| # | Document title | Authors | Year | Source | Cited by |
| 1 | Production of fish sauce and acceleration of sauce fermentation using proteolytic enzymes | Chaveesuk R., Smith J., Simpson B. | 1994 | Journal of Aquatic Food Product Technology
2(3),pp. 59-77 | 30 |
| 2 | Consumer preference mapping for rice product concepts | Suwannaporn P., Linnemann A., Chaveesuk R. | 2008 | British Food Journal
110(6),pp. 595-606 | 26 |
| 3 | An analysis of the influence of hand hole and ventilation hole design on compressive strength of corrugated fiberboard boxes by an artificial neural network model | Archaviboonyobul T., Chaveesuk R., Singh J., Jinkarn T. | 2020 | Packaging Technology and Science
33(4-5),pp. 171-181 | 17 |
| 4 | Economic valuation of capital projects using neural network metamodels | Chaveesuk R., Smith A. | 2003 | Engineering Economist
48(1),pp. 1-30 | 9 |
| 5 | Dual kriging: An exploratory use in economic metamodeling | Chaveesuk R., Smith A., Smith A. | 2005 | Engineering Economist
50(3),pp. 247-271 | 8 |
| 6 | Sodium benzoate stimulates xylitol production by Candida mogii | Sirisansaneeyakul S., Kop B., Tochampa W., Wannawilai S., Chaveesuk R., Lee W. | 2014 | Journal of the Taiwan Institute of Chemical Engineers
45(3),pp. 734-743 | 3 |
| 7 | Classifying Consumer Purchasing Decision for Imported Ready-to-Eat Foods in China Using Comparative Models | Lilavanichakul A., Chaveesuk R., Kessuvan A. | 2018 | Journal of Asia-Pacific Business
19(4),pp. 286-298 | 1 |
| 8 | Prediction using artificial neural networks of edgewise compression strength of corrugated fiberboards | Chaveesuk R., Santichiwasatiana B., Jinkarn T. | 2021 | Agriculture and Natural Resources
55(6),pp. 1062-1071 | 1 |
| 9 | Effect of ingredients on cooking quality, textural properties, and microstructure of fresh mung bean by-product gluten-free pasta | Adiba I.F., Sae-tan S., Katekhong W., Ritthiruangdej P., Chaveesuk R., Ratanasumawong S. | 2024 | International Journal of Food Science and Technology
| 0 |
| 10 | Neural network metamodel approach to capital investment decision analysis | Chaveesuk R., Smith A. | 1999 | Proceedings of the International Joint Conference on Neural Networks
6,pp. 3844-3849 | 0 |
| 11 | Artificial neural networks for prediction of beer's preference | Chaveesuk R., Saravanee A. | 2006 | 4th International Conference on Simulation and Modelling in the Food and Bio-Industry 2006, FOODSIM 2006
,pp. 62-66 | 0 |
| 12 | Modeling approach for releasing a frankfurter production batch | Chaveesuk R., Konjanattham N. | 2019 | British Food Journal
121(8),pp. 1813-1824 | 0 |