# | Document title | Authors | Year | Source | Cited by |
1 | Thai agriculture products traceability system using blockchain and Internet of Things | Surasak T., Wattanavichean N., Preuksakarn C., Huang S.C.H. | 2019 | International Journal of Advanced Computer Science and Applications 10(9),pp. 578-583 | 41 |
2 | Quantitative assessment of automatic reconstructions of branching systems obtained from laser scanning | Boudon F., Preuksakarn C., Preuksakarn C., Ferraro P., Diener J., Nacry P., Nikinmaa E., Godin C. | 2014 | Annals of Botany 114(4),pp. 853-862 | 41 |
3 | IoT-based smart crop-field monitoring of rice cultivation system for irrigation control and its effect on water footprint mitigation | Laphatphakkhanut R., Puttrawutichai S., Dechkrong P., Preuksakarn C., Wichaidist B., Vongphet J., Suksaroj C. | 2021 | Paddy and Water Environment
| 11 |
4 | Gfp pattern recognition in raman spectra by modified vgg networks for localisation tracking in living cells | Wattanavichean N., Boonchai J., Boonchai J., Yodthong S., Preuksakarn C., Huang S.C.H., Surasak T., Surasak T. | 2021 | Engineering Journal 25(2),pp. 151-160 | 7 |
5 | The prototype of thai blockchain-based voting system | Wisessing K., Ekthammabordee P., Surasak T., Surasak T., Huang S.C.H., Preuksakarn C. | 2020 | International Journal of Advanced Computer Science and Applications 11(5),pp. 63-68 | 7 |
6 | Toward theoretical synthesis of biocomputer | Kuo T., Lin C., Charoenkit N., Chen Y., Preuksakarn C. | 2017 | IET Systems Biology 11(1),pp. 36-43 | 3 |
7 | Discriminate Raman/GFP Spectra of Yeast Mitochondria Using Convolutional Neural Network | Wattanavichean N., Boonchai J., Yodthong S., Preuksakarn C., Huang S.C.H., Surasak T. | 2020 | InCIT 2020 - 5th International Conference on Information Technology ,pp. 1-6 | 1 |