| Ligand-metal charge transfer mechanism enhances TiO2/Bi2WO6/rGO nanomaterials photocatalytic efficient degradation of norfloxacin under visible light L Ma, J Duan, B Ji, Y Liu, C Li, C Li, W Zhao, Z Yang Journal of Alloys and Compounds 869, 158679, 2021 | 46 | 2021 |
| Exergoeconomic analysis of corn drying in a novel industrial drying system B Li, C Li, J Huang, C Li Entropy 22 (6), 689, 2020 | 25 | 2020 |
| Characteristic analysis of heat loss in multistage counter-flow paddy drying process T Li, C Li, B Li, C Li, Z Fang, Z Zeng, W Ou, J Huang Energy Reports 6, 2153-2166, 2020 | 24 | 2020 |
| Porosity of flowing rice layer: Experiments and numerical simulation T Li, C Li, C Li, F Xu, Z Fang Biosystems engineering 179, 1-12, 2019 | 24 | 2019 |
| Exergy analysis and optimisation of an industrial-scale circulation counter-flow paddy drying process C Li, Y Chen, X Zhang, G Mozafari, Z Fang, Y Cao, C Li Energy 251, 123901, 2022 | 17 | 2022 |
| Energy and exergy analyses of a combined infrared radiation-counterflow circulation (IRCC) corn dryer C Li, B Li, J Huang, C Li Applied Sciences 10 (18), 6289, 2020 | 13 | 2020 |
| Exergetic, energetic, and quality performance evaluation of paddy drying in a novel industrial multi-field synergistic dryer B Li, C Li, T Li, Z Zeng, W Ou, C Li Energies 12 (23), 4588, 2019 | 13 | 2019 |
| Developing an online measurement device based on resistance sensor for measurement of single grain moisture content in drying process C Li, B Li, J Huang, C Li Sensors 20 (15), 4102, 2020 | 11 | 2020 |
| Capacitive online corn moisture content sensor considering porosity distributions: modeling, design, and experiments C Li, X Zhang, M Meng, B Li, C Li Applied Sciences 11 (16), 7655, 2021 | 9 | 2021 |
| Online detection of impurities in corn deep-bed drying process utilizing machine vision T Li, J Tong, M Liu, M Yao, Z Xiao, C Li Foods 11 (24), 4009, 2022 | 5 | 2022 |
| Evaluating the dynamic characteristics and energetic performance of a paddy multistage counter-flow dryer C Li, Z Fang, J Zhong, B Li, C Li Biosystems Engineering 221, 208-223, 2022 | 5 | 2022 |
| Application of artificial neural network for prediction of key indexes of corn industrial drying by considering the ambient conditions B Li, C Li, J Huang, C Li Applied Sciences 10 (16), 5659, 2020 | 5 | 2020 |
| Experimental and Numerical Study on the Fluid Dynamics and Exergetic Performance of the Heat Exchanger in an Industrial Corn Drying System X Zhang, B Li, C Li, Y Zhang, M Meng, H Wang, C Li Applied Sciences 13 (5), 2966, 2023 | 2 | 2023 |
| Deep-Learning-Based Model Predictive Control of an Industrial-Scale Multistate Counter-Flow Paddy Drying Process Y Zhang, Z Fang, C Li, C Li Foods 13 (1), 43, 2023 | | 2023 |
