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Geochemistry and Geologic Mapping
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the application of machine learning, remote sensing, and compositional data analysis techniques for mineral prospectivity mapping. It explores the use of advanced technologies such as ASTER and hyperspectral imaging to identify geological features, geochemical anomalies, and hydrothermal alterations associated with mineralization. The cluster also delves into the challenges and opportunities in using support vector machines, fractal modeling, and statistical analysis for predicting undiscovered mineral deposits.
51
Works
IDs:OpenAlex
How has Geochemistry and Geologic Mapping's publication output changed over time?
ScholarIQpublication output · 2005–2025
Output grew0% over the shown period — from 1 works in 2005 to 1 in 2025.
1
1
1
1
2
2
1
1
20052010201820192020202220232025
What are the most-cited papers on Geochemistry and Geologic Mapping?
ScholarIQmost cited works
Normalizing XRF-scanner data: A cautionary note on the interpretation of high-resolution records from organic-rich lakes
Ludvig Löwemark, Huei‐Fen Chen, T.-N. Yang, Malin E. Kylander, Ein‐Fen Yu, Yung-Chang Hsu, T.-Q. Lee, Sheng‐Rong Song, Stuart Jarvis
S80045625. 2010325 Citations
Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning
Kun Tan, Weibo Ma, Lihan Chen, Huimin Wang, Qian Du, Peijun Du, Bokun Yan, Rongyuan Liu, Haidong Li
Journal of Hazardous Materials. 2020229 Citations
Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco
Imane Bachri, Mustapha Hakdaoui, Mohammed Raji, Ana Cláudia Teodoro, Abdelmajid Benbouziane
S2764431341. 2019130 CitationsOPEN ACCESS
Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites
Joana Cardoso-Fernandes, Ana Cláudia Teodoro, Alexandre Lima
S4210179989. 2018119 Citations
Semi-Automatization of Support Vector Machines to Map Lithium (Li) Bearing Pegmatites
Joana Cardoso-Fernandes, Ana Cláudia Teodoro, Alexandre Lima, Encarnación Roda-Robles
S43295729. 202089 CitationsOPEN ACCESS
Where is Geochemistry and Geologic Mapping research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Geochemistry and Geologic Mapping is open access?
ScholarIQopen access share
40%OPEN ACCESS
Gold
30%
Green
10%
Hybrid
0%
Bronze
0%
Closed
60%
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