| Determination of hardness for maize kernels based on hyperspectral imaging M Qiao, Y Xu, G Xia, Y Su, B Lu, X Gao, H Fan Food Chemistry 366, 130559, 2022 | 51 | 2022 |
| Determination and interpretation of bonded-particle model parameters for simulation of maize kernels Y Su, Y Xu, T Cui, X Gao, G Xia, Y Li, M Qiao Biosystems Engineering 210, 193-205, 2021 | 25 | 2021 |
| Effect of moisture, protein, starch, soluble sugar contents and microstructure on mechanical properties of maize kernels M Qiao, G Xia, T Cui, Y Xu, X Gao, Y Su, Y Li, H Fan Food Chemistry 379, 132147, 2022 | 20 | 2022 |
| Damage resistance and compressive properties of bulk maize kernels at varying pressing factors: Experiments and modeling Y Su, T Cui, D Zhang, G Xia, X Gao, X He, Y Xu Journal of Food Process Engineering 42 (7), e13267, 2019 | 18 | 2019 |
| Effects of shape feature on compression characteristics and crack rules of maize kernel Y Su, T Cui, D Zhang, G Xia, X Gao, X He, Y Xu Journal of Food Processing and Preservation 44 (1), e14307, 2020 | 17 | 2020 |
| MLR and experimental testing for characterization and classification of damage resistance of maize hybrids based on mechanical properties Y Su, T Cui, D Zhang, G Xia, X Gao, X He, Y Xu Journal of Food Process Engineering 42 (7), e13262, 2019 | 16 | 2019 |
| A combined experimental and DEM approach to optimize the centrifugal maize breakage tester Y Su, Y Xu, T Cui, X Gao, G Xia, Y Li, M Qiao, H Fan Powder Technology 397, 117008, 2022 | 15 | 2022 |
| Effects of different moisture content and varieties on physico–mechanical properties of maize kernel and pedicel Y Su, T Cui, G Xia, X Gao, Y Li, M Qiao, Y Xu Journal of Food Process Engineering 44 (9), e13778, 2021 | 10 | 2021 |
| Machine learning and experimental testing for prediction of breakage rate of maize kernels based on components contents M Qiao, G Xia, T Cui, Y Xu, C Fan, Y Su, Y Li, S Han Journal of Cereal Science 108, 103582, 2022 | 9 | 2022 |
| Feature selection, artificial neural network prediction and experimental testing for predicting breakage rate of maize kernels based on mechanical properties G Xia, Y Xu, Y Su, X Gao, Y Li, M Qiao, Y Yu Journal of Food Process Engineering 44 (2), e13621, 2021 | 9 | 2021 |
| HANDY: a device for assessing resistance to mechanical crushing of maize kernel Y Su, Y Xu, T Cui, X Gao, G Xia, Y Li, M Qiao, Y Yu Plant Methods 17 (1), 44, 2021 | 6 | 2021 |
| Integration of spectral and image features of hyperspectral imaging for quantitative determination of protein and starch contents in maize kernels M Qiao, T Cui, G Xia, Y Xu, Y Li, C Fan, S Han, J Dong Computers and Electronics in Agriculture 218, 108718, 2024 | 5 | 2024 |
| Generic prediction model of moisture content for maize kernels by combing spectral and color data through hyperspectral imaging M Qiao, G Xia, Y Xu, T Cui, C Fan, Y Li, S Han, J Qian Vibrational Spectroscopy 131, 103663, 2024 | 1 | 2024 |
| Prediction of moisture content for a single maize kernel based on viscoelastic properties M Qiao, G Xia, Y Xu, T Cui, C Fan, Y Li, S Han, J Qian Journal of the Science of Food and Agriculture, 2024 | | 2024 |
| Computational ethology-based human behaviour modelling: First investigation for Human-Robot Collaboration X Guoyi, A Heuermann, KD Thoben, Z Ghrairi Cranfield University, 2022 | | 2022 |
| Properties and Finite Element Analysis of Corn Kernels under Uniaxial Compression Loads Y Su, Y Xu, Z Dongxing, X Guoyi, H Xiaowei 2019 ASABE Annual International Meeting, 1, 2019 | | 2019 |
