Hyun-Joo Oh

Management, Monitoring, Policy and Law · 2011–2012

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 8 citations into it; #269 of 2,821 by trust here, #473 by citations
• Safety, Risk, Reliability and Quality — 8 citations into it
• Mechanical Engineering — 5 citations into it; #821 of 8,300 by trust here, #3,295 by citations

Whom Hyun-Joo Oh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Saro Lee
2. Biswajeet Pradhan
3. Isik Yilmaz

Who trusts Hyun-Joo Oh overall

1. Hamid Reza Pourghasemi
2. Biswajeet Pradhan
3. Wei Chen
4. D. Tien Bui
5. Bakhtiar Feizizadeh
6. Christos Polykretis
7. Liangjie Wang
8. Mohammad Esmaeili
9. Moung-Jin Lee
10. Thomas Blaschke

Papers from Hyun-Joo Oh's perspective

Ordered by how strongly the researchers Hyun-Joo Oh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical analysis of landslide susceptibility at Yongin, Korea
2. A procedure for landslide susceptibility zonation by the conditional analysis method
3. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network
4. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data
5. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
6. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
7. Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey)
8. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
9. An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy)
10. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

Their papers

• Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS (2012) — 303 citations
• Ensemble-based landslide susceptibility maps in Jinbu area, Korea (2012) — 92 citations
• Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area (2011) — 444 citations