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Zuo, Renguang, Xiong, Yihui, Wang, Jian, Carranza, Emmanuel John M. (2019) Deep learning and its application in geochemical mapping. Earth-Science Reviews, 192. 1-14 doi:10.1016/j.earscirev.2019.02.023

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Reference TypeJournal (article/letter/editorial)
TitleDeep learning and its application in geochemical mapping
JournalEarth-Science Reviews
AuthorsZuo, RenguangAuthor
Xiong, YihuiAuthor
Wang, JianAuthor
Carranza, Emmanuel John M.Author
Year2019 (May)Volume192
PublisherElsevier BV
DOIdoi:10.1016/j.earscirev.2019.02.023Search in ResearchGate
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Mindat Ref. ID540583Long-form Identifiermindat:1:5:540583:5
GUID0
Full ReferenceZuo, Renguang, Xiong, Yihui, Wang, Jian, Carranza, Emmanuel John M. (2019) Deep learning and its application in geochemical mapping. Earth-Science Reviews, 192. 1-14 doi:10.1016/j.earscirev.2019.02.023
Plain TextZuo, Renguang, Xiong, Yihui, Wang, Jian, Carranza, Emmanuel John M. (2019) Deep learning and its application in geochemical mapping. Earth-Science Reviews, 192. 1-14 doi:10.1016/j.earscirev.2019.02.023
In(2019) Earth-Science Reviews Vol. 192. Elsevier BV

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Zuo, Renguang, Carranza, Emmanuel John M., Wang, Jian (2016) Spatial analysis and visualization of exploration geochemical data. Earth-Science Reviews, 158. 9-18 doi:10.1016/j.earscirev.2016.04.006
Xiong, Yihui; Zuo, Renguang; Carranza, Emmanuel John M. (2018) Mapping mineral prospectivity through big data analytics and a deep learning algorithm. Ore Geology Reviews, 102. doi:10.1016/j.oregeorev.2018.10.006
Xu, Ying; Zuo, Renguang; Chen, Zhiyi; Shi, Zixian; Kreuzer, Oliver P. (2025) Recent advances and future research directions in deep learning as applied to geochemical mapping. Earth-Science Reviews, 270. doi:10.1016/j.earscirev.2025.105209
Zuo, Renguang, Xiong, Yihui (2020) Geodata science and geochemical mapping. Journal of Geochemical Exploration, 209. 106431 doi:10.1016/j.gexplo.2019.106431
Zuo, Renguang, Carranza, Emmanuel John M., Cheng, Qiuming (2012) Fractal/multifractal modelling of geochemical exploration data. Journal of Geochemical Exploration, 122. 1-3 doi:10.1016/j.gexplo.2012.09.009
Xiong, Yihui, Zuo, Renguang, Wang, Kexin, Wang, Jian (2018) Identification of geochemical anomalies via local RX anomaly detector. Journal of Geochemical Exploration, 189. 64-71 doi:10.1016/j.gexplo.2017.06.021
Xiong, Yihui; Zuo, Renguang (2017) Effects of misclassification costs on mapping mineral prospectivity. Ore Geology Reviews, 82. doi:10.1016/j.oregeorev.2016.11.014
Xiong, Yihui, Zuo, Renguang (2020) Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine. Computers & Geosciences, 140. 104484pp. doi:10.1016/j.cageo.2020.104484
Zuo, Renguang, Wang, Jian, Xiong, Yihui, Wang, Ziye (2021) The processing methods of geochemical exploration data: past, present, and future. Applied Geochemistry, 132. 105072pp. doi:10.1016/j.apgeochem.2021.105072
Wang, Gongwen, Carranza, Emmanuel John M., Zuo, Renguang, Hao, Yinglong, Du, Yangsong, Pang, Zhenshan, Sun, Yue, Qu, Jianan (2012) Mapping of district-scale potential targets using fractal models. Journal of Geochemical Exploration, 122. 34-46 doi:10.1016/j.gexplo.2012.06.013
Xiong, Yihui, Zuo, Renguang (2021) A positive and unlabeled learning algorithm for mineral prospectivity mapping. Computers & Geosciences, 147. 104667pp. doi:10.1016/j.cageo.2020.104667
 
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