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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:

Review of landslide susceptibility assessment based on knowledge mapping
Chen Yong, Jinlong Dong, Fei Guo, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 9, pp. 2399-2417
Closed Access | Times Cited: 96

Showing 51-75 of 96 citing articles:

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: 7
A Comprehensive Review on Debris Flow Landslide Assessment Using Rapid Mass Movement Simulation (RAMMS)
Sahil Kumar, Abhishek Sharma, Kanwarpreet Singh
Geotechnical and Geological Engineering (2024) Vol. 42, Iss. 7, pp. 5447-5475
Closed Access | Times Cited: 2
A Hybrid Variable Weight Theory Approach of Hierarchical Analysis and Multi-Layer Perceptron for Landslide Susceptibility Evaluation: A Case Study in Luanchuan County, China
Minghong Li, Yuanxiang Guo, Danyuan Luo, et al.
Sustainability (2023) Vol. 15, Iss. 3, pp. 1908-1908
Open Access | Times Cited: 6
Landslide susceptibility mapping using O-CURE and PAM clustering algorithms
Deborah Simon Mwakapesa, Xiaoji Lan, Yaser A. Nanehkaran, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 6
Landslide susceptibility mapping using ensemble machine learning methods: a case study in Lombardy, Northern Italy
Qiongjie Xu, Vasil Yordanov, Lorenzo Amici, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
基于知识图谱的滑坡易发性评价文献综述及研究进展
Fei Guo, Lai Peng, Faming Huang, et al.
Earth Science-Journal of China University of Geosciences (2024) Vol. 49, Iss. 5, pp. 1584-1584
Open Access | Times Cited: 2
Monitoring and disaster prevention of high and steep sandstone slopes along highways under construction
Xianlin Liu, Xilin Lü, Yu Shao, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 2
Evaluation and Prediction of Landslide Susceptibility in Yichang Section of Yangtze River Basin Based on Integrated Deep Learning Algorithm
Li–Li Chang, Rui Zhang, Chunsheng Wang
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2717-2717
Open Access | Times Cited: 10
A Knowledge Discovery Method for Landslide Monitoring Based on K-Core Decomposition and the Louvain Algorithm
Wang Ping, Xingdong Deng, Yang Liu, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 4, pp. 217-217
Open Access | Times Cited: 8
Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)
Txomin Bornaetxea, Juan Remondo, Jaime Bonachea, et al.
Natural Hazards (2023) Vol. 118, Iss. 3, pp. 2513-2542
Open Access | Times Cited: 4
Improving Landslide Prediction: Innovative Modeling and Evaluation of Landslide Scenario with Knowledge Graph Embedding
Luanjie Chen, Ling Peng, Lina Yang
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 145-145
Open Access | Times Cited: 4
The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning
Xiao Wang, Di Wang, Xinyue Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 347-347
Open Access | Times Cited: 1
Study on the influence of input variables on the supervised machine learning model for landslide susceptibility mapping
Lai Peng, Fei Guo, Xiaohu Huang, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 6
Closed Access | Times Cited: 1
Remote Sensing and GIS-Based Accuracy Assessment of LULC Map and Landslide Susceptibility Prediction for Meghalaya, India
Badavath Naveen, Smrutirekha Sahoo
Journal of the Geological Society of India (2024) Vol. 100, Iss. 5, pp. 622-638
Closed Access | Times Cited: 1
Evaluation of Landslide Susceptibility in Tekes County, Yili Prefecture Based on the Information Quantity Method
Xiaohong Cao, Bin Wu, Yanjun Shang, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6053-6053
Open Access | Times Cited: 1
Evaluation of Landslides susceptibility in Southeastern Tibet Considering Seismic Sensitivity
Zang Yeqi, Guo Yonggang, Guowen Wang, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e36800-e36800
Open Access | Times Cited: 1
Enhancing Spectral Clustering Performance Using Self-Supervised Support Vector Machines for Regional Landslide Risk Assessment Visualization: A Case Study in Han-Yuan County, Ya’an City
Yuting Ma, Mei Han, Shiyuan Zeng, et al.
Environmental science and engineering (2024), pp. 13-27
Closed Access | Times Cited: 1
A Critical Analysis of Landslide Susceptibility Studies in Himachal Himalaya
Subashis Paul, Raju Sarkar
Journal of the Geological Society of India (2024) Vol. 100, Iss. 11, pp. 1545-1556
Closed Access | Times Cited: 1
An improved buffer-controlled sampling strategy for landslide susceptibility assessment considering the spatial heterogeneity of conditioning factors
Leilei Liu, Hao Xiao, Yili Zhang, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 12
Closed Access | Times Cited: 1
Exploring uncertainty analysis in GIS-based Landslide susceptibility mapping models using machine learning in the Darjeeling Himalayas
Sumon Dey, Swarup Das, Abhik Saha
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Assessment of landslide susceptibility along the Lanzhou-xinjiang high-speed railway: A case study of Menyuan-Shandanmachang
Jiao Li, Zhiwei Zhou, Wei Ma
Transportation Geotechnics (2024), pp. 101473-101473
Closed Access | Times Cited: 1
Machine-Learning-Based Hybrid Modeling for Geological Hazard Susceptibility Assessment in Wudou District, Bailong River Basin, China
Zhijun Wang, Zhuofan Chen, Ke Ma, et al.
GeoHazards (2023) Vol. 4, Iss. 2, pp. 157-182
Open Access | Times Cited: 3
An Optimization of Statistical Index Method Based on Gaussian Process Regression and GeoDetector, for Higher Accurate Landslide Susceptibility Modeling
Cheng Cen, Yang Yang, Fengcheng Zhong, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10196-10196
Open Access | Times Cited: 5
Disaster Precursor Identification and Early Warning of the Lishanyuan Landslide Based on Association Rule Mining
Junwei Xu, Dongxin Bai, Hongsheng He, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12836-12836
Open Access | Times Cited: 5
Investigation of the microscopic properties of natural structured clay
Di Ning, Qingshan Ma, Weiya Ge, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 2

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