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OpenAlex Citation Counts

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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.

Requested Article:

Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin
Qiao Hu, Yi Zhou, Shixing Wang, et al.
Geomorphology (2019) Vol. 351, pp. 106975-106975
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Abolfazl Baghbani, Tanveer Choudhury, Susanga Costa, et al.
Earth-Science Reviews (2022) Vol. 228, pp. 103991-103991
Closed Access | Times Cited: 199
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
Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
Pedro Lima, Stefan Steger, Thomas Glade, et al.
Journal of Mountain Science (2022) Vol. 19, Iss. 6, pp. 1670-1698
Open Access | Times Cited: 81
Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models
Zhilu Chang, Jinsong Huang, Faming Huang, et al.
Gondwana Research (2023) Vol. 117, pp. 307-320
Closed Access | Times Cited: 76
A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir area
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 5, pp. 101621-101621
Open Access | Times Cited: 70
Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory
Faming Huang, Haowen Xiong, Shui‐Hua Jiang, et al.
Earth-Science Reviews (2024) Vol. 250, pp. 104700-104700
Closed Access | Times Cited: 61
How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China
Zizheng Guo, Bixia Tian, Yuhang Zhu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 3, pp. 877-894
Open Access | Times Cited: 36
Remote Sensing for Assessing Landslides and Associated Hazards
Candide Lissak, Annett Bartsch, Marcello de Michele, et al.
Surveys in Geophysics (2020) Vol. 41, Iss. 6, pp. 1391-1435
Closed Access | Times Cited: 119
Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest
Qian He, Ming Wang, Kai Liu
Geomorphology (2021) Vol. 391, pp. 107889-107889
Closed Access | Times Cited: 82
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
Shruti Sachdeva, Bijendra Kumar
Stochastic Environmental Research and Risk Assessment (2020) Vol. 35, Iss. 2, pp. 287-306
Open Access | Times Cited: 81
Landslide susceptibility index based on the integration of logistic regression and weights of evidence: A case study in Popayan, Colombia
Paul Goyes-Peñafiel, Alejandra Hernandez-Rojas
Engineering Geology (2020) Vol. 280, pp. 105958-105958
Closed Access | Times Cited: 79
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
Halil Akıncı, Mustafa Zeybek
Natural Hazards (2021) Vol. 108, Iss. 2, pp. 1515-1543
Closed Access | Times Cited: 76
Landslide susceptibility mapping using frequency ratio model: the case of Gamo highland, South Ethiopia
Leulalem Shano, Tarun Kumar Raghuvanshi, Matebie Meten
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 7
Closed Access | Times Cited: 69
Combining spatial response features and machine learning classifiers for landslide susceptibility mapping
Ruilong Wei, Chengming Ye, Tianbo Sui, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102681-102681
Open Access | Times Cited: 55
Effectiveness of Newmark-based sampling strategy for coseismic landslide susceptibility mapping using deep learning, support vector machine, and logistic regression
Chuanjie Xi, Mei Han, Xiewen Hu, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 42
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
Halil Akıncı
Journal of African Earth Sciences (2022) Vol. 191, pp. 104535-104535
Closed Access | Times Cited: 41
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model
Andaleeb Yaseen, Jianzhong Lu, Xiaoling Chen
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 10, pp. 3041-3061
Open Access | Times Cited: 40
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Zhuo Chen, Danqing Song
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3384-3416
Open Access | Times Cited: 24
Uncertainties of landslide susceptibility prediction: influences of different study area scales and mapping unit scales
Faming Huang, Yu Cao, Wenbin Li, et al.
International Journal of Coal Science & Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 14
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Towards a Synergistic Progressive Ensemble Framework for Automatic Post-Earthquake Landslide Recognition and Susceptibility Assessment
Zilin Xiang, Jie Dou, Lele Zhang, et al.
Mathematical Geosciences (2025)
Closed Access | Times Cited: 1
Integrated Machine Learning Approaches for Landslide Susceptibility Mapping Along the Pakistan–China Karakoram Highway
Mohib Ullah, Haijun Qiu, Wenchao Huangfu, et al.
Land (2025) Vol. 14, Iss. 1, pp. 172-172
Open Access | Times Cited: 1
Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment
Yueyue Wang, Xueling Wu, Kun Zou, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access | Times Cited: 1
Random Forest-Based Landslide Susceptibility Mapping in Coastal Regions of Artvin, Turkey
Halil Akıncı, Cem Kılıçoğlu, Sedat Doğan
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 9, pp. 553-553
Open Access | Times Cited: 66
Landslide susceptibility assessment and mapping using state-of-the art machine learning techniques
Hamid Reza Pourghasemi, Nitheshnirmal Sãdhasivam, Mahdis Amiri, et al.
Natural Hazards (2021) Vol. 108, Iss. 1, pp. 1291-1316
Closed Access | Times Cited: 45
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