The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
An evaluation of the statistical methods for testing the performance of crop models with observed data
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Citations
Cites
River flow forecasting through conceptual models part I — A discussion of principles
Nash, J. E., & Sutcliffe, J. V. (1970) · Journal of Hydrology · doi:10.1016/0022-1694(70)90255-6 · Cited by 23,674
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
Moriasi, D. N., Arnold, J. G., Liew, M. W. V., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007) · Transactions of the ASABE · doi:10.13031/2013.23153 · Cited by 13,446
Willmott, C. J. (1981) · Physical Geography · doi:10.1080/02723646.1981.10642213 · Cited by 4,916
Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation
Legates, D. R., & McCabe, G. J. (1999) · Water Resources Research · doi:10.1029/1998wr900018 · Cited by 4,591
The DSSAT cropping system model
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L. A., Wilkens, P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00107-7 · Cited by 4,465
Self-citationSome Comments on the Evaluation of Model Performance
Willmott, C. J. (1982) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1982)063<1309:scoteo>2.0.co;2 · Cited by 3,736
Comparison of different efficiency criteria for hydrological model assessment
Krause, P., Boyle, D. P., & Bäse, F. (2005) · Advances in Geosciences · doi:10.5194/adgeo-5-89-2005 · Cited by 2,809
Statistics for the evaluation and comparison of models
Willmott, C. J., Ackleson, S. G., Davis, R. E., Feddema, J. J., Klink, K. M., Legates, D. R., O'Donnell, J., & Rowe, C. M. (1985) · Journal of Geophysical Research: Oceans · doi:10.1029/jc090ic05p08995 · Cited by 2,026
Statistical and graphical methods for evaluating solute transport models: Overview and application
Loague, K., & Green, R. E. (1991) · Journal of Contaminant Hydrology · doi:10.1016/0169-7722(91)90038-3 · Cited by 1,570
A refined index of model performance
Willmott, C. J., Robeson, S. M., & Matsuura, K. (2012) · International Journal of Climatology · doi:10.1002/joc.2419 · Cited by 1,402
Metadata
- Authors
- Yang, J. M., Yang, J. Y., Liu, S., & Hoogenboom, G.
- Venue
- Agricultural Systems
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 127
- Pages
- 81-89
- ISSN
- 0308-521X (ISSN-L)
- OpenAlex
- W2094507162
- Cited by
- 355
- References
- 30
- FWCI
- 13.41
- 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.
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- CoChat. (2026). Citation check: An evaluation of the statistical methods for testing the performance of crop models with observed data. https://app.cochat.ai/papers/10.1016/j.agsy.2014.01.008
- The paper
- Yang, J. M., Yang, J. Y., Liu, S., & Hoogenboom, G. (2014). An evaluation of the statistical methods for testing the performance of crop models with observed data. Agricultural Systems. https://doi.org/10.1016/j.agsy.2014.01.008
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.