The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Supervised pattern recognition in food analysis
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hawkins, D. M. (2004) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci0342472 · Cited by 2,522
Genetic algorithms in chemometrics and chemistry: a review
Leardi, R. (2001) · Journal of Chemometrics · doi:10.1002/cem.651 · Cited by 397
A Novel Method for Building Regression Tree Models for QSAR Based on Artificial Ant Colony Systems
Izrailev, S., & Agrafiotis, D. (2001) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci000336s · Cited by 66
Cited by
Elmasry, G., Kamruzzaman, M., Sun, D.-W., & Allen, P. (2012) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2010.543495 · Cited by 466
A systematic comparison of supervised classifiers
Amancio, D. R., Comin, C. H., Casanova, D., Travieso, G., Bruno, O. M., Rodrigues, F. A., & da Fontoura Costa, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094137 · Cited by 225
Current application of chemometrics in traditional Chinese herbal medicine research
Huang, Y., Wu, Z., Su, R., Ruan, G., Du, F., & Li, G. (2016) · Journal of Chromatography B · doi:10.1016/j.jchromb.2015.12.050 · Cited by 63
Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques
Mostafa, M. M., & El-Masry, A. A. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.03.007 · Cited by 60
Metabolomic Biomarkers in Mental Disorders: Bipolar Disorder and Schizophrenia
Quintero, M., Stanisic, D., Cruz, G., Pontes, J. G. M., Costa, T. B. B. C., & Tasic, L. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-030-05542-4_14 · Cited by 32
Metadata
- Authors
- Berrueta, L. A., Alonso-Salces, R. M., & Héberger, K.
- Venue
- Journal of Chromatography A
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 1158
- Issue
- 1-2
- Pages
- 196-214
- ISSN
- 0021-9673 (ISSN-L)
- OpenAlex
- W2018244852
- Cited by
- 931
- References
- 3
- FWCI
- 30.74
- 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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Supervised pattern recognition in food analysis. https://app.cochat.ai/papers/10.1016/j.chroma.2007.05.024
- The paper
- Berrueta, L. A., Alonso-Salces, R. M., & Héberger, K. (2007). Supervised pattern recognition in food analysis. Journal of Chromatography A. https://doi.org/10.1016/j.chroma.2007.05.024
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.