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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:

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: 76

Showing 1-25 of 76 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: 61
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: 59
A LightGBM-based landslide susceptibility model considering the uncertainty of non-landslide samples
Deliang Sun, WU Xiao-qing, Haijia Wen, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 52
Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
Taorui Zeng, Liyang Wu, Yuichi S. Hayakawa, et al.
Engineering Geology (2024) Vol. 331, pp. 107436-107436
Closed Access | Times Cited: 26
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: 21
Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry
Taorui Zeng, Bijing Jin, Thomas Glade, et al.
CATENA (2023) Vol. 236, pp. 107732-107732
Closed Access | Times Cited: 41
A depth information-based method to enhance rainfall-induced landslide deformation area identification
Canming Yuan, Qihang Li, Wen Nie, et al.
Measurement (2023) Vol. 219, pp. 113288-113288
Closed Access | Times Cited: 39
Uncertainties of landslide susceptibility prediction: Influences of random errors in landslide conditioning factors and errors reduction by low pass filter method
Faming Huang, Zuokui Teng, Chi Yao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 1, pp. 213-230
Open Access | Times Cited: 31
Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms
Zhuo Chen, Danqing Song
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3384-3416
Open Access | Times Cited: 24
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Nafees Ali, Jian Chen, Xiaodong Fu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 988-988
Open Access | Times Cited: 17
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: 11
Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
Rongjie He, Wengang Zhang, Jie Dou, et al.
Rock Mechanics Bulletin (2024) Vol. 3, Iss. 4, pp. 100144-100144
Open Access | Times Cited: 10
A landslide susceptibility assessment method considering the similarity of geographic environments based on graph neural network
Qing Zhang, Yi He, Lifeng Zhang, et al.
Gondwana Research (2024) Vol. 132, pp. 323-342
Closed Access | Times Cited: 9
Interpretable machine learning models and decision-making mechanisms for landslide hazard assessment under different rainfall conditions
Haijia Wen, Fangyi Yan, Junhao Huang, et al.
Expert Systems with Applications (2025), pp. 126582-126582
Closed Access | Times Cited: 1
Landslide Susceptibility Assessment Using the Geographical-Optimal-Similarity Model
Yonghong Xiao, Guolong Li, Wei Lu, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1843-1843
Open Access | Times Cited: 1
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 | Times Cited: 1
Land subsidence susceptibility mapping in urban settlements using time-series PS-InSAR and random forest model
Fancheng Zhao, Fasheng Miao, Yiping Wu, et al.
Gondwana Research (2023) Vol. 125, pp. 406-424
Closed Access | Times Cited: 18
Enhanced Absence Sampling Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China
Zijin Fu, Fawu Wang, Jie Dou, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3345-3345
Open Access | Times Cited: 17
Landslide spatial prediction using cluster analysis
Zheng Zhao, Hengxing Lan, Langping Li, et al.
Gondwana Research (2024) Vol. 130, pp. 291-307
Closed Access | Times Cited: 8
Single landslide risk assessment considering rainfall‐induced landslide hazard and the vulnerability of disaster‐bearing body
Faming Huang, K Y Liu, Zhiyong Li, et al.
Geological Journal (2024) Vol. 59, Iss. 9, pp. 2549-2565
Closed Access | Times Cited: 8
Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection
Jiangang Lu, Yi He, Lifeng Zhang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
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
A Deep Neural Network Framework for Landslide Susceptibility Mapping by Considering Time-Series Rainfall
Binghai Gao, Yi He, Xueye Chen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 5946-5969
Open Access | Times Cited: 5
What ecological factors to integrate in landslide susceptibility mapping? An exploratory review of current trends in support of eco-DRR
Mélanie Broquet, Pedro Cabral, Felipe S. Campos
Progress in Disaster Science (2024) Vol. 22, pp. 100328-100328
Open Access | Times Cited: 5
A review on landslide susceptibility mapping research in Bangladesh
Md. Sharafat Chowdhury
Heliyon (2023) Vol. 9, Iss. 7, pp. e17972-e17972
Open Access | Times Cited: 13
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