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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:

Landslide Susceptibility Mapping in Guangdong Province, China, Using Random Forest Model and Considering Sample Type and Balance
Li Zhuo, Yupu Huang, Jing Zheng, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9024-9024
Open Access | Times Cited: 16

Showing 16 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: 52
Unraveling the evolution of landslide susceptibility: a systematic review of 30-years of strategic themes and trends
Aonan Dong, Jie Dou, Yonghu Fu, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 19
Inventory of landslide relics in Zhenxiong County based on human-machine interactive visual interpretation, Yunnan Province, China
Zhiwen Xue, Chong Xu, Zhang Zhi-qiang, et al.
Frontiers in Earth Science (2025) Vol. 12
Open Access
To explore the optimal solution of different mapping units and classifiers and their application in the susceptibility evaluation of slope geological disasters
Shaohan Zhang, Shucheng Tan, Haishan Wang, et al.
Ecological Indicators (2024) Vol. 163, pp. 112073-112073
Open Access | Times Cited: 4
Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region
Mohib Ullah, Bingzhe Tang, Wenchao Huangfu, et al.
Land (2024) Vol. 13, Iss. 7, pp. 1011-1011
Open Access | Times Cited: 4
A research on a new mapping method for landslide susceptibility based on SBAS-InSAR technology
Zhifu Zhu, Xiping Yuan, Shu Gan, et al.
The Egyptian Journal of Remote Sensing and Space Science (2023) Vol. 26, Iss. 4, pp. 1046-1056
Open Access | Times Cited: 8
Landslide Susceptibility Prediction Using Machine Learning Methods: A Case Study of Landslides in the Yinghu Lake Basin in Shaanxi
Sheng Ma, Jian Chen, Saier Wu, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 15836-15836
Open Access | Times Cited: 6
A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China
Nan Jiang, Yange Li, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Spatial assessment employing fusion logistic regression and frequency ratio models to monitor landslide susceptibility in the upper Blue Nile basin of Ethiopia: Muger watershed
Samuel Hailu, Kiros Tsegay Deribew, Ermias Teferi, et al.
ENVIRONMENTAL SYSTEMS RESEARCH (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Landslide Risk Mapping Using the Weight-of-Evidence Method in the Datong Mining Area, Qinghai Province
He Yang, Qihong Wu, Jianhui Dong, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11330-11330
Open Access | Times Cited: 4
Investigation of Landslide Susceptibility Decision Mechanisms in Different Ensemble-Based Machine Learning Models with Various Types of Factor Data
Jiakai Lu, Chao Ren, Weiting Yue, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13563-13563
Open Access | Times Cited: 4
Landslide Recognition Based on Machine Learning Considering Terrain Feature Fusion
Jincan Wang, Zhiheng Wang, Liyao Peng, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 9, pp. 306-306
Open Access
A Landslide Susceptibility Mapping Method Based on Geographic Information System and Data Enhancement Techniques: A Case Study of Guangzhou City, China
Long Chen, Yizhao Wang, Wenfeng Bai, et al.
(2024), pp. 22-22
Open Access
Building Vulnerability to Landslides: Broad-Scale Assessment in Xinxing County, China
F.-M. Shi, Ling Li, Xueling Wu, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4366-4366
Open Access
Landslide susceptibility assessment using hybrid integration of best-first decision tree and machine learning ensembles
Jianguo Wang, Weipeng Li, Linhai Li, et al.
Research Square (Research Square) (2024)
Open Access
Enhanced Landslide Susceptibility Mapping Using Machine Learning and InSAR Integration: A Case Study in Wushan County, Three Gorges Reservoir Area, China
Jinhu Cui, Pinglang Kou, Yuxiang Tao, et al.
Research Square (Research Square) (2024)
Open Access
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