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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:

Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples
Can Yang, Leilei Liu, Faming Huang, et al.
Gondwana Research (2022) Vol. 123, pp. 198-216
Closed Access | Times Cited: 89

Showing 1-25 of 89 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: 71
An updating of landslide susceptibility prediction from the perspective of space and time
Zhilu Chang, Faming Huang, Jinsong Huang, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 5, pp. 101619-101619
Open Access | Times Cited: 57
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: 54
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment
Rana Muhammad Adnan Ikram, Atefeh Ahmadi Dehrashid, Binqiao Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 5, pp. 1717-1743
Closed Access | Times Cited: 42
Physics-informed optimization for a data-driven approach in landslide susceptibility evaluation
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3192-3205
Open Access | Times Cited: 23
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: 20
Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
Mingqi Yan, Jiarui Yang, Xiaoyong Ni, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130695-130695
Closed Access | Times Cited: 15
Study on Landslide Susceptibility Based on Multi-Model Coupling: A Case Study of Sichuan Province, China
Jinming Zhang, Jianxi Qian, Yuefeng Lu, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 6803-6803
Open Access | Times Cited: 8
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: 1
Impact of Non-Landslide Sample Sampling Strategies and Model Selection on Landslide Susceptibility Mapping
Weijun Jiang, Ling Li, Ruiqing Niu
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2132-2132
Open Access | Times Cited: 1
Flash Flood Susceptibility Mapping of North-east Depression of Bangladesh using Different GIS based Bivariate Statistical Models
Md. Sharafat Chowdhury
Watershed Ecology and the Environment (2024) Vol. 6, pp. 26-40
Open Access | Times Cited: 6
Feature adaptation for landslide susceptibility assessment in “no sample” areas
Yan Su, Y. Chen, Xiaohe Lai, et al.
Gondwana Research (2024) Vol. 131, pp. 1-17
Closed Access | Times Cited: 6
A physics-informed machine learning solution for landslide susceptibility mapping based on three-dimensional slope stability evaluation
Yunhao Wang, Luqi Wang, Wengang Zhang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 6
Considering the effect of non-landslide sample selection on landslide susceptibility assessment
Youchen Zhu, Deliang Sun, Haijia Wen, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Impact of sampling for landslide susceptibility assessment using interpretable machine learning models
Bin Wu, Zhenming Shi, Hongchao Zheng, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 6
Optimized Landslide Susceptibility Mapping and Modelling Using the SBAS-InSAR Coupling Model
Xueling Wu, Xiaoshuai Qi, Bo Peng, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2873-2873
Open Access | Times Cited: 5
A bibliometric analysis of the landslide susceptibility research (1999–2021)
Lei‐Lei Liu, Jun Zhang, Jing-Ze Li, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14309-14334
Closed Access | Times Cited: 27
Landslide Susceptibility Mapping Based on Deep Learning Algorithms Using Information Value Analysis Optimization
Junjie Ji, Yongzhang Zhou, Qiuming Cheng, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1125-1125
Open Access | Times Cited: 15
Multi-source driven estimation of earthquake economic losses: A comprehensive and interpretable ensemble machine learning model
Jinpeng Zhao, Xiaojun Li, Su Chen, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 106, pp. 104377-104377
Closed Access | Times Cited: 5
Submarine landslide susceptibility assessment integrating frequency ratio with supervised machine learning approach
Xiangshuai Meng, Xiaolei Liu, Yueying Wang, et al.
Applied Ocean Research (2024) Vol. 153, pp. 104237-104237
Closed Access | Times Cited: 4
Spatial and Temporal Variations in Soil Organic Carbon in Northwestern China via Comparisons of Different Methods
Jinlin Li, Ning Hu, Yuxin Qi, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 420-420
Open Access
The Optimization of Culture Conditions for Injectable Recombinant Collagen Hydrogel Preparation Using Machine Learning
Mengyu Li, Long Zhao, Yanan Ren, et al.
Gels (2025) Vol. 11, Iss. 2, pp. 141-141
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
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