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:

Uncertainties of landslide susceptibility prediction: Influences of random errors in landslide conditioning factors and errors reduction by low pass filter method
Faming Huang, Zuokui Teng, Chi Yao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 1, pp. 213-230
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

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
Uncertainties in landslide susceptibility prediction: Influence rule of different levels of errors in landslide spatial position
Faming Huang, Ronghui Li, Filippo Catani, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 10, pp. 4177-4191
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: 19
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
Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
Bijing Jin, Taorui Zeng, Kunlong Yin, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 5, pp. 7872-7888
Open Access | Times Cited: 11
Slope stability analysis with a hypoplastic constitutive model: Investigating a stochastic anisotropy model and a hydro‐mechanical coupled simulation
Yang Xue, Fasheng Miao, Shun Wang, et al.
International Journal for Numerical and Analytical Methods in Geomechanics (2024) Vol. 48, Iss. 7, pp. 1846-1863
Closed Access | Times Cited: 9
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
Effect of different mapping units, spatial resolutions, and machine learning algorithms on landslide susceptibility mapping at the township scale
Xiaokang Liu, Shuai Shao, Chen Zhang, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Closed Access | Times Cited: 1
Optimization method of conditioning factors selection and combination for landslide susceptibility prediction
Faming Huang, K Y Liu, Shui‐Hua Jiang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 8
Landslide susceptibility assessment using deep learning considering unbalanced samples distribution
Deborah Simon Mwakapesa, Xiaoji Lan, Yimin Mao
Heliyon (2024) Vol. 10, Iss. 9, pp. e30107-e30107
Open Access | Times Cited: 5
Advanced risk assessment framework for land subsidence impacts on transmission towers in salt lake region
Bijing Jin, Taorui Zeng, Tengfei Wang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106058-106058
Closed Access | Times Cited: 5
Comparative models of support-vector machine, multilayer perceptron, and decision tree ‎predication approaches for landslide ‎susceptibility analysis
Fei Teng, Yimin Mao, Yican Li, et al.
Open Geosciences (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 4
Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis
Tiep Nguyen Viet, Dam Duc Nguyen, Manh Nguyen Duc, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024), pp. 103741-103741
Closed Access | Times Cited: 4
Quantifying uncertainty in landslide susceptibility mapping due to sampling randomness
Leilei Liu, Song Zhao, Can Yang, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 114, pp. 104966-104966
Closed Access | Times Cited: 4
Contrasting landslides distribution patterns and seismic rupture processes of 2014 Jinggu and Ludian earthquakes, China
Xiangli He, Chong Xu, Wenwen Qi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Landslide Susceptibility Mapping Considering Landslide Spatial Aggregation Using the Dual-Frequency Ratio Method: A Case Study on the Middle Reaches of the Tarim River Basin
Xuetao Yi, Yanjun Shang, Shichuan Liang, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 381-381
Open Access
Investigating the landslide susceptibility assessment methods for multi-scale slope units based on SDGSAT-1 and Graph Neural Networks
Xiangqi Lei, Hanhu Liu, Zhe Chen, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Identification of Gully-Type Debris Flow Shapes Based on Point Cloud Local Curvature Extrema
R.X. Tan, Bohan Zhang
Water (2025) Vol. 17, Iss. 9, pp. 1243-1243
Open Access
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
Landslide susceptibility assessment based on frequency ratio and semi-supervised heterogeneous ensemble learning model
Yangyang Zhao, Shengwu Qin, Chaobiao Zhang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32043-32059
Closed Access | Times Cited: 1
Predicting the minimum horizontal principal stress using genetic expression programming and borehole breakout data
Rui Zhang, Jian Zhou
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 1
Kinetic Analysis of Rainfall-Induced Landslides in May 2022 in Wuping, Fujian, SE China
Tao Wang, Ran Li, Cheng Chen, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3018-3018
Open Access | Times Cited: 1
Early identification on failure mode of loess landslide: insight from case study and physical model experiment
Ran Li, Jiangkun He, Zheng Han, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 1
Improving landslide susceptibility prediction through ensemble Recursive Feature Elimination and meta-learning framework
Krishnagopal Halder, Amit Kumar Srivast, Anitabha Ghosh, et al.
Research Square (Research Square) (2024)
Open Access
Page 1 - Next Page

Scroll to top