The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011–2100
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Citations
Cites
LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1
Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998) · JAWRA Journal of the American Water Resources Association · doi:10.1111/j.1752-1688.1998.tb05961.x · Cited by 7,945
Willmott, C., & Matsuura, K. (2005) · Climate Research · doi:10.3354/cr030079 · Cited by 6,512
Cited by
1 km monthly temperature and precipitation dataset for China from 1901 to 2017
Peng, S., Ding, Y., Liu, W., & Li, Z. (2019) · Earth System Science Data · doi:10.5194/essd-11-1931-2019 · Cited by 1,739
Self-citationSpatiotemporal Trends and Attribution of Drought across China from 1901–2100
Ding, Y., & Peng, S. (2020) · Sustainability · doi:10.3390/su12020477 · Cited by 283
Self-citation
Metadata
- Authors
- Peng, S., Ding, Y., Wen, Z., Chen, Y., Cao, Y., & Ren, J.
- Venue
- Agricultural and Forest Meteorology
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 233
- Pages
- 183-194
- ISSN
- 0168-1923 (ISSN-L)
- OpenAlex
- W2557972103
- Cited by
- 605
- References
- 2
- FWCI
- 5.12
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011–2100. https://app.cochat.ai/papers/10.1016/j.agrformet.2016.11.129
- The paper
- Peng, S., Ding, Y., Wen, Z., Chen, Y., Cao, Y., & Ren, J. (2017). Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011–2100. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2016.11.129
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.
