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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 26-50 of 66 citing articles:

A machine learning approach in spatial predicting of landslides and flash flood susceptible zones for a road network
Hang Ha, Quynh Duy Bui, Thanh Dong Khuc, et al.
Modeling Earth Systems and Environment (2022) Vol. 8, Iss. 4, pp. 4341-4357
Closed Access | Times Cited: 18
Impact Assessment of Road Construction on Landslide Susceptibility in Mountainous Region using GIS-Based Statistical Modelling
Amol Sharma, Chander Prakash
Journal of the Geological Society of India (2023) Vol. 99, Iss. 8, pp. 1131-1140
Closed Access | Times Cited: 10
Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping
Alireza Arabameri, Saro Lee, Fatemeh Rezaie, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 22
Frequency Ratio Model as Tools for Flood Susceptibility Mapping in Urbanized Areas: A Case Study from Egypt
Hanaa A. Megahed, Amira Mohamed Abdo, Mohamed A. E. AbdelRahman, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9445-9445
Open Access | Times Cited: 9
Review on the progress and future prospects of geological disasters prediction in the era of artificial intelligence
Xiang Zhang, Minghui Zhang, Xin Liu, et al.
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11485-11525
Closed Access | Times Cited: 3
Entropy-Based Hybrid Integration of Random Forest and Support Vector Machine for Landslide Susceptibility Analysis
Amol Sharma, Chander Prakash, V. S. Manivasagam
Geomatics (2021) Vol. 1, Iss. 4, pp. 399-416
Open Access | Times Cited: 20
Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides
Wei Chen, Zenghui Sun, Xia Zhao, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 12, pp. 696-696
Open Access | Times Cited: 20
Modelling and mapping of landslide susceptibility regulating potential ecosystem service loss: an experimental research in Saudi Arabia
Javed Mallick, Saeed Alqadhi, Swapan Talukdar, et al.
Geocarto International (2022) Vol. 37, Iss. 25, pp. 10170-10198
Closed Access | Times Cited: 12
GIS-based landslide susceptibility mapping using frequency ratio and index of entropy models for She County of Anhui Province, China
Yu Liu, Anying Yuan, Zhigang Bai, et al.
Applied Rheology (2022) Vol. 32, Iss. 1, pp. 22-33
Open Access | Times Cited: 12
Application of novel hybrid model for land subsidence susceptibility mapping
Zhongjie Shen, M. Santosh, Alireza Arabameri
Geological Journal (2022) Vol. 58, Iss. 6, pp. 2302-2320
Closed Access | Times Cited: 12
LAND SUBSIDENCE SUSCEPTIBILITY MAPPING USING MACHINE LEARNING ALGORITHMS
Z. Eghrari, M. R. Delavar, Mehdi Zaré, et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-4/W1-2022, pp. 129-136
Open Access | Times Cited: 7
Land subsidence susceptibility mapping: a new approach to improve decision stump classification (DSC) performance and combine it with four machine learning algorithms
Rui Zhao, Alireza Arabameri, M. Santosh
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 15443-15466
Open Access | Times Cited: 2
A Novel Hybrid Model for Developing Groundwater Potentiality Model Using High Resolution Digital Elevation Model (DEM) Derived Factors
Javed Mallick, Swapan Talukdar, Nabil Ben Kahla, et al.
Water (2021) Vol. 13, Iss. 19, pp. 2632-2632
Open Access | Times Cited: 16
Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin
Nguyễn Văn Dũng, Nguyễn Minh Hiếu, Tran Van Phong, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1688-1714
Open Access | Times Cited: 15
Assessing the Dimensionality Reduction of the Geospatial Dataset Using Principal Component Analysis (PCA) and Its Impact on the Accuracy and Performance of Ensembled and Non-ensembled Algorithms
Farkhanda Abbas, Feng Zhang, Javed Iqbal, et al.
(2023)
Open Access | Times Cited: 6
Assessing flood susceptibility and effectiveness of structural flood mitigation measures applied within Mubuku catchment in Rwenzori Region, Uganda
Shafiq Nedala, Sengupta Puja, Lilian Kempango, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 2
An optimization on machine learning algorithms for mapping snow avalanche susceptibility
Peyman Yariyan, Ebrahim Omidvar, Foad Minaei, et al.
Natural Hazards (2021) Vol. 111, Iss. 1, pp. 79-114
Closed Access | Times Cited: 14
Evaluating novel hybrid models based on GIS for snow avalanche susceptibility mapping: A comparative study
Peyman Yariyan, Ebrahim Omidvar, Mohammadreza Karami, et al.
Cold Regions Science and Technology (2021) Vol. 194, pp. 103453-103453
Closed Access | Times Cited: 12
Pixel-Based Spatio-Statistical Analysis of Landslide Probability in Humid and Seismically Active Areas of Himalaya and Hindukush
Sajjad Muhammad Khan, Atta-ur Rahman, Muhammad Ali, et al.
Sustainability (2024) Vol. 16, Iss. 9, pp. 3556-3556
Open Access | Times Cited: 1
Exploring advanced machine learning techniques for landslide susceptibility mapping in Yanchuan County, China
Wei Chen, Chao Guo, Fanghao Lin, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 6, pp. 5385-5402
Closed Access | Times Cited: 1
Land-subsidence susceptibility mapping: assessment of an adaptive neuro-fuzzy inference system–genetic algorithm hybrid model
Tang Wen, Wang Tiewang, Alireza Arabameri, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12194-12218
Closed Access | Times Cited: 6
An artificial intelligence based framework to analyze the landside risk of a mountainous highway
Amol Sharma, Chander Prakash, Estifanos Lemma, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 3
Landslide susceptibility assessment in Qinzhou based on rough set and semi-supervised support vector machine
Chunfang Kong, Yu Li, Kun Dong, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3163-3177
Closed Access | Times Cited: 3
Predicting Landslide Susceptibility of a Mountainous Region Using a Hybrid Machine Learning-Based Model
Amol Sharma, Chander Prakash
Springer eBooks (2022), pp. 191-209
Closed Access | Times Cited: 5
Land Subsidence Spatial Modeling and Assessment of the Contribution of Geo-Environmental Factors to Land Subsidence: Comparison of Different Novel Ensemble Modeling Approaches
Alireza Arabameri, Peyman Yariyan, M. Santosh
Research Square (Research Square) (2021)
Open Access | Times Cited: 6

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