Renguang Zuo

Orcid: 0000-0002-5639-3128

According to our database1, Renguang Zuo authored at least 22 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration.
Comput. Geosci., January, 2024

An Evaluation of Convolutional Neural Networks for Lithological Mapping Based on Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Geological Mapping via Convolutional Neural Network Based on Remote Sensing and Geochemical Survey Data in Vegetation Coverage Areas.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022
Construction Land Information Extraction and Expansion Analysis of Xiaogan City Using One-Class Support Vector Machine.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A geologically-constrained deep learning algorithm for recognizing geochemical anomalies.
Comput. Geosci., 2022

Mineral prospectivity mapping using a joint singularity-based weighting method and long short-term memory network.
Comput. Geosci., 2022

2021
Lithological Mapping Based on Fully Convolutional Network and Multi-Source Geological Data.
Remote. Sens., 2021

Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery.
Remote. Sens., 2021

A positive and unlabeled learning algorithm for mineral prospectivity mapping.
Comput. Geosci., 2021

Spatial modelling of hydrothermal mineralization-related geochemical patterns using INLA+SPDE and local singularity analysis.
Comput. Geosci., 2021

2020
Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine.
Comput. Geosci., 2020

Mapping Himalayan leucogranites using a hybrid method of metric learning and support vector machine.
Comput. Geosci., 2020

2019
Decomposing the Long-term Variation in Population Exposure to Outdoor PM2.5 in the Greater Bay Area of China Using Satellite Observations.
Remote. Sens., 2019

A fractal model of granitic intrusion and variability based on cellular automata.
Comput. Geosci., 2019

2018
GIS-based rare events logistic regression for mineral prospectivity mapping.
Comput. Geosci., 2018

Identification of geochemical anomalies through combined sequential Gaussian simulation and grid-based local singularity analysis.
Comput. Geosci., 2018

2016
Recognition of geochemical anomalies using a deep autoencoder network.
Comput. Geosci., 2016

2015
A MATLAB-based program for processing geochemical data using fractal/multifractal modeling.
Earth Sci. Informatics, 2015

2011
Support vector machine: A tool for mapping mineral prospectivity.
Comput. Geosci., 2011

Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets.
Comput. Geosci., 2011

2009
Fractal characterization of the spatial distribution of geological point processes.
Int. J. Appl. Earth Obs. Geoinformation, 2009


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