Haoyuan Hong

Management, Monitoring, Policy and Law · 2015–2020

A researcher in the Science corpus: 16 papers; trusts 15 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 143 citations into it; #335 of 2,821 by trust here, #96 by citations
• Global and Planetary Change — 119 citations into it; #1,868 of 10,225 by trust here, #883 by citations
• Safety, Risk, Reliability and Quality — 62 citations into it
• Mechanical Engineering — 59 citations into it
• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Statistics and Probability — 21 citations into it
• Environmental Engineering — 19 citations into it

Whom Haoyuan Hong trusts overall

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

1. Biswajeet Pradhan
2. Hamid Reza Pourghasemi
3. Seyed Amir Naghibi
4. D. Tien Bui
5. R. Fisher
6. Theofanis Sapatinas
7. Wei Chen
8. C. Baeza
9. Saro Lee
10. Leo Breiman

Who trusts Haoyuan Hong overall

1. Binh Thai Pham
2. Wei Chen
3. D. Tien Bui
4. Khabat Khosravi
5. Himan Shahabi
6. Ataollah Shirzadi
7. E. Kutlug Sahin
8. Yasin Wahid Rabby
9. Mahdi Panahi
10. Hamid Reza Pourghasemi

Papers from Haoyuan Hong's perspective

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

1. 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)
2. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
3. 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)
4. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
7. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
8. ImageNet classification with deep convolutional neural networks
9. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach
10. Gradient-based learning applied to document recognition

Their papers

• Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping (2020) — 349 citations
• Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China. (2019) — 481 citations
• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods (2019) — 629 citations
• A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods (2019) — 144 citations
• Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques (2019) — 48 citations
• Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution. (2018) — 389 citations
• GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method (2018) — 257 citations
• Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (2018) — 426 citations
• A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment (2018) — 115 citations
• Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods (2018) — 121 citations
• Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) (2018) — 449 citations
• A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility (2017) — 836 citations
• A comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in China (2017) — 117 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
• Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines (2015) — 432 citations