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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 53 citing articles:

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
Wei Chen, Yang Li
CATENA (2020) Vol. 195, pp. 104777-104777
Closed Access | Times Cited: 204
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3029-3029
Open Access | Times Cited: 109
Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria
Thimmaiah Gudiyangada Nachappa, Omid Ghorbanzadeh, Khalil Gholamnia, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2757-2757
Open Access | Times Cited: 80
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
Comparing the efficiency of weight of evidence, support vector machine and their ensemble approaches in landslide susceptibility modelling: A study on Kurseong region of Darjeeling Himalaya, India
Anik Saha, Sunil Saha
Remote Sensing Applications Society and Environment (2020) Vol. 19, pp. 100323-100323
Closed Access | Times Cited: 72
Comparison of statistical and MCDM approaches for flood susceptibility mapping in northern Iran
S. Mostafa Mousavi, Behzad Ataie‐Ashtiani, Seiyed Mossa Hosseini
Journal of Hydrology (2022) Vol. 612, pp. 128072-128072
Closed Access | Times Cited: 44
Landslide Susceptibility Model Using Artificial Neural Network (ANN) Approach in Langat River Basin, Selangor, Malaysia
Siti Norsakinah Selamat, Nuriah Abd Majid, Mohd Raihan Taha, et al.
Land (2022) Vol. 11, Iss. 6, pp. 833-833
Open Access | Times Cited: 42
Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Rizwan Ali Naqvi, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping
Thimmaiah Gudiyangada Nachappa, Stefan Kienberger, Sansar Raj Meena, et al.
Geomatics Natural Hazards and Risk (2020) Vol. 11, Iss. 1, pp. 572-600
Open Access | Times Cited: 68
Spatial Prediction of Landslides Using Hybrid Integration of Artificial Intelligence Algorithms with Frequency Ratio and Index of Entropy in Nanzheng County, China
Wei Chen, Limin Fan, Cheng Li, et al.
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 29-29
Open Access | Times Cited: 66
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
Bagging-based machine learning algorithms for landslide susceptibility modeling
Tingyu Zhang, Quan Fu, Hao Wang, et al.
Natural Hazards (2021) Vol. 110, Iss. 2, pp. 823-846
Open Access | Times Cited: 50
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
Permafrost degradation induced thaw settlement susceptibility research and potential risk analysis in the Qinghai-Tibet Plateau
Renwei Li, Mingyi Zhang, Pavel Konstantinov, et al.
CATENA (2022) Vol. 214, pp. 106239-106239
Closed Access | Times Cited: 31
Landslide Susceptibility Modeling Using Remote Sensing Data and Random SubSpace-Based Functional Tree Classifier
Tao Peng, Yunzhi Chen, Wei Chen
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4803-4803
Open Access | Times Cited: 31
Landslide Susceptibility Mapping using Machine Learning Algorithm
Muhammad Afaq Hussain, Zhanlong Chen, Run Wang, et al.
Civil Engineering Journal (2022) Vol. 8, Iss. 2, pp. 209-224
Open Access | Times Cited: 29
Evaluation of different machine learning models and novel deep learning-based algorithm for landslide susceptibility mapping
Tingyu Zhang, Yanan Li, Tao Wang, et al.
Geoscience Letters (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 26
Impact of climate warming on permafrost changes in the Qinghai-Tibet Plateau
Renwei Li, Mingyi Zhang, V. A. Andreeva, et al.
Cold Regions Science and Technology (2022) Vol. 205, pp. 103692-103692
Closed Access | Times Cited: 25
Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece
Christos Polykretis, Manolis Grillakis, Athanasios V. Argyriou, et al.
Land (2021) Vol. 10, Iss. 9, pp. 973-973
Open Access | Times Cited: 24
Landslide susceptibility modeling based on remote sensing data and data mining techniques
Xiaojing Wang, Faming Huang, Xuanmei Fan, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 2
Closed Access | Times Cited: 19
Reduction in Waiting Time in an M/M/1/N Encouraged Arrival Queue with Feedback, Balking and Maintaining of Reneged Customers
Ismailkhan Enayathulla Khan, Rajendran Paramasivam
Symmetry (2022) Vol. 14, Iss. 8, pp. 1743-1743
Open Access | Times Cited: 17
Integrating stratified best–worst method and GIS for landslide susceptibility assessment: a case study in Erzurum province (Turkey)
Zekeriya Konurhan, Melih Yücesan, Muhammet Gül
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 53, pp. 113978-114000
Closed Access | Times Cited: 10
Assessing forest fire vulnerability with fuzzy-AHP: insights from Poonch forest division, Jammu and Kashmir
Faizan Malik, Fayma Mushtaq, Majid Farooq, et al.
(2025) Vol. 1, Iss. 1
Open Access
Novel ensemble approach for landslide susceptibility index assessment in a mountainous environment of India
Rabin Chakrabortty, Subodh Chandra Pal, Paramita Roy, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 13311-13336
Closed Access | Times Cited: 15
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