Selected Journal Service

  • Journal of Food, Agriculture and Environment (JFAE) – Editor Board
  • Meat Science –Reviewer
  • Food Chemistry – Reviewer
  • Journal of Animal Science - Reviewer
  • Canadian Journal of Animal Science - Reviewer
  • Analytica Chimica Acta - Reviewer
  • Food Analytical Methods - Reviewer
  • Food Reviews International – Reviewer
  • Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy – Reviewer

Selected Journal Artical

  1. Sun, X., Young, J. M, Liu, J. H., and Newman, D. (2018). Predicting pork color scores using computer vision and support vector machine technology. Meat and Muscle Biology. Accepted. Corresponded Author.
  2. Sun, X., Young, J., Liu, J. H., and Newman, D. (2018). Prediction of pork loin quality using online computer vision system and artificial intelligence model. Meat Science, 140, 72-77. Corresponded Author.
  3. Liu, J. H., Sun, X., Young, J. M., Bachmeier, L. A., and Newman, D.(2018). Predicting pork loin intramuscular fat using computer vision system. Meat Science, 143, 18-23.
  4. Xu, Y., Chen, Q., Liu, Y., Sun, X., Huang, Q., Ouyang, Q., and Zhao, J. (2018). A Novel Hyperspectral Microscopic Imaging System for Evaluating Fresh Degree of Pork. Korean Journal for Food Science of Animal Resources, 38(2), 362-375.
  5. Greenberg, J. A., Grazul-Bilska, A. T., Webb, B. T., Sun, X., and Vonnahme, K. A. (2017). A Preliminary Evaluation of Ovine Bladder Mucosal Damage Associated With 2 Different Indwelling Urinary Catheters. Urology, 110, 248-252.
  6. Sun, X., Newman, D., Liu, J. H., Young, J., and Bachmeier, L. (2016). Predicting pork two tone color grade using image color features and support vector machine. Meat Science, (112), 154-155.
  7. Li, H. H., Sun, X., Pan W. X., Kutsanedzie F., Zhao J. W., and Chen Q. S. (2016). Feasibility study on nondestructively sensing meat's freshness using light scattering imaging technique. Meat Science, (119): 102-109.
  8. Sun, X., Young, J. M, Liu, J. H., Bachmeier L., Somers R. M., Chen K. J., and Newman, D. (2016). Prediction of pork color attributes using computer vision system. Meat Science, 113, 62-64.
  9. Chen, G., Sun, X., Huang, Y., and Chen, K. (2014). Tracking the dehydration process of raw honey by synchronous two-dimensional near-infrared correlation spectroscopy. Journal of Molecular Structure, 1076, 42-48.
  10. Sun, X., Chen, K. J., Berg, E. P., Newman, D. J., Schwartz, C. A., Keller, W. L., and Maddock Carlin, K. R. (2014). Prediction of troponin-T degradation using color image texture features in 10d aged beef longissimus steaks. Meat science, 96(2), 837-842.
  11. Sun, X., Chen K. J., Maddock- Carlin K. R., Anderson V. L., Lepper A. N., Schwartz C.A., Keller W. L., Ilse B. R., Magolski J. D. and Berg E. P. (2012). Predicting beef tenderness using color and multispectral image texture features. Meat Science, (4): 382-393.
  12. Chen K. J., Huang, M., Sun, X. (2010). Potential use of NIR spectroscopy for the estimation of milled rice yield. Transactions of the ASABE, 53(2):1-6.
  13. Chen, K. J., Sun, X., Qin, C., and Tang, X. (2010). Color grading of beef fat by using computer vision and support vector machine. Computers and Electronics in Agriculture, (70):27-32.
  14. Chen, K. J., Sun, X., and Lu, Q. (2009). Automatic color grading of beef lean tissue based on BP neural network and computer vision. Transactions of the Chinese Society for Agricultural Machinery, 40(4), 173-178.

Book Chapter

  1. Sun, X., Berg, E. P. CH07 - Factors affecting the colour and texture of pig meat. Achieving sustainable production of pig meat. (2017). Burleigh Dodds Science Publishing.
  2. Zhang, Y., Sun, X., Bajwa, S., G., Sivarajan, S., Nowatzki, J., Khan, M. Chapter 8: Plant Disease Monitoring with Vibrational Spectroscopy. Vibrational Spectroscopy for Plant Varieties and Cultivar Characterization. (2018). Elsevier.
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