Wei Chen

Management, Monitoring, Policy and Law · Science of the Total Environment · 2015–2021

A researcher in the Science corpus: 16 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 151 citations into it; #653 of 2,821 by trust here, #151 by citations
• Global and Planetary Change — 129 citations into it; #3,290 of 10,225 by trust here, #1,117 by citations
• Mechanical Engineering — 67 citations into it
• Safety, Risk, Reliability and Quality — 65 citations into it; #967 of 1,220 by trust here, #79 by citations
• Artificial Intelligence — 40 citations into it
• Atmospheric Science — 28 citations into it
• Environmental Engineering — 22 citations into it
• Statistics and Probability — 12 citations into it

Whom Wei Chen trusts overall

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

1. Biswajeet Pradhan
2. Saro Lee
3. Hamid Reza Pourghasemi
4. D. Tien Bui
5. Candan Gokceoglu
6. Haoyuan Hong
7. C. Baeza
8. Binh Thai Pham
9. Hakan Ahmet Nefeslioglu
10. Isik Yilmaz

Who trusts Wei Chen overall

1. Himan Shahabi
2. D. Tien Bui
3. Xiaoshen Xie
4. Binh Thai Pham
5. Ataollah Shirzadi
6. Haoyuan Hong
7. Biswajeet Pradhan
8. Qiqing Wang
9. Yongquan Yang
10. Dong Van Dao

Papers from Wei Chen's perspective

Ordered by how strongly the researchers Wei Chen 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 mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
4. Statistical analysis of landslide susceptibility at Yongin, Korea
5. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
6. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
7. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data
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. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
10. Spatial prediction models for landslide hazards: review, comparison and evaluation

Their papers

• Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer (2021) — 180 citations
• Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models (2019) — 115 citations
• Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis (2019) — 130 citations
• Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree (2019) — 121 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
• Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques (2017) — 365 citations
• Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling (2017) — 314 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
• 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