The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Using quantile regression forest to estimate uncertainty of digital soil mapping products
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Citations
Cites
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R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
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Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,522
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
McBratney, A. B., Mendonça Santos, M. L., & Minasny, B. (2003) · Geoderma · doi:10.1016/s0016-7061(03)00223-4 · Cited by 3,651
Meinshausen, N. (2006) · Cited by 1,521
Bhattacharyya, T. (2009) · Cited by 1,220
Hengl, T., Heuvelink, G. B. M., Kempen, B., Leenaars, J. G. B., Walsh, M. G., Shepherd, K. D., Sila, A., MacMillan, R. A., Mendes de Jesus, J., Tamene, L., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0125814 · Cited by 935
Odeh, I. O. A., McBratney, A. B., & Chittleborough, D. J. (1995) · Geoderma · doi:10.1016/0016-7061(95)00007-b · Cited by 695
Cited by
Machine learning for digital soil mapping: Applications, challenges and suggested solutions
Wadoux, A. M. J.-C., Minasny, B., & McBratney, A. B. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103359 · Cited by 731
Predicting into unknown space? Estimating the area of applicability of spatial prediction models
Meyer, H., & Pebesma, E. (2021) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13650 · Cited by 662
Mapping high resolution National Soil Information Grids of China
Liu, F., Wu, H., Zhao, Y., Li, D., Yang, J.-L., Song, X., Shi, Z., Zhu, A.-X., & Zhang, G.-L. (2022) · Science Bulletin · doi:10.1016/j.scib.2021.10.013 · Cited by 639
Selecting appropriate machine learning methods for digital soil mapping
Khaledian, Y., & Miller, B. A. (2020) · Applied Mathematical Modelling · doi:10.1016/j.apm.2019.12.016 · Cited by 448
Rudiyanto, Minasny, B., Setiawan, B. I., Saptomo, S. K., & McBratney, A. B. (2018) · Geoderma · doi:10.1016/j.geoderma.2017.10.018 · Cited by 143
Metadata
- Authors
- Vaysse, K., & Lagacherie, P.
- Venue
- Geoderma
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 291
- Pages
- 55-64
- ISSN
- 0016-7061 (ISSN-L)
- OpenAlex
- W2567805992
- Cited by
- 359
- References
- 18
- FWCI
- 12.05
- 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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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.
