Huichan Chai

Management, Monitoring, Policy and Law · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 50 citations into it
• Global and Planetary Change — 34 citations into it
• Safety, Risk, Reliability and Quality — 28 citations into it
• Mechanical Engineering — 23 citations into it
• Artificial Intelligence — 6 citations into it
• Atmospheric Science — 5 citations into it

Whom Huichan Chai trusts overall

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

1. Biswajeet Pradhan
2. Saro Lee
3. Hamid Reza Pourghasemi
4. Candan Gokceoglu
5. C. Baeza
6. Vladimir Naumovich Vapni
7. Hakan Ahmet Nefeslioglu
8. Alexander Brenning
9. Hyun-Joo Oh
10. Milos Marjanovic

Who trusts Huichan Chai overall

1. Xiaoshen Xie
2. Jiale Wang

Papers from Huichan Chai's perspective

Ordered by how strongly the researchers Huichan Chai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Statistical analysis of landslide susceptibility at Yongin, Korea
2. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
3. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
4. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
5. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
6. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
7. A procedure for landslide susceptibility zonation by the conditional analysis method
8. Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (Natural Hazards)
9. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data
10. Spatial prediction models for landslide hazards: review, comparison and evaluation

Their papers

• Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree (2019) — 121 citations
• A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (2016) — 113 citations
• Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China (2016) — 111 citations
• GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China (2015) — 128 citations