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:

A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches
Ting Xiao, Samuele Segoni, Lixia Chen, et al.
Landslides (2019) Vol. 17, Iss. 3, pp. 627-640
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

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: 244

Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability
Mariano Di Napoli, Francesco Carotenuto, Andrea Cevasco, et al.
Landslides (2020) Vol. 17, Iss. 8, pp. 1897-1914
Closed Access | Times Cited: 205

National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data
Qigen Lin, Pedro Lima, Stefan Steger, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101248-101248
Open Access | Times Cited: 122

A hybrid optimization method of factor screening predicated on GeoDetector and Random Forest for Landslide Susceptibility Mapping
Deliang Sun, Shuxian Shi, Haijia Wen, et al.
Geomorphology (2021) Vol. 379, pp. 107623-107623
Closed Access | Times Cited: 121

Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation
Luqi Wang, Ting Xiao, Songlin Liu, et al.
Gondwana Research (2023) Vol. 123, pp. 27-40
Closed Access | Times Cited: 69

GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India
Jayanta Das, Pritam Saha, Rajib Mitra, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16186-e16186
Open Access | Times Cited: 42

Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China
Lanbing Yu, Yang Wang, Biswajeet Pradhan
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101802-101802
Open Access | Times Cited: 21

Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules
Faming Huang, Daxiong Mao, Shui‐Hua Jiang, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 6, pp. 101886-101886
Open Access | Times Cited: 16

Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping
Wang Shibao, Jianqi Zhuang, Jia Zheng, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 73

Landslide Susceptibility Analysis: A Logistic Regression Model Case Study in Coonoor, India
Evangelin Ramani Sujatha, Venkataramana Sridhar
Hydrology (2021) Vol. 8, Iss. 1, pp. 41-41
Open Access | Times Cited: 72

Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)
Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, et al.
Natural hazards and earth system sciences (2022) Vol. 22, Iss. 4, pp. 1395-1417
Open Access | Times Cited: 46

Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales
Xin Wei, Lulu Zhang, Paolo Gardoni, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 8, pp. 4453-4476
Closed Access | Times Cited: 32

Application and interpretability of ensemble learning for landslide susceptibility mapping along the Three Gorges Reservoir area, China
Bo Liu, Haixiang Guo, Jinling Li, et al.
Natural Hazards (2024) Vol. 120, Iss. 5, pp. 4601-4632
Closed Access | Times Cited: 14

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment
Shuo Yang, Deying Li, Yiqing Sun, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 4
Open Access | Times Cited: 11

Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-Scale Spatial Units: A Case Study in Rio de Janeiro (Brazil)
Vanessa Canavesi, Samuele Segoni, Ascanio Rosi, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1826-1826
Open Access | Times Cited: 58

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

Landslide susceptibility mapping using MT-InSAR and AHP enabled GIS-based multi-criteria decision analysis
Devara Meghanadh, Ashutosh Tiwari, R. S. Dwivedi
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 675-693
Open Access | Times Cited: 53

Triggering mechanism and possible evolution process of the ancient Qingshi landslide in the Three Gorges Reservoir
Luqi Wang, Zhihua Zhang, Bolin Huang, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 3160-3174
Open Access | Times Cited: 43

The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: a case study of Anhui Province in China
Chuhan Wang, Qigen Lin, Leibin Wang, et al.
Natural Hazards (2022) Vol. 112, Iss. 3, pp. 1967-1988
Closed Access | Times Cited: 35

A methodological approach of QRA for slow-moving landslides at a regional scale
Francesco Caleca, Veronica Tofani, Samuele Segoni, et al.
Landslides (2022) Vol. 19, Iss. 7, pp. 1539-1561
Open Access | Times Cited: 29

Landslide Susceptibility Mapping of Landslides with Artificial Neural Networks: Multi-Approach Analysis of Backpropagation Algorithm Applying the Neuralnet Package in Cuenca, Ecuador
Paul Esteban Bravo-López, Tomás Fernández, Chester Sellers, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3495-3495
Open Access | Times Cited: 28

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