| Near-infrared hyperspectral imaging technology combined with deep convolutional generative adversarial network to predict oil content of single maize kernel L Zhang, Y Wang, Y Wei, D An Food Chemistry 370, 131047, 2022 | 77 | 2022 |
| Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds L Zhang, H Sun, Z Rao, H Ji Spectrochimica acta part A: molecular and biomolecular spectroscopy 229, 117973, 2020 | 68 | 2020 |
| Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality D An, L Zhang, Z Liu, J Liu, Y Wei Critical Reviews in Food Science and Nutrition 63 (29), 9766-9796, 2023 | 57 | 2023 |
| Prediction of oil content in single maize kernel based on hyperspectral imaging and attention convolution neural network L Zhang, D An, Y Wei, J Liu, J Wu Food Chemistry 395, 133563, 2022 | 56 | 2022 |
| Discrimination of unsound wheat kernels based on deep convolutional generative adversarial network and near-infrared hyperspectral imaging technology H Li, L Zhang, H Sun, Z Rao, H Ji Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 268, 120722, 2022 | 44 | 2022 |
| Identification of soybean varieties based on hyperspectral imaging technology and one‐dimensional convolutional neural network H Li, L Zhang, H Sun, Z Rao, H Ji Journal of Food Process Engineering 44 (8), e13767, 2021 | 40 | 2021 |
| Hyperspectral imaging combined with generative adversarial network (GAN)-based data augmentation to identify haploid maize kernels L Zhang, Q Nie, H Ji, Y Wang, Y Wei, D An Journal of food composition and analysis 106, 104346, 2022 | 34 | 2022 |
| Non-destructive identification of slightly sprouted wheat kernels using hyperspectral data on both sides of wheat kernels L Zhang, H Sun, Z Rao, H Ji Biosystems engineering 200, 188-199, 2020 | 34 | 2020 |
| Identification of wheat grain in different states based on hyperspectral imaging technology L Zhang, H Ji Spectroscopy Letters 52 (6), 356-366, 2019 | 34 | 2019 |
| NIR hyperspectral imaging technology combined with multivariate methods to study the residues of different concentrations of omethoate on wheat grain surface L Zhang, Z Rao, H Ji Sensors 19 (14), 3147, 2019 | 31 | 2019 |
| Vis-NIR hyperspectral imaging combined with incremental learning for open world maize seed varieties identification L Zhang, D Wang, J Liu, D An Computers and Electronics in Agriculture 199, 107153, 2022 | 25 | 2022 |
| Hyperspectral imaging technology combined with multivariate data analysis to identify heat-damaged rice seeds L Zhang, Z Rao, H Ji Spectroscopy Letters 53 (3), 207-221, 2020 | 25 | 2020 |
| Determination of moisture content in barley seeds based on hyperspectral imaging technology H Sun, L Zhang, Z Rao, H Ji Spectroscopy Letters 53 (10), 751-762, 2020 | 22 | 2020 |
| Identification of rice-weevil (Sitophilus oryzae L.) damaged wheat kernels using multi-angle NIR hyperspectral data L Zhang, H Sun, H Li, Z Rao, H Ji Journal of Cereal Science 101, 103313, 2021 | 18 | 2021 |
| Research on quantitative method of fish feeding activity with semi-supervised based on appearance-motion representation Y Wang, X Yu, J Liu, R Zhao, L Zhang, D An, Y Wei Biosystems Engineering 230, 409-423, 2023 | 11 | 2023 |
| A hyperspectral band selection method based on sparse band attention network for maize seed variety identification L Zhang, Y Wei, J Liu, J Wu, D An Expert Systems with Applications 238, 122273, 2024 | 9 | 2024 |
| Open set maize seed variety classification using hyperspectral imaging coupled with a dual deep SVDD-based incremental learning framework L Zhang, J Huang, Y Wei, J Liu, D An, J Wu Expert Systems with Applications 234, 121043, 2023 | 8 | 2023 |
| Nondestructive identification of barley seeds varieties using hyperspectral data from two sides of barley seeds H Sun, L Zhang, H Li, Z Rao, H Ji Journal of Food Process Engineering 44 (8), e13769, 2021 | 8 | 2021 |
| Maize seed fraud detection based on hyperspectral imaging and one-class learning L Zhang, Y Wei, J Liu, D An, J Wu Engineering Applications of Artificial Intelligence 133, 108130, 2024 | 7 | 2024 |
| Maize seed variety identification using hyperspectral imaging and self-supervised learning: A two-stage training approach without spectral preprocessing L Zhang, S Zhang, J Liu, Y Wei, D An, J Wu Expert Systems with Applications 238, 122113, 2024 | 7 | 2024 |
