Korea Institute of Geoscience and Mineral Resources

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Kangwon National University韩国6
2. Seoul National University韩国3
3. University of Hawaiʻi at Mānoa美国3
4. Korea University韩国2
5. National Institute of Environmental Research韩国2
6. University of Nebraska–Lincoln美国2
7. K. N. Toosi University of Technology伊朗2
8. Tarbiat Modares University伊朗2

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逐年被引

最新文献

1. 1
   Energy-efficient mechanical treatment process design for recycling of end-of-life lithium-ion batteriesProcess Safety and Environmental Protection20260
2. 2
   First-principles constraints on strontium coprecipitation and partitioning in calciteJournal of Hazardous Materials20261
3. 3
   Deep learning-enhanced geospatial modeling for indoor radon mapping in Jeollabuk-do, South KoreaGeomatics, Natural Hazards and Risk20254
4. 4
   Tsunami hazard potential of submarine landslides in the southwestern East Sea (Sea of Japan)Natural Hazards20254
5. 5
   Remediating zinc-contaminated groundwater with calcium polysulfide using model porous media and simulated groundwaterJournal of Hazardous Materials20254
6. 6
   Deep learning models for drought susceptibility mapping in Southeast Queensland, AustraliaStochastic Environmental Research and Risk Assessment20258
7. 7
   Assessing the persistence of a contaminant plume generated by linear aquifer source depletion and back diffusion from an aquitardJournal of Hazardous Materials20244
8. 8
   Predicting leachate impact on groundwater using electrical conductivity and oxidation–reduction potential measurements: An empirical and theoretical approachJournal of Hazardous Materials202410
9. 9
   Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, IranNatural Hazards202218
10. 10
    Landslide susceptibility mapping using deep learning models in Ardabil province, IranStochastic Environmental Research and Risk Assessment202239

高被引文献

1. 1
   Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithmsGeomatics, Natural Hazards and Risk2021108
2. 2
   Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine modelsGeomatics, Natural Hazards and Risk201874
3. 3
   A method for predicting the factor of safety of an infinite slope based on the depth ratio of the wetting front induced by rainfall infiltrationNatural Hazards and Earth System Sciences201551
4. 4
   Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mappingNatural Hazards202240
5. 5
   Landslide susceptibility mapping using deep learning models in Ardabil province, IranStochastic Environmental Research and Risk Assessment202239
6. 6
   GIS-based regional assessment of seismic site effects considering the spatial uncertainty of site-specific geotechnical characteristics in coastal and inland urban areasGeomatics, Natural Hazards and Risk201737
7. 7
   Integrated system for site-specific earthquake hazard assessment with geotechnical spatial grid information based on GISNatural Hazards201628
8. 8
   Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modellingStochastic Environmental Research and Risk Assessment202124
9. 9
   A GIS-Based Framework for Real-Time Debris-Flow Hazard Assessment for Expressways in KoreaInternational Journal of Disaster Risk Science201621
10. 10
    Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, IranNatural Hazards202218

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