The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
GEPIC – modelling wheat yield and crop water productivity with high resolution on a global scale
Overview
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Citations
Cites
Climate and the efficiency of crop production in Britain
Monteith, J. L. (1977) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1977.0140 · Cited by 3,484 · cited 1×
“Potential increase in biomass for a day is estimated using Monteith’s approach (Monteith, 1977).”
MethodModel for predicting evaporation from a row crop with incomplete cover
Ritchie, J. T. (1972) · Water Resources Research · doi:10.1029/wr008i005p01204 · Cited by 2,240
Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC
Wang, X., He, X., Williams, J. R., Izaurralde, R. C., & Atwood, J. D. (2005) · Transactions of the ASAE · doi:10.13031/2013.18515 · Cited by 144
Self-citation
Cited by
Rosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222463110 · Cited by 2,319
Self-citationYield gap analysis with local to global relevance—A review
van Ittersum, M. K., Cassman, K. G., Grassini, P., Wolf, J., Tittonell, P., & Hochman, Z. (2013) · Field Crops Research · doi:10.1016/j.fcr.2012.09.009 · Cited by 1,652
Siebert, S., & Döll, P. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2009.07.031 · Cited by 874
Leng, G., & Hall, J. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.10.434 · Cited by 729
A high-resolution assessment on global nitrogen flows in cropland
Liu, J., You, L., Amini, M., Obersteiner, M., Herrero, M., Zehnder, A. J. B., & Yang, H. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913658107 · Cited by 620
Self-citation
Metadata
- Authors
- Liu, J., Williams, J. R., Zehnder, A. J. B., & Yang, H.
- Venue
- Agricultural Systems
- Publisher
- Elsevier BV
- Published
- 2007-05
- Volume
- 94
- Issue
- 2
- Pages
- 478-493
- ISSN
- 0308-521X (ISSN-L)
- OpenAlex
- W2065639733
- Cited by
- 409
- References
- 3
- FWCI
- 30.13
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: GEPIC – modelling wheat yield and crop water productivity with high resolution on a global scale. https://app.cochat.ai/papers/10.1016/j.agsy.2006.11.019
- The paper
- Liu, J., Williams, J. R., Zehnder, A. J. B., & Yang, H. (2007). GEPIC – modelling wheat yield and crop water productivity with high resolution on a global scale. Agricultural Systems. https://doi.org/10.1016/j.agsy.2006.11.019
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.