The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hyperspectral image analysis. A tutorial
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Citations
Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Cited by
Discriminant analysis is an inappropriate method of authentication
Rodionova, O. Y., Titova, A. V., & Pomerantsev, A. L. (2016) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2016.01.010 · Cited by 270
Rozenstein, O., Puckrin, E., & Adamowski, J. (2017) · Waste Management · doi:10.1016/j.wasman.2017.07.023 · Cited by 141
Metadata
- Authors
- Amigo, J. M., Babamoradi, H., & Elcoroaristizabal, S.
- Venue
- Analytica Chimica Acta
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 896
- Pages
- 34-51
- ISSN
- 0003-2670 (ISSN-L)
- OpenAlex
- W2098136451
- Cited by
- 379
- References
- 1
- FWCI
- 15.76
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Hyperspectral image analysis. A tutorial. https://app.cochat.ai/papers/10.1016/j.aca.2015.09.030
- The paper
- Amigo, J. M., Babamoradi, H., & Elcoroaristizabal, S. (2015). Hyperspectral image analysis. A tutorial. Analytica Chimica Acta. https://doi.org/10.1016/j.aca.2015.09.030
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.