| # | Document title | Authors | Year | Source | Cited by |
| 1 | Superovulation with different doses of follicle stimulating hormone in Kamphaeng Saen beef cattle | Nilchuen P., Rattanatabtimtong S., Chomchai S. | 2011 | Songklanakarin Journal of Science and Technology,
33(6), pp. 679-683 | 8 |
| 2 | Superovulation with different doses of follicle stimulating hormone in Kamphaeng Saen beef cattle | Nilchuen P., Chomchai S., Rattanatabtimtong S. | 2012 | Journal of Animal and Veterinary Advances,
11(5), pp. 676-680 | 6 |
| 3 | Body measurements of beef cows by using mobile phone application and prediction of body weight with regression model | Nilchuen P., Yaigate T., Sumon W. | 2021 | Songklanakarin Journal of Science and Technology,
43(6), pp. 1635-1640 | 6 |
| 4 | Integrating deep learning and mobile imaging for assessment of automated conformational indices and weight prediction in Brahman cattle | Nilchuen P., Suwanasopee T., Koonawootrittriron S. | 2025 | Smart Agricultural Technology,
12, 101079 | 3 |
| 5 | Measurement of beef carcass ribeye area and backfat thickness using mobile phone application | Nilchuen P., Piamkhla S. | 2022 | Maejo International Journal of Science and Technology,
16(3), pp. 190-198 | 1 |
| 6 | Detection of standing estrus behaviour of beef cow using video images and deep machine learning | Nilchuen P., Yaigate T., Tungtrakoolsub P. | 2024 | Maejo International Journal of Science and Technology,
18(1), pp. 46-60 | 0 |
| 7 | Use of Adobe Photoshop for body measurements of crossbred beef cows and prediction of body weight after regression analysis | Nilchuen P., Yaigat T., Tungtrakoolsub P. | 2021 | International Journal of Agricultural Technology,
17(5), pp. 1857-1868 | 0 |