The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part I: Fundamentals
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Citations
Cites
Daugman, J. G. (1985) · Journal of the Optical Society of America A · doi:10.1364/josaa.2.001160 · Cited by 3,219
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
Nicolaï, B. M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K. I., & Lammertyn, J. (2007) · Postharvest Biology and Technology · doi:10.1016/j.postharvbio.2007.06.024 · Cited by 2,252
Two-dimensional spectral analysis of cortical receptive field profiles
Daugman, J. G. (1980) · Vision Research · doi:10.1016/0042-6989(80)90065-6 · Cited by 1,208
Variables selection methods in near-infrared spectroscopy
Xiaobo, Z., Jiewen, Z., Povey, M. J. W., Holmes, M., & Hanpin, M. (2010) · Analytica Chimica Acta · doi:10.1016/j.aca.2010.03.048 · Cited by 1,080
Theory and application of near infrared reflectance spectroscopy in determination of food quality
Cen, H., & He, Y. (2007) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2006.09.003 · Cited by 1,030
Colour measurements by computer vision for food quality control – A review
Wu, D., & Sun, D.-W. (2013) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2012.08.004 · Cited by 616
Self-citationHyperspectral Imaging for Food Quality Analysis and Control
(2010) · Elsevier eBooks · doi:10.1016/c2009-0-01853-4 · Cited by 532
Learning techniques used in computer vision for food quality evaluation: a review
Du, C., & Sun, D. (2005) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2004.11.017 · Cited by 391
Self-citationNear-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef
ElMasry, G., Sun, D.-W., & Allen, P. (2012) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2011.11.028 · Cited by 386
Self-citationLammertyn, J., Peirs, A., De Baerdemaeker, J., & Nicolaı̈, B. (2000) · Postharvest Biology and Technology · doi:10.1016/s0925-5214(99)00071-x · Cited by 364
Cited by
Close range hyperspectral imaging of plants: A review
Mishra, P., Asaari, M. S. M., Herrero-Langreo, A., Lohumi, S., Diezma, B., & Scheunders, P. (2017) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2017.09.009 · Cited by 319
Metadata
- Authors
- Wu, D., & Sun, D.-W.
- Venue
- Innovative Food Science & Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 19
- Pages
- 1-14
- ISSN
- 1466-8564 (ISSN-L)
- OpenAlex
- W4234549270
- Cited by
- 555
- References
- 32
- FWCI
- 29.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part I: Fundamentals. https://app.cochat.ai/papers/10.1016/j.ifset.2013.04.014
- The paper
- Wu, D., & Sun, D.-W. (2013). Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part I: Fundamentals. Innovative Food Science & Emerging Technologies. https://doi.org/10.1016/j.ifset.2013.04.014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
