Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 31

Showing 1-25 of 31 citing articles:

Bayesian back analysis of unsaturated hydraulic parameters for rainfall-induced slope failure: A review
Haoqing Yang, Lulu Zhang
Earth-Science Reviews (2024) Vol. 251, pp. 104714-104714
Closed Access | Times Cited: 22
Physics-informed optimization for a data-driven approach in landslide susceptibility evaluation
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3192-3205
Open Access | Times Cited: 20
Improving pixel-based regional landslide susceptibility mapping
Xin Wei, Paolo Gardoni, Lulu Zhang, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101782-101782
Open Access | Times Cited: 17
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: 2
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: 23
Interferometric Synthetic Aperture Radar (InSAR)-Based Absence Sampling for Machine-Learning-Based Landslide Susceptibility Mapping: The Three Gorges Reservoir Area, China
Ruiqi Zhang, Lele Zhang, Zhice Fang, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2394-2394
Open Access | Times Cited: 9
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: 18
Landslide susceptibility mapping using physics-guided machine learning: a case study of a debris flow event in Colorado Front Range
Te Pei, Tong Qiu
Acta Geotechnica (2024) Vol. 19, Iss. 10, pp. 6617-6641
Closed Access | Times Cited: 5
Landslide Susceptibility Assessment Using the Geographical-Optimal-Similarity Model
Yonghong Xiao, Guolong Li, Wei Lu, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1843-1843
Open Access
From spatio-temporal landslide susceptibility to landslide risk forecast
Tengfei Wang, Ashok Dahal, Zhice Fang, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101765-101765
Open Access | Times Cited: 15
Regional landslide susceptibility assessment based on improved semi-supervised clustering and deep learning
Yuhang Jiang, Wei Wang, Lifang Zou, et al.
Acta Geotechnica (2023) Vol. 19, Iss. 1, pp. 509-529
Closed Access | Times Cited: 14
Integrating Knowledge Graph and Machine Learning Methods for Landslide Susceptibility Assessment
Qirui Wu, Zhong Xie, Miao Tian, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2399-2399
Open Access | Times Cited: 4
A physics-informed machine learning solution for landslide susceptibility mapping based on three-dimensional slope stability evaluation
Yunhao Wang, Luqi Wang, Wengang Zhang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 4
Spatial joint hazard assessment of landslide susceptibility and intensity within a single framework: Environmental insights from the Wenchuan earthquake
Zhangying Tang, Xue Zheng, Jay Pan, et al.
The Science of The Total Environment (2025) Vol. 963, pp. 178545-178545
Closed Access
SDCGAN: A CycleGAN-Based Single-Domain Generalization Method for Mechanical Fault Diagnosis
Yu Guo, Xiangyu Li, Jundong Zhang, et al.
Reliability Engineering & System Safety (2025), pp. 110854-110854
Closed Access
Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps
Matthias Schlögl, Raphael Spiekermann, Stefan Steger
Environmental Earth Sciences (2025) Vol. 84, Iss. 4
Open Access
A critical review of automated extraction of rock mass parameters using 3D point cloud data
Jiayao Chen, Qian Fang, Dingli Zhang, et al.
Intelligent Transportation Infrastructure (2023) Vol. 2
Open Access | Times Cited: 10
Hybrid method for rainfall-induced regional landslide susceptibility mapping
Shuangyi Wu, Huaan Wang, Jie Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 2
Submarine landslide susceptibility assessment integrating frequency ratio with supervised machine learning approach
Xiangshuai Meng, Xiaolei Liu, Yueying Wang, et al.
Applied Ocean Research (2024) Vol. 153, pp. 104237-104237
Closed Access | Times Cited: 2
Incorporating modelling uncertainty and prior knowledge into landslide susceptibility mapping using Bayesian neural networks
Chongzhi Chen, Zhangquan Shen, Luming Fang, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-20
Closed Access | Times Cited: 2
Comparing physical and statistical landslide susceptibility models at the scale of individual trees
Raphael Spiekermann, Feiko van Zadelhoff, Jan Schindler, et al.
Geomorphology (2023) Vol. 440, pp. 108870-108870
Closed Access | Times Cited: 4
Comparing shallow landslide susceptibility maps in Northeastern Türkiye (Beşikdüzü, Trabzon): a multivariate statistical, machine learning, and physical data-based analysis
Kübra Tezel, Aykut Akgün
Environmental Earth Sciences (2024) Vol. 83, Iss. 10
Open Access | Times Cited: 1
Important considerations in machine learning-based landslide susceptibility assessment under future climate conditions
Yi Han, Shabnam J. Semnani
Acta Geotechnica (2024)
Open Access | Times Cited: 1
An Integrated Framework of Positive-Unlabeled and Imbalanced Learning for Landslide Susceptibility Mapping
Zijin Fu, Hao Ma, Fawu Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 15596-15611
Open Access | Times Cited: 1
A Combined Landslide Displacement Prediction Model Based on Variational Mode Decomposition and Deep Learning Algorithms
Mengcheng Sun, Yuxue Guo, Ke Huang, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3503-3503
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top