Bedrock mapping based on terrain weighted directed graph convolutional network using stream sediment geochemical samplings-Reference-Cited by-同舟云学术

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Bedrock mapping based on terrain weighted directed graph convolutional network using stream sediment geochemical samplings

Published:2023-09 Issue:9 Volume:33 Page:2299-2814
ISSN:1003-6326
Container-title:Transactions of Nonferrous Metals Society of China
language:en
Short-container-title:Transactions of Nonferrous Metals Society of China

Author:

ZHANG Bao-yi,LI Man-yi,HUAN Yu-ke,KHAN Umair,WANG Li-fang,WANG Fan-yun

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Materials Chemistry,Metals and Alloys,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics

Reference36 articles.

1. Manganese potential mapping in western Guangxi-southeastern Yunnan (China) via spatial analysis and modal-adaptive prospectivity modeling [J];WANG;Transactions of Nonferrous Metals Society of China,2020

2. Deciphering anomalous Ag enrichment recorded by galena in Dayingezhuang Au(-Ag) deposit, Jiaodong Peninsula, Eastern China [J];LIU;Transactions of Nonferrous Metals Society of China,2021

3. Ore-forming environment of Pb-Zn mineralization related to granite porphyry at Huangshaping skarn deposit, Nanling Range, South China [J];ZHU;Transactions of Nonferrous Metals Society of China,2022

4. Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas [J];CHENG;Journal of Geochemical Exploration,2012

5. Detection of deep and blind mineral deposits using new proposed frequency coefficients method in frequency domain of geochemical data [J];SHAHI;Journal of Geochemical Exploration,2016

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