| # | Document title | Authors | Year | Source | Cited by |
| 1 | Teleoperation of an Industrial Robot using a Non-Standalone 5G Mobile Network | Yaovaja K., Klunngien J. | 2019 | 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2019,
pp. 320-323, 8942700 | 18 |
| 2 | The development of cyber-physical framework for classifying health beverage flavor for the ageing society | Kengpol A., Klunngien J. | 2019 | Procedia Manufacturing,
39, pp. 40-49 | 9 |
| 3 | Design of a machine learning to classify health beverages preferences for elderly people: an empirical study during COVID-19 in Thailand | Kengpol A., Klunngien J. | 2022 | International Journal of Industrial and Systems Engineering,
42(3), pp. 319-337 | 2 |
| 4 | An intelligent risk assessment on prediction of COVID-19 pandemic using DNN and TSA: An empirical case study in Thailand | Kengpol A., Klunngien J. | 2024 | Expert Systems with Applications,
253, 124311 | 2 |
| 5 | Corrigendum to “An intelligent risk assessment on prediction of COVID-19 pandemic using DNN and TSA: An empirical case study in Thailand” [Expert Syst. Appl. 253 (2024) 124311] (S0957417424011771), (10.1016/j.eswa.2024.124311) | Kengpol A., Klunngien J. | 2024 | Expert Systems with Applications,
124477 | 0 |