, C Mo, YW Seo, ... Food Additives & Contaminants: Part A 34 (5), 678-686, 2017 | 73 | 2017 |
| Nondestructive estimation of moisture content, pH and soluble solid contents in intact tomatoes using hyperspectral imaging A Rahman, LM Kandpal, S Lohumi, MS Kim, H Lee, C Mo, BK Cho Applied sciences 7 (1), 109, 2017 | 72 | 2017 |
| Hyperspectral reflectance imaging technique for visualization of moisture distribution in cooked chicken breast LM Kandpal, H Lee, MS Kim, C Mo, BK Cho Sensors 13 (10), 13289-13300, 2013 | 70 | 2013 |
| Spatial assessment of soluble solid contents on apple slices using hyperspectral imaging C Mo, MS Kim, G Kim, J Lim, SR Delwiche, K Chao, H Lee, BK Cho Biosystems Engineering 159, 10-21, 2017 | 66 | 2017 |
| Application of hyperspectral imaging for characterization of intramuscular fat distribution in beef S Lohumi, S Lee, H Lee, MS Kim, WH Lee, BK Cho Infrared Physics & Technology 74, 1-10, 2016 | 61 | 2016 |
| Detection of cucumber green mottle mosaic virus-infected watermelon seeds using a near-infrared (NIR) hyperspectral imaging system: Application to seeds of the “Sambok Honey … H Lee, MS Kim, HS Lim, E Park, WH Lee, BK Cho Biosystems Engineering 148, 138-147, 2016 | 54 | 2016 |
| Non‐destructive evaluation of bacteria‐infected watermelon seeds using visible/near‐infrared hyperspectral imaging H Lee, MS Kim, YR Song, CS Oh, HS Lim, WH Lee, JS Kang, BK Cho Journal of the Science of Food and Agriculture 97 (4), 1084-1092, 2017 | 44 | 2017 |
| Detection and quantification of adulterants in milk powder using a high-throughput Raman chemical imaging technique J Qin, MS Kim, K Chao, S Dhakal, H Lee, BK Cho, C Mo Food Additives & Contaminants: Part A 34 (2), 152-161, 2017 | 43 | 2017 |
| Through-packaging analysis of butter adulteration using line-scan spatially offset Raman spectroscopy S Lohumi, H Lee, MS Kim, J Qin, BK Cho Analytical and bioanalytical chemistry 410, 5663-5673, 2018 | 42 | 2018 |
| Raman hyperspectral imaging and spectral similarity analysis for quantitative detection of multiple adulterants in wheat flour S Lohumi, H Lee, MS Kim, J Qin, BK Cho biosystems engineering 181, 103-113, 2019 | 39 | 2019 |
| Detection of cracks on tomatoes using a hyperspectral near-infrared reflectance imaging system H Lee, MS Kim, D Jeong, SR Delwiche, K Chao, BK Cho Sensors 14 (10), 18837-18850, 2014 | 39 | 2014 |
| Calibration and testing of a Raman hyperspectral imaging system to reveal powdered food adulteration S Lohumi, H Lee, MS Kim, J Qin, LM Kandpal, H Bae, A Rahman, BK Cho PLoS One 13 (4), e0195253, 2018 | 38 | 2018 |
| Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice JY Barnaby, TD Huggins, H Lee, AM McClung, SRM Pinson, M Oh, ... Scientific reports 10 (1), 9284, 2020 | 37 | 2020 |
| Raman Hyperspectral Imaging for Detection of Watermelon Seeds Infected with Acidovorax citrulli H Lee, MS Kim, J Qin, E Park, YR Song, CS Oh, BK Cho Sensors 17 (10), 2188, 2017 | 36 | 2017 |
Byoung-Kwan ChoProfessor of Biosystems Machinery Engineering, Chungnam National University在 cnu.ac.kr 的电子邮件经过验证
