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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:

Modeling Landslide Susceptibility in Forest-Covered Areas in Lin’an, China, Using Logistical Regression, a Decision Tree, and Random Forests
Chongzhi Chen, Zhangquan Shen, Yuhui Weng, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4378-4378
Open Access | Times Cited: 19

Showing 19 citing articles:

Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques
Zuleide Alves Ferreira, Bruna Almeida, Ana Cristina Costa, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Landslide Dynamic Susceptibility Mapping Base on Machine Learning and the PS-InSAR Coupling Model
Fasheng Miao, Qiuyu Ruan, Yiping Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5427-5427
Open Access | Times Cited: 20
Seismic Landslide Susceptibility Assessment Using Newmark Displacement Based on a Dual-Channel Convolutional Neural Network
Yan Li, Dongping Ming, Liang Zhang, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 566-566
Open Access | Times Cited: 8
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: 5
SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization
Jianguo Miao, Xuanxuan Liu, Li Guo, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112343-112343
Closed Access | Times Cited: 5
Indispensable factors in landslide susceptibility modeling: the critical role of slope unit quantity-sensitivity
Rui Liu, Jiale Han, J.B. Gou, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Can different machine learning methods have consistent interpretations of DEM-based factors in shallow landslide susceptibility assessments?
Fanshu Xu, Qiang Xu, Chuanhao Pu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2025)
Open Access
Comprehensive Landslide Hazard Assessment Using Spatial, Temporal and Size Probabilities Combined with Landslide Density Analysis in Çanakkale (NW Türkiye)
Samet Berber, Şener Ceryan, Murat Ercanoğlu
Advances in Space Research (2025)
Closed Access
Landslide susceptibility mapping of Tegucigalpa, Honduras
Maynor A. Ruiz-Álvarez, Daniel Hernández Cruz, Adolfo Quesada‐Román
Journal of South American Earth Sciences (2025), pp. 105555-105555
Closed Access
Evaluation of Geological Hazards Susceptibility along the Hefei-Fuzhou High- Speed Railway Based on Machine Learning Algorithms
Jiarong Liang, Wenwen Qi, Chong Xu, et al.
Research Square (Research Square) (2025)
Closed Access
Hybrid prediction for reservoir landslide deformation based on multi-source InSAR and deep learning
Qiuyu Ruan, Fasheng Miao, Kang Liao, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 6
Closed Access
Risk Mapping of Geological Hazards in Plateau Mountainous Areas Based on Multisource Remote Sensing Data Extraction and Machine Learning (Fuyuan, China)
Shaohan Zhang, Shucheng Tan, Yongqi Sun, et al.
Land (2024) Vol. 13, Iss. 9, pp. 1361-1361
Open Access | Times Cited: 2
Identification of potential landslide in Jianzha county based on InSAR and deep learning
Xianwu Yang, Dannuo Chen, Yihang Dong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Incorporating modelling uncertainty and prior knowledge into landslide susceptibility mapping using Bayesian neural networks
Chongzhi Chen, Zhangquan Shen, Luming Fang, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-20
Closed Access | Times Cited: 2
Multi-defect risk assessment in high-speed rail subgrade infrastructure in China
Jinchen Wang, Yinsheng Zhang, Luqi Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
An Innovative Fusion of New Smile Random Forest and Fuzzy Analysis for Comprehensive Seismic hazard Assessment: A Case Study in Mersin, Türkiye
Murat Yakar, Khalil Valizadeh Kamran, Aydın Alptekin, et al.
Research Square (Research Square) (2024)
Open Access
Identification of Potential Landslide in Jianzha Counctry Based on InSAR and Deep Learning
Xianwu Yang, Dannuo Chen, Yihang Dong, et al.
Research Square (Research Square) (2024)
Closed Access
Forecasting urban forest recreation areas in Turkey using machine learning methods
Mehmet Cüneyt Özbalcı, Sena DİKİCİ, Turgay Tugay Bilgin
Journal of Scientific Reports-A (2024), Iss. 058, pp. 40-56
Closed Access
Development of shallow landslide susceptibility maps incorporating relative spacing index for forest management
Hiroki Asada, Yuta Hasegawa, Tomoko MINAGAWA
Environmental and Sustainability Indicators (2024), pp. 100515-100515
Open Access
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