The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Cited by
Rahmati, O., Pourghasemi, H. R., & Zeinivand, H. (2016) · Geocarto International · doi:10.1080/10106049.2015.1041559 · Cited by 632
Khosravi, K., Nohani, E., Maroufinia, E., & Pourghasemi, H. R. (2016) · Natural Hazards · doi:10.1007/s11069-016-2357-2 · Cited by 528
Chen, W., Li, H., Hou, E., Wang, S., Wang, G., Panahi, M., Li, T., Peng, T., Guo, C., Niu, C., et al. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.04.055 · Cited by 341
Hammami, S., Zouhri, L., Souissi, D., Souei, A., Zghibi, A., Marzougui, A., & Dlala, M. (2019) · Arabian Journal of Geosciences · doi:10.1007/s12517-019-4754-9 · Cited by 277
Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud
Swain, K. C., Singha, C., & Nayak, L. (2020) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi9120720 · Cited by 273
Metadata
- Authors
- Tehrany, M. S., Pradhan, B., & Jebur, M. N.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 512
- Pages
- 332-343
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2042315239
- Cited by
- 1,005
- References
- 1
- FWCI
- 27.68
- 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: Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. https://app.cochat.ai/papers/10.1016/j.jhydrol.2014.03.008
- The paper
- Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2014). Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2014.03.008
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.
