A-Xing Zhu

Management, Monitoring, Policy and Law · 2001–2020

A researcher in the Science corpus: 14 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 66 citations into it; #2,143 of 2,821 by trust here, #286 by citations
• Environmental Engineering — 63 citations into it; #2,839 of 5,479 by trust here, #1,223 by citations
• Artificial Intelligence — 40 citations into it
• Civil and Structural Engineering — 29 citations into it; #3,332 of 6,160 by trust here, #2,876 by citations
• Soil Science — 26 citations into it
• Ecology — 23 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Statistics and Probability — 9 citations into it

Whom A-Xing Zhu trusts overall

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

1. Alex B. McBratney
2. Gerard B. M. Heuvelink
3. Tomislav Hengl
4. Thomas F. A. Bishop
5. Tin Kam Ho
6. Richard Webster
7. Niko Speybroeck
8. George Forman
9. Ron Kohavi
10. George H. John

Who trusts A-Xing Zhu overall

1. Yasin Wahid Rabby
2. C. Qin
3. C. Brungard
4. Alexandre M. J.-C. Wadoux
5. Yones Khaledian
6. Ying-kui Li
7. Lin F. Yang
8. Feng Qi
9. A. Jafari

Papers from A-Xing Zhu's perspective

Ordered by how strongly the researchers A-Xing Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. Modelling soil variation: past, present, and future
3. Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context
4. An overview of pedometric techniques for use in soil survey
5. A generic framework for spatial prediction of soil variables based on regression-kriging
6. A comparison of prediction methods for the creation of field-extent soil property maps
7. The WEKA data mining software: an update
8. Case-Based Reasoning
9. Wrappers for Feature Subset Selection
10. The Random Subspace Method for Constructing Decision Forests

Their papers

• Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method (2020) — 60 citations
• Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps (2020) — 56 citations
• A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods (2019) — 144 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
• Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) (2018) — 449 citations
• Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method (2016) — 122 citations
• Mapping soil organic matter in small low-relief catchments using fuzzy slope position information (2012) — 54 citations
• Multi-scale digital terrain analysis and feature selection for digital soil mapping (2010) — 295 citations
• Construction of membership functions for predictive soil mapping under fuzzy logic (2010) — 108 citations
• Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods (2010) — 170 citations
• Prediction of soil properties using fuzzy membership values (2010) — 85 citations
• Soil Mapping Using GIS, Expert Knowledge, and Fuzzy Logic (2001) — 463 citations