| # | Document title | Authors | Year | Source | Cited by |
| 1 | Rice Diseases Recognition Using Effective Deep Learning Models | Mathulaprangsan S., Lanthong K., Jetpipattanapong D., Sateanpattanakul S., Patarapuwadol S. | 2020 | 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2020,
pp. 386-389, 9090709 | 35 |
| 2 | Rice disease recognition using effective deep neural networks | Mathulaprangsan S., Patarapuwadol S., Lanthong K., Jetpipattanapong D., Sateanpattanakul S. | 2021 | Journal of Web Engineering,
20(4), pp. 853-878 | 7 |
| 3 | JGroovy - An extensible java programming language with groovy | Sateanpattanakul S., Walairacht A. | 2010 | International Conference on Advanced Communication Technology, ICACT,
2, pp. 1139-1144, 5440239 | 2 |
| 4 | Java Bytecode Control Flow Classification: Framework for Guiding Java Decompilation | Sateanpattanakul S., Jetpipattanapong D., Mathulaprangsan S. | 2022 | Journal of Mobile Multimedia,
18(2), pp. 179-202 | 1 |
| 5 | Locality Preserved Joint Dictionary and Classifier Learning for Speech Emotion Recognition | Mathulaprangsan S., Sateanpattanakul S. | 2020 | 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, ECTI DAMT and NCON 2020,
pp. 390-394, 9090708 | 1 |
| 6 | JGroovy: An alternative approach to implement extensible Java compiler | Sateanpattanakul S., Hamamoto K., Walairacht A. | 2013 | IEEJ Transactions on Electrical and Electronic Engineering,
8(4), pp. 380-386 | 0 |
| 7 | Comments recovery approach for Java decompiler | Sateanpattanakul S. | 2016 | 2016 IEEE/ACIS 15th International Conference on Computer and Information Science, ICIS 2016 - Proceedings,
7550827 | 0 |