| # | Document title | Authors | Year | Source | Cited by |
| 1 | Automated quality inspection of baby corn using image processing and deep learning | Wonggasem K., Chakranon P., Wongchaisuwat P. | 2024 | Artificial Intelligence in Agriculture,
11, pp. 61-69 | 38 |
| 2 | Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques | Wongchaisuwat P., Chakranon P., Yinpin A., Onwimol D., Wonggasem K. | 2025 | Smart Agricultural Technology,
10, 100820 | 17 |
| 3 | Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging | Onwimol D., Chakranon P., Wonggasem K., Wongchaisuwat P. | 2025 | Journal of Agriculture and Food Research,
21, 101836 | 11 |
| 4 | Utilization of Machine Learning and Hyperspectral Imaging Technologies for Classifying Coated Maize Seed Vigor: A Case Study on the Assessment of Seed DNA Repair Capability | Wonggasem K., Wongchaisuwat P., Chakranon P., Onwimol D. | 2024 | Agronomy,
14(9), 1991 | 10 |
| 5 | Multi-objective optimization of hard turning of AISI 6150 using PCA-based desirability index for correlated objectives | Wonggasem K., Wagner T., Trautmann H., Biermann D., Weihs C. | 2013 | Procedia CIRP,
12, pp. 13-18 | 5 |