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:

Showing 1-25 of 49 citing articles:

A comprehensive review of machine learning‐based methods in landslide susceptibility mapping
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2283-2301
Closed Access | Times Cited: 107
Landslide Susceptibility mapping using random forest and extreme gradient boosting: A case study of Fengjie, Chongqing
Wengang Zhang, Yuwei He, Luqi Wang, et al.
Geological Journal (2023) Vol. 58, Iss. 6, pp. 2372-2387
Closed Access | Times Cited: 80
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: 69
Uncertainties of landslide susceptibility prediction considering different landslide types
Faming Huang, Haowen Xiong, Chi Yao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 2954-2972
Open Access | Times Cited: 66
Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models
Faming Huang, Haowen Xiong, Shixuan Chen, et al.
International Journal of Coal Science & Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 63
Novel Approach for Ranking DEMs: Copernicus DEM Improves One Arc Second Open Global Topography
Conrad Bielski, Carlos López-Vázquez, Carlos Henrique Grohmann, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-22
Open Access | Times Cited: 21
Swarm optimization based heterogeneous machine learning techniques for enhanced landslide susceptibility assessment with comprehensive uncertainty quantification
Sumon Dey, Swarup Das
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model
Haoyuan Hong
Ecological Indicators (2023) Vol. 147, pp. 109968-109968
Open Access | Times Cited: 37
Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset
Faming Huang, Zuokui Teng, Zizheng Guo, et al.
Rock Mechanics Bulletin (2023) Vol. 2, Iss. 1, pp. 100028-100028
Open Access | Times Cited: 36
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: 28
Landscape Ecology Analysis of Traditional Villages: A Case Study of Ganjiang River Basin
Yuchen Zhou, Mu Liu, Guanhong Xie, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 929-929
Open Access | Times Cited: 11
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: 9
Refined landslide susceptibility mapping in township area using ensemble machine learning method under dataset replenishment strategy
Fancheng Zhao, Fasheng Miao, Yiping Wu, et al.
Gondwana Research (2024) Vol. 131, pp. 20-37
Closed Access | Times Cited: 9
Landslide Susceptibility Mapping Considering Landslide Local-Global Features Based on CNN and Transformer
Zeyang Zhao, Tao Chen, Jie Dou, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7475-7489
Open Access | Times Cited: 9
Remote Sensing-Based 3D Assessment of Landslides: A Review of the Data, Methods, and Applications
Hessah Albanwan, Rongjun Qin, Jung‐Kuan Liu
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 455-455
Open Access | Times Cited: 8
Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation
Mansheng Lin, Shuai Teng, Gongfa Chen, et al.
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 2
Open Access | Times Cited: 16
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: 6
Landslide development and susceptibility along the Yunling–Yanjing segment of the Lancang River using grid and slope units
Hong Wen, Siyuan Zhao, Yuhang Liang, et al.
Natural Hazards (2024) Vol. 120, Iss. 7, pp. 6149-6168
Closed Access | Times Cited: 5
Interpretable artificial intelligence for advancing slope stability assessment techniques with Technosols
Jiazhou Li, Mengjie Huang, M Ma, et al.
Soil Use and Management (2025) Vol. 41, Iss. 1
Closed Access
A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models
Zheng Zhao, Jianhua Chen
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 408-429
Open Access | Times Cited: 15
Modeling rules of regional flash flood susceptibility prediction using different machine learning models
Yuguo Chen, Xinyi Zhang, Kejun Yang, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 14
Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China
Xiaokang Liu, Shuai Shao, Shengjun Shao
Advances in Space Research (2024) Vol. 74, Iss. 1, pp. 192-210
Closed Access | Times Cited: 4
Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models
Marko Sinčić, Sanja Bernat Gazibara, Mauro Rossi, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 1, pp. 183-206
Open Access
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
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
Page 1 - Next Page

Scroll to top