| # | Document title | Authors | Year | Source | Cited by |
| 1 | Empirical reduction of rind effect on rind and flesh absorbance for evaluation of durian maturity using near infrared spectroscopy | Phuangsombut K., Phuangsombut A., Talabnark A., Terdwongworakul A. | 2018 | Postharvest Biology and Technology,
142, pp. 55-59 | 14 |
| 2 | Combination of visible reflectance and acoustic response to improve non-destructive assessment of maturity and indirect prediction of internal quality of red-fleshed pomelo | Phuangsombut K., Phuangsombut A., Terdwongworakul A. | 2020 | International Journal of Food Science and Technology | 8 |
| 3 | Multi-parameter index for durian maturity and its prediction using miniature near infrared spectrometer | Cheepsomsong T., Sangwanangkul P., Puttipipatkajorn A., Terdwongworakul A., Puttipipatkajorn A., Kulmutiwat S., Phuangsombut A. | 2023 | Postharvest Biology and Technology,
205, 112487 | 7 |
| 4 | Application of miniaturized near-infrared spectrometer for indirectly determining flesh thickness of intact polished coconut | Phuangsombut A., Phuangsombut K., Meetim J., Terdwongworakul A. | 2023 | Postharvest Biology and Technology,
198, 112224 | 5 |
| 5 | Improved evaluation of commercial cane sugar content in sugarcane stalk using near infrared hyperspectral imaging and stalk axis rotation technique | Chiatrakul J., Terdwongworakul A., Phuangsombut K., Phuangsombut A. | 2022 | Biosystems Engineering,
223, pp. 161-173 | 3 |
| 6 | Empirical approach to improve the prediction of soluble solids content in mango using near-infrared spectroscopy | Phuangsombut K., Phuangsombut A., Terdwongworakul A. | 2020 | International Food Research Journal,
27(2), pp. 217-223 | 3 |
| 7 | Detection of dry rubber content in rubber cup lumps using electrical impedance spectroscopy | Phuangsombut K., Phuangsombut A., Terdwongworakul A. | 2020 | Indian Journal of Agricultural Sciences,
90(4), pp. 832-834 | 0 |
| 8 | Evaluation of durian maturity using short-range, coded-light, three-dimensional scanner with machine learning | Cheepsomsong T., Phuangsombut A., Phuangsombut K., Sangwanangkul P., Siriphanich J., Terdwongworakul A. | 2025 | Postharvest Biology and Technology,
222, 113342 | 0 |