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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:

FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
Zizheng Guo, Ona Torra, Marcel Hürlimann, et al.
Environmental Modelling & Software (2022) Vol. 150, pp. 105354-105354
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

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
PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment
Zizheng Guo, Haojie Wang, Jun He, et al.
Environmental Modelling & Software (2025) Vol. 186, pp. 106367-106367
Closed Access | Times Cited: 5
Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity
Taorui Zeng, Zizheng Guo, Linfeng Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4111-4111
Open Access | Times Cited: 29
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
Regional-scale modeling of rainfall-induced landslides under random rainfall patterns
Lianheng Zhao, Min Liu, Zhichen Song, et al.
Environmental Modelling & Software (2022) Vol. 155, pp. 105454-105454
Closed Access | Times Cited: 31
An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox
Wubiao Huang, Mingtao Ding, Zhenhong Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3408-3408
Open Access | Times Cited: 31
Landslides Triggered by the 2016 Heavy Rainfall Event in Sanming, Fujian Province: Distribution Pattern Analysis and Spatio-Temporal Susceptibility Assessment
Siyuan Ma, Xiaoyi Shao, Chong Xu
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2738-2738
Open Access | Times Cited: 22
Community perceptions of landslide risk and susceptibility: a multi-country study
Moeen Hamid Bukhari, Paula F. da Silva, Jürgen Pilz, et al.
Landslides (2023) Vol. 20, Iss. 6, pp. 1321-1334
Closed Access | Times Cited: 21
Quantitative risk assessment of the Shilongmen reservoir landslide in the Three Gorges area of China
Taorui Zeng, Kunlong Yin, Lei Gui, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 6
Closed Access | Times Cited: 21
Physically-based rainfall-induced landslide thresholds for the Tianshui area of Loess Plateau, China by TRIGRS model
Siyuan Ma, Xiaoyi Shao, Chong Xu
CATENA (2023) Vol. 233, pp. 107499-107499
Closed Access | Times Cited: 19
A comparative study of regional landslide susceptibility mapping with multiple machine learning models
Yunhao Wang, Luqi Wang, Songlin Liu, et al.
Geological Journal (2023) Vol. 59, Iss. 9, pp. 2383-2400
Closed Access | Times Cited: 19
Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
Haoyuan Hong
Expert Systems with Applications (2023) Vol. 237, pp. 121678-121678
Closed Access | Times Cited: 18
Spatial assessment of landslide susceptibility mapping generated by fuzzy-AHP and decision tree approaches
Fikret SAYGIN, Yasemin ŞİŞMAN, Orhan Dengi̇z, et al.
Advances in Space Research (2023) Vol. 71, Iss. 12, pp. 5218-5235
Closed Access | Times Cited: 17
Speech-recognition in landslide predictive modelling: A case for a next generation early warning system
Zhice Fang, Hakan Tanyaş, Tolga Görüm, et al.
Environmental Modelling & Software (2023) Vol. 170, pp. 105833-105833
Open Access | Times Cited: 17
Decoding vegetation's role in landslide susceptibility mapping: An integrated review of techniques and future directions
Yangyang Li, Wenhui Duan
Biogeotechnics (2023) Vol. 2, Iss. 1, pp. 100056-100056
Open Access | Times Cited: 16
Insight from a Physical-Based Model for the Triggering Mechanism of Loess Landslides Induced by the 2013 Tianshui Heavy Rainfall Event
Siyuan Ma, Xiaoyi Shao, Chong Xu, et al.
Water (2023) Vol. 15, Iss. 3, pp. 443-443
Open Access | Times Cited: 15
Comparison of different hydrological and stability assumptions for physically-based modeling of shallow landslides
Muhammet Durmaz, Marcel Hürlimann, Nejan Huvaj, et al.
Engineering Geology (2023) Vol. 323, pp. 107237-107237
Closed Access | Times Cited: 15
DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
Omar F. Althuwaynee, Massimo Melillo, Stefano Luigi Gariano, et al.
Environmental Modelling & Software (2023) Vol. 162, pp. 105657-105657
Open Access | Times Cited: 14
An integral assessment of landslide dams generated by the occurrence of rainfall-induced landslide and debris flow hazard chain
Laura Ortiz-Giraldo, Blanca A. Botero, Johnny Alexánder Vega
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 14
Landslide risk assessment integrating susceptibility, hazard, and vulnerability analysis in Northern Pakistan
Hilal Ahmad, Mehtab Alam, Yinghua Zhang, et al.
Deleted Journal (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 6
Future land use and land cover simulations with cellular automata-based artificial neural network: A case study over Delhi megacity (India)
Madhavi Jain
Heliyon (2024) Vol. 10, Iss. 14, pp. e34662-e34662
Open Access | Times Cited: 6
Prediction and mapping of soil thickness in alpine canyon regions based on whale optimization algorithm optimized random forest: A case study of Baihetan Reservoir area in China
Zhenghai Xue, Xiaoyu Yi, Wenkai Feng, et al.
Computers & Geosciences (2024) Vol. 191, pp. 105667-105667
Closed Access | Times Cited: 5
The Prediction of Transmission Towers’ Foundation Ground Subsidence in the Salt Lake Area Based on Multi-Temporal Interferometric Synthetic Aperture Radar and Deep Learning
Bijing Jin, Taorui Zeng, Taohui Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4805-4805
Open Access | Times Cited: 13
Assessing landslide susceptibility based on hybrid multilayer perceptron with ensemble learning
Haoyuan Hong
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 10
Closed Access | Times Cited: 12
Quantifying forest land-use changes using remote-sensing and CA-ANN model of Madhupur Sal Forests, Bangladesh
Md. Yachin Islam, N. M. Refat Nasher, K. H. Razimul Karim, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e15617-e15617
Open Access | Times Cited: 11
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