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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:

Assessing landslide susceptibility based on hybrid multilayer perceptron with ensemble learning
Haoyuan Hong
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 10
Closed Access | Times Cited: 12

Showing 12 citing articles:

Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment
Yueyue Wang, Xueling Wu, Kun Zou, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access | Times Cited: 1
Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions
Nilesh Suresh Pawar, Kul Vaibhav Sharma
Natural Hazards (2025)
Closed Access | Times Cited: 1
Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
Haoyuan Hong
Expert Systems with Applications (2023) Vol. 237, pp. 121678-121678
Closed Access | Times Cited: 18
Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique
Chao Zhou, Yue Wang, Ying Cao, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 7
Landslide susceptibility mapping using multiple combination weighting determination: a case study of collector roads in Pingshan County, Hebei Province, China
Hui Li, Kun Song, Xing Zhai, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 4
Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS
Ruizhi Zhang, Dayong Zhang, Bo Shu, et al.
Land (2025) Vol. 14, Iss. 3, pp. 577-577
Open Access
Mapping landslide susceptibility in the Eastern Mediterranean mountainous region: a machine learning perspective
Hazem Ghassan Abdo, Sahar Mohammed Richi, Pankaj Prasad, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 9
Closed Access
An Investigation into the Susceptibility to Landslides Using Integrated Learning and Bayesian Optimization: A Case Study of Xichang City
Fucheng Xing, Ning Li, Boju Zhao, et al.
Sustainability (2024) Vol. 16, Iss. 20, pp. 9085-9085
Open Access | Times Cited: 2
Landslide susceptibility evaluation and determination of critical influencing factors in eastern Sichuan mountainous area, China
Lin Zhang, Zhengxi Guo, Qi Shi, et al.
Ecological Indicators (2024) Vol. 169, pp. 112911-112911
Open Access | Times Cited: 2
Innovative Data-Driven Machine Learning Approaches for Predicting Sandstone True Triaxial Strength
Rui Zhang, Jian Zhou, Zhenyu Wang
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7855-7855
Open Access
A comparative study of various combination strategies for landslide susceptibility mapping considering landslide types
Lanbing Yu, Biswajeet Pradhan, Yang Wang
Geoscience Frontiers (2024), pp. 101999-101999
Open Access
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
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