| Fourier Transform Infrared and Raman and Hyperspectral Imaging Techniques for Quality Determinations of Powdery Foods: A Review WH Su, DW Sun Comprehensive Reviews in Food Science and Food Safety 17 (1), 104-122, 2018 | 170 | 2018 |
| Non-destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: a review WH Su, HJ He, DW Sun Critical Reviews in Food Science and Nutrition 57 (5), 1039-1051, 2017 | 170 | 2017 |
| Multispectral Imaging for Plant Food Quality Analysis and Visualization WH Su, DW Sun Comprehensive Reviews in Food Science and Food Safety 17 (1), 220-239, 2018 | 133 | 2018 |
| Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision WH Su, J Zhang, C Yang, R Page, T Szinyei, CD Hirsch, BJ Steffenson Remote Sensing 13 (1), 26, 2021 | 118 | 2021 |
| Advanced Machine Learning in Point Spectroscopy, RGB-and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A review WH Su Smart Cities 3 (3), 767-792, 2020 | 114 | 2020 |
| Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour WH Su, DW Sun Journal of Food Engineering 200, 59-69, 2017 | 107 | 2017 |
| Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to … WH Su, DW Sun Computers and Electronics in Agriculture 125, 113-124, 2016 | 72 | 2016 |
| Mid-infrared (MIR) Spectroscopy for Quality Analysis of Liquid Foods WH Su, DW Sun Food Engineering Reviews 11 (3), 142-158, 2019 | 60 | 2019 |
| Convolutional neural networks in computer vision for grain crop phenotyping: A review YH Wang, WH Su Agronomy 12 (11), 2659, 2022 | 59 | 2022 |
| Variation analysis in spectral indices of volatile chlorpyrifos and non-volatile imidacloprid in jujube (Ziziphus jujuba Mill.) using near-infrared hyperspectral imaging (NIR … WH Su, DW Sun, JG He, LB Zhang Computers and Electronics in Agriculture 139, 41-55, 2017 | 59 | 2017 |
| Chemometric determination of time series moisture in both potato and sweet potato tubers during hot air and microwave drying using near/mid-infrared (NIR/MIR) hyperspectral … WH Su, S Bakalis, DW Sun Drying Technology 38 (5-6), 806-823, 2020 | 58 | 2020 |
| Facilitated wavelength selection and model development for rapid determination of the purity of organic spelt (Triticum spelta L.) flour using spectral imaging WH Su, DW Sun Talanta 155, 347-357, 2016 | 58 | 2016 |
| Hyperspectral imaging and improved feature variable selection for automated determination of deoxynivalenol in various genetic lines of barley kernels for resistance screening WH Su, C Yang, Y Dong, R Johnson, R Page, T Szinyei, CD Hirsch, ... Food Chemistry, 128507, 2021 | 57 | 2021 |
| Chemometrics in tandem with near infrared (NIR) hyperspectral imaging and Fourier transform mid infrared (FT-MIR) microspectroscopy for variety identification and cooking loss … WH Su, S Bakalis, DW Sun Biosystems Engineering 180, 70-86, 2019 | 54 | 2019 |
| Fluorescence imaging for rapid monitoring of translocation behaviour of systemic markers in snap beans for automated crop/weed discrimination WH Su, SA Fennimore, DC Slaughter Biosystems Engineering 186, 156-167, 2019 | 46 | 2019 |
| Fourier transform mid-infrared-attenuated total reflectance (FTMIR-ATR) microspectroscopy for determining textural property of microwave baked tuber WH Su, S Bakalis, DW Sun Journal of Food Engineering 218, 1-13, 2018 | 44 | 2018 |
| Crop plant signaling for real-time plant identification in smart farm: A systematic review and new concept in artificial intelligence for automated weed control WH Su Artificial Intelligence in Agriculture 4, 262-271, 2020 | 42 | 2020 |
| SE-YOLOv5x: An optimized model based on transfer learning and visual attention mechanism for identifying and localizing weeds and vegetables JL Zhang, WH Su, HY Zhang, Y Peng Agronomy 12 (9), 2061, 2022 | 41 | 2022 |
| Two-Stage Convolutional Neural Networks for Diagnosing the Severity of Alternaria Leaf Blotch Disease of the Apple Tree BY Liu, KJ Fan, WH Su, Y Peng Remote Sensing 14 (11), 2519, 2022 | 39 | 2022 |
| Imaging spectroscopy and machine learning for intelligent determination of potato and sweet potato quality WH Su, H Xue Foods 10 (9), 2146, 2021 | 39 | 2021 |
Da-Wen SunMembers of Academia Europaea, Royal Irish Academy, Polish Academy of Sciences 孙大文：科学院院士在 ucd.ie 的电子邮件经过验证