The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Visible and near-infrared reflectance techniques for diagnosing plant physiological status
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Citations
Cites
PROSPECT: A model of leaf optical properties spectra
Jacquemoud, S., & Baret, F. (1990) · Remote Sensing of Environment · doi:10.1016/0034-4257(90)90100-z · Cited by 2,400
The role of xanthophyll cycle carotenoids in the protection of photosynthesis
Demmig-Adams, B., & Adams, W. W. (1996) · Trends in Plant Science · doi:10.1016/s1360-1385(96)80019-7 · Cited by 1,673
Peñuelas, J., Gamon, J. A., Fredeen, A., Merino, J., & Field, C. B. (1994) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)90136-8 · Cited by 1,104
Self-citationGamon, J. A., Field, C. B., Goulden, M. L., Griffin, K. L., Hartley, A. E., Joel, G., Penuelas, J., & Valentini, R. (1995) · Ecological Applications · doi:10.2307/1942049 · Cited by 1,086
FILELLA, I., & PENUELAS, J. (1994) · International Journal of Remote Sensing · doi:10.1080/01431169408954177 · Cited by 828
Self-citationAssessment of photosynthetic radiation‐use efficiency with spectral reflectance
PEÑUELAS, J., FILELLA, I., & GAMON, J. A. (1995) · New Phytologist · doi:10.1111/j.1469-8137.1995.tb03064.x · Cited by 700
Self-citationEvaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis
Filella, I., Serrano, L., Serra, J., & Peñuelas, J. (1995) · Crop Science · doi:10.2135/cropsci1995.0011183x003500050023x · Cited by 572
Self-citationPRIMARY AND SECONDARY EFFECTS OF WATER CONTENT ON THE SPECTRAL REFLECTANCE OF LEAVES
Carter, G. A. (1991) · American Journal of Botany · doi:10.1002/j.1537-2197.1991.tb14495.x · Cited by 538
HIGH SPECTRAL RESOLUTION REMOTE SENSING OF FOREST CANOPY LIGNIN, NITROGEN, AND ECOSYSTEM PROCESSES
Martin, M. E., & Aber, J. D. (1997) · Ecological Applications · doi:10.1890/1051-0761(1997)007[0431:hsrrso]2.0.co;2 · Cited by 425
Fluorescence imaging as a diagnostic tool for plant stress
Lichtenthaler, H. K., & Miehé, J. A. (1997) · Trends in Plant Science · doi:10.1016/s1360-1385(97)89954-2 · Cited by 407
Cited by
Gitelson, A. A., Gritz †, Y., & Merzlyak, M. N. (2003) · Journal of Plant Physiology · doi:10.1078/0176-1617-00887 · Cited by 2,683
Plant breeding and drought in C3 cereals: What should we breed for?
ARAUS, J. L. (2002) · Annals of Botany · doi:10.1093/aob/mcf049 · Cited by 1,243
Recent advances in sensing plant diseases for precision crop protection
Mahlein, A.-K., Oerke, E.-C., Steiner, U., & Dehne, H.-W. (2012) · European Journal of Plant Pathology · doi:10.1007/s10658-011-9878-z · Cited by 579
Spectral Signatures of Photosynthesis. I. Review of Earth Organisms
Kiang, N. Y., Siefert, J., Govindjee, & Blankenship, R. E. (2007) · Astrobiology · doi:10.1089/ast.2006.0105 · Cited by 327
“It does not deal with horizontal variations (wavelengths of critical features) such as variation in other pigments that affect the visible spectrum, observations that the NIR end of the red edge may broaden in curvature and shift in location, and observations that the water absorbance bands may blue- or red-shift with…”
Yendrek, C. R., Tomaz, T., Montes, C. M., Cao, Y., Morse, A. M., Brown, P. J., McIntyre, L. M., Leakey, A. D. B., & Ainsworth, E. A. (2017) · Plant Physiology · doi:10.1104/pp.16.01447 · Cited by 308
Metadata
- Authors
- Peñuelas, J., & Filella, I.
- Venue
- Trends in Plant Science
- Publisher
- Elsevier BV
- Published
- 1998-04
- Volume
- 3
- Issue
- 4
- Pages
- 151-156
- ISSN
- 1360-1385 (ISSN-L)
- OpenAlex
- W1996379195
- Cited by
- 960
- References
- 14
- FWCI
- 1.40
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Visible and near-infrared reflectance techniques for diagnosing plant physiological status. https://app.cochat.ai/papers/10.1016/s1360-1385(98)01213-8
- The paper
- Peñuelas, J., & Filella, I. (1998). Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends in Plant Science. https://doi.org/10.1016/s1360-1385(98)01213-8
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.
