# | Title | Journal | Year | Citations |
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1 | Application of frequency ratio and weights of evidence models in landslide susceptibility mapping for the Shangzhou District of Shangluo City, China | Environmental Earth Sciences | 2016 | 767 |
2 | Using correlation and multivariate statistical analysis to identify hydrogeochemical processes affecting the major ion chemistry of waters: a case study in Laoheba phosphorite mine in Sichuan, China | Arabian Journal of Geosciences | 2014 | 269 |
3 | New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling | Water (Switzerland) | 2018 | 187 |
4 | Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms | International Journal of Environmental Research and Public Health | 2020 | 177 |
5 | A comparative study of landslide susceptibility maps produced using support vector machine with different kernel functions and entropy data mining models in China | Bulletin of Engineering Geology and the Environment | 2018 | 169 |
6 | Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping | Sensors | 2018 | 158 |
7 | A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping | Geocarto International | 2017 | 153 |
8 | Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China | Landslides | 2017 | 148 |
9 | Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression | Applied Sciences (Switzerland) | 2018 | 148 |
10 | Photocatalytic Degradation of Methylene Blue over TiO2 Pretreated with Varying Concentrations of NaOH | Catalysts | 2018 | 146 |
11 | Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling | Bulletin of Engineering Geology and the Environment | 2019 | 144 |
12 | Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran | Remote Sensing | 2020 | 139 |
13 | Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) | Applied Sciences (Switzerland) | 2019 | 135 |
14 | Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China) | Bulletin of Engineering Geology and the Environment | 2019 | 132 |
15 | Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models | Applied Sciences (Switzerland) | 2019 | 131 |
16 | Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods | Scientific Reports | 2018 | 130 |
17 | Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms | Sensors | 2018 | 128 |
18 | Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia | Remote Sensing | 2018 | 125 |
19 | A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China | Remote Sensing | 2019 | 125 |
20 | A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China) | Environmental Earth Sciences | 2017 | 114 |
21 | Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis | Natural Resources Research | 2019 | 114 |
22 | GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China | Journal of Earth System Science | 2015 | 112 |
23 | Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation | Remote Sensing | 2020 | 108 |
24 | Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy | Geocarto International | 0 | 107 |
25 | Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree | Geocarto International | 2019 | 104 |
26 | Preparation of a GO/MIL-101(Fe) Composite for the Removal of Methyl Orange from Aqueous Solution | ACS Omega | 2021 | 102 |
27 | Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods | Natural Hazards | 2019 | 100 |
28 | 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 | Arabian Journal of Geosciences | 2017 | 97 |
29 | Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment | International Journal of Environmental Research and Public Health | 2020 | 97 |
30 | GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran | Remote Sensing | 2020 | 97 |
31 | Prioritization of landslide conditioning factors and its spatial modeling in Shangnan County, China using GIS-based data mining algorithms | Bulletin of Engineering Geology and the Environment | 2018 | 96 |
32 | A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment | Geocarto International | 2018 | 95 |
33 | GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China | Environmental Earth Sciences | 2016 | 93 |
34 | Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran | Forests | 2020 | 91 |
35 | A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping | Arabian Journal of Geosciences | 2016 | 90 |
36 | Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models | Applied Sciences (Switzerland) | 2020 | 85 |
37 | Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China | Arabian Journal of Geosciences | 2014 | 84 |
38 | GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models | Applied Sciences (Switzerland) | 2020 | 84 |
39 | Numerical investigation of landslide kinetics for the recent Mabian landslide (Sichuan, China) | Landslides | 2019 | 80 |
40 | 0D/2D MXene Quantum Dot/Ni-MOF Ultrathin Nanosheets for Enhanced N2 Photoreduction | ACS Sustainable Chemistry and Engineering | 2020 | 80 |
41 | Numerical study on transition structures of oblique detonations with expansion wave from finite-length cowl | Physics of Fluids | 2020 | 79 |
42 | GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques | Applied Sciences (Switzerland) | 2020 | 78 |
43 | Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques | Water (Switzerland) | 2020 | 76 |
44 | Application of frequency ratio, weights of evidence and evidential belief function models in landslide susceptibility mapping | Geocarto International | 0 | 73 |
45 | Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms | Remote Sensing | 2021 | 73 |
46 | Recent Advances in Synthesis of Benzothiazole Compounds Related to Green Chemistry | Molecules | 2020 | 72 |
47 | Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China | Environmental Earth Sciences | 2016 | 71 |
48 | Hybrid Integration Approach of Entropy with Logistic Regression and Support Vector Machine for Landslide Susceptibility Modeling | Entropy | 2018 | 68 |
49 | Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential | Geocarto International | 2022 | 67 |
50 | Practical aptamer-based assay of heavy metal mercury ion in contaminated environmental samples: convenience and sensitivity | Analytical and Bioanalytical Chemistry | 2020 | 66 |