The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Principles of Hyperspectral Imaging Technology
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Citations
Cites
Near-Infrared Technology: In the Agricultural and Food Industries
Williams, P. C., & Norris, K. (2001) · Andalas University Repository (Andalas University) · Cited by 2,749
Performance of some variable selection methods when multicollinearity is present
Chong, I.-G., & Jun, C.-H. (2005) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2004.12.011 · Cited by 2,049
Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications
Pasquini, C. (2003) · Journal of the Brazilian Chemical Society · doi:10.1590/s0103-50532003000200006 · Cited by 922
Quality measurement of fruits and vegetables
Abbott, J. A. (1999) · Postharvest Biology and Technology · doi:10.1016/s0925-5214(98)00086-6 · Cited by 811
Recent developments in the applications of image processing techniques for food quality evaluation
Du, C.-J., & Sun, D.-W. (2004) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2003.10.006 · Cited by 594
Self-citationSignal processing for hyperspectral image exploitation
Shaw, G., & Manolakis, D. (2002) · IEEE Signal Processing Magazine · doi:10.1109/79.974715 · Cited by 417
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-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
HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY
Kim, M. S., Chen, Y. R., & Mehl, P. M. (2001) · Transactions of the ASAE · doi:10.13031/2013.6099 · Cited by 334
Mehl, P. M., Chen, Y.-R., Kim, M. S., & Chan, D. E. (2004) · Journal of Food Engineering · doi:10.1016/s0260-8774(03)00188-2 · Cited by 329
Cited by
On-line application of near infrared (NIR) spectroscopy in food production
Porep, J. U., Kammerer, D. R., & Carle, R. (2015) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2015.10.002 · Cited by 611
Detection of expired vacuum-packed smoked salmon based on PLS-DA method using hyperspectral images
Ivorra, E., Girón, J., Sánchez, A. J., Verdú, S., Barat, J. M., & Grau, R. (2013) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2013.02.022 · Cited by 61
Metadata
- Authors
- ElMasry, G., & Sun, D.-W.
- Venue
- Hyperspectral Imaging for Food Quality Analysis and Control
- Publisher
- Elsevier
- Published
- 2010
- Pages
- 3-43
- OpenAlex
- W1251273715
- Cited by
- 274
- References
- 20
- FWCI
- 16.27
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Principles of Hyperspectral Imaging Technology. https://app.cochat.ai/papers/10.1016/b978-0-12-374753-2.10001-2
- The paper
- ElMasry, G., & Sun, D.-W. (2010). Principles of Hyperspectral Imaging Technology. Hyperspectral Imaging for Food Quality Analysis and Control. https://doi.org/10.1016/b978-0-12-374753-2.10001-2
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.
