| # | Document title | Authors | Year | Source | Cited by |
| 1 | Moisture content prediction of paddy drying in a fluidized-bed drier with a vortex flow generator using an artificial neural network | Chokphoemphun S., Chokphoemphun S. | 2018 | Applied Thermal Engineering
145,pp. 630-636 | 52 |
| 2 | Experimental study and neural networks prediction on thermal performance assessment of grooved channel air heater | Chokphoemphun S., Hongkong S., Thongdaeng S., Chokphoemphun S. | 2020 | International Journal of Heat and Mass Transfer
163 | 17 |
| 3 | Evaluation of drying behavior and characteristics of potato slices in multi–stage convective cabinet dryer: Application of artificial neural network | Chokphoemphun S., Hongkong S., Chokphoemphun S. | 2023 | Information Processing in Agriculture
| 3 |
| 4 | Effect of conical air distributors on drying of peppercorns in a fluidized bed dryer: Prediction using an artificial neural network | Chuwattanakul V., Wongcharee K., Pimsarn M., Chokphoemphun S., Chamoli S., Eiamsa-Ard S. | 2022 | Case Studies in Thermal Engineering
36 | 2 |
| 5 | Image classification of lotus in Nong Han Chaloem Phrakiat Lotus Park using convolutional neural networks | Phattaraworamet T., Sangsuriyun S., Kutchomsri P., Chokphoemphun S. | 2024 | Artificial Intelligence in Agriculture
11,pp. 23-33 | 0 |
| 6 | Artificial neural network for drying behavior prediction of paddy in developed chamber fluidized–bed dryer | Chokphoemphun S., Hongkong S., Chokphoemphun S. | 2024 | Computers and Electronics in Agriculture
220 | 0 |