The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China
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
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
Savitzky, A., & Golay, M. J. E. (1964) · Analytical Chemistry · doi:10.1021/ac60214a047 · Cited by 21,904
Cited by
Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
Bolton, D. K., & Friedl, M. A. (2013) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2013.01.007 · Cited by 785
Agricultural remote sensing big data: Management and applications
Huang, Y., CHEN, Z.-X., YU, T., HUANG, X.-Z., & GU, X.-F. (2018) · Journal of Integrative Agriculture · doi:10.1016/s2095-3119(17)61859-8 · Cited by 448
Self-citationA Systematic Literature Review on Crop Yield Prediction with Deep Learning and Remote Sensing
Muruganantham, P., Wibowo, S., Grandhi, S., Samrat, N. H., & Islam, N. (2022) · Remote Sensing · doi:10.3390/rs14091990 · Cited by 339
MODIS-based corn grain yield estimation model incorporating crop phenology information
Sakamoto, T., Gitelson, A. A., & Arkebauer, T. J. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.12.017 · Cited by 254
High resolution wheat yield mapping using Sentinel-2
Hunt, M. L., Blackburn, G. A., Carrasco, L., Redhead, J. W., & Rowland, C. S. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111410 · Cited by 253
Metadata
- Authors
- Ren, J., Chen, Z., Zhou, Q., & Tang, H.
- Venue
- International Journal of Applied Earth Observation and Geoinformation
- Publisher
- Elsevier BV
- Published
- 2008-12
- Volume
- 10
- Issue
- 4
- Pages
- 403-413
- ISSN
- 0303-2434 (ISSN-L)
- 1569-8432
- OpenAlex
- W2057154121
- Cited by
- 312
- References
- 1
- FWCI
- 4.80
- 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: Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. https://app.cochat.ai/papers/10.1016/j.jag.2007.11.003
- The paper
- Ren, J., Chen, Z., Zhou, Q., & Tang, H. (2008). Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2007.11.003
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.
