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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 66 citing articles:

Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101075-101075
Open Access | Times Cited: 427
GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods
Xi Chen, Wei Chen
CATENA (2020) Vol. 196, pp. 104833-104833
Closed Access | Times Cited: 247
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
Wei Chen, Xi Chen, Jianbing Peng, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 1, pp. 93-107
Open Access | Times Cited: 167
A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping
Quoc Bao Pham, Yacine Achour, Sk Ajim Ali, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1741-1777
Open Access | Times Cited: 115
Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation
Xia Zhao, Wei Chen
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2180-2180
Open Access | Times Cited: 128
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2478-2478
Open Access | Times Cited: 121
Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models
Wei Chen, Yang Li, Paraskevas Tsangaratos, et al.
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 425-425
Open Access | Times Cited: 104
Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques
Yang Li, Wei Chen
Water (2019) Vol. 12, Iss. 1, pp. 113-113
Open Access | Times Cited: 92
GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling
Wenwu Chen, Shuai Zhang
CATENA (2021) Vol. 203, pp. 105344-105344
Closed Access | Times Cited: 77
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
Guirong Wang, Xinxiang Lei, Wei Chen, et al.
Symmetry (2020) Vol. 12, Iss. 3, pp. 325-325
Open Access | Times Cited: 76
Landslide Susceptibility Mapping Using Machine Learning Algorithm: A Case Study Along Karakoram Highway (KKH), Pakistan
Muhammad Afaq Hussain, Zhanlong Chen, Isma Kalsoom, et al.
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 5, pp. 849-866
Closed Access | Times Cited: 49
Testing the performances of different fuzzy overlay methods in GIS-based landslide susceptibility mapping of Udi Province, SE Nigeria
Vincent E. Nwazelibe, Chinanu O. Unigwe, Johnbosco C. Egbueri
CATENA (2022) Vol. 220, pp. 106654-106654
Open Access | Times Cited: 43
Mapping Landslide Susceptibility Using Machine Learning Algorithms and GIS: A Case Study in Shexian County, Anhui Province, China
Zitao Wang, Qimeng Liu, Yu Liu
Symmetry (2020) Vol. 12, Iss. 12, pp. 1954-1954
Open Access | Times Cited: 64
Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis
Xinxiang Lei, Wei Chen, Binh Thai Pham
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 7, pp. 443-443
Open Access | Times Cited: 55
Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality
Yacine Achour, Zahra Saïdani, Rania Touati, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 17
Closed Access | Times Cited: 47
Optimization of statistical and machine learning hybrid models for groundwater potential mapping
Peyman Yariyan, Mohammadtaghi Avand, Ebrahim Omidvar, et al.
Geocarto International (2021) Vol. 37, Iss. 13, pp. 3877-3911
Closed Access | Times Cited: 46
Evaluation of the landslide susceptibility and its spatial difference in the whole Qinghai-Tibetan Plateau region by five learning algorithms
Payam Sajadi, Yan‐Fang Sang, Mehdi Gholamnia, et al.
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 35
Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries
Abu Reza Md. Towfiqul Islam, Md. Mijanur Rahman Bappi, Saeed Alqadhi, et al.
Natural Hazards (2023) Vol. 119, Iss. 1, pp. 1-37
Closed Access | Times Cited: 22
Landslide susceptibility mapping using information value method in Jhelum Valley of the Himalayas
Salman Farooq, Mian Sohail Akram
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 10
Closed Access | Times Cited: 38
Railway Alignment Optimization in Mountainous Regions Considering Spatial Geological Hazards: A Sustainable Safety Perspective
Hao Pu, Jia Xie, Paul Schonfeld, et al.
Sustainability (2021) Vol. 13, Iss. 4, pp. 1661-1661
Open Access | Times Cited: 34
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran
Hossein Hamedi, Ali Asghar Alesheikh, Mahdi Panahi, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4287-4310
Closed Access | Times Cited: 23
Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China
Hui Shang, Lixiang Su, Wei Chen, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4952-4952
Open Access | Times Cited: 16
Application of Naive Bayes, kernel logistic regression and alternation decision tree for landslide susceptibility mapping in Pengyang County, China
Hui Shang, Sihang Liu, Jiaxin Zhong, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 12043-12079
Closed Access | Times Cited: 5
Comparative landslide susceptibility assessment using information value and frequency ratio bivariate statistical methods: a case study from Northwestern Himalayas, Jammu and Kashmir, India
Imran Khan, Ashutosh Kainthola, Harish Bahuguna, et al.
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 8
Closed Access | Times Cited: 5
Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India
Duc Dam Nguyen, Mahdis Amiri, Nadhir Al‐Ansari, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 21
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