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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:

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
Deliang Sun, Haijia Wen, Danzhou Wang, et al.
Geomorphology (2020) Vol. 362, pp. 107201-107201
Closed Access | Times Cited: 383

Showing 1-25 of 383 citing articles:

Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization
Xinzhi Zhou, Haijia Wen, Yalan Zhang, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 5, pp. 101211-101211
Open Access | Times Cited: 303
Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest
Deliang Sun, Jiahui Xu, Haijia Wen, et al.
Engineering Geology (2020) Vol. 281, pp. 105972-105972
Closed Access | Times Cited: 294
Deep learning-based landslide susceptibility mapping
Mohammad Azarafza, Mehdi Azarafza, Haluk Akgün, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 266
Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model
Junyi Zhang, Xianglong Ma, Jialan Zhang, et al.
Journal of Environmental Management (2023) Vol. 332, pp. 117357-117357
Closed Access | Times Cited: 249
A hybrid optimization method of factor screening predicated on GeoDetector and Random Forest for Landslide Susceptibility Mapping
Deliang Sun, Shuxian Shi, Haijia Wen, et al.
Geomorphology (2021) Vol. 379, pp. 107623-107623
Closed Access | Times Cited: 128
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: 114
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: 94
Assessment of landslide susceptibility along mountain highways based on different machine learning algorithms and mapping units by hybrid factors screening and sample optimization
Deliang Sun, Qingyu Gu, Haijia Wen, et al.
Gondwana Research (2022) Vol. 123, pp. 89-106
Closed Access | Times Cited: 94
Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
Taşkın Kavzoğlu, Alihan Teke
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 84
Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
Pedro Lima, Stefan Steger, Thomas Glade, et al.
Journal of Mountain Science (2022) Vol. 19, Iss. 6, pp. 1670-1698
Open Access | Times Cited: 81
An improved MCDM combined with GIS for risk assessment of multi-hazards in Hong Kong
Hai‐Min Lyu, Zhen‐Yu Yin
Sustainable Cities and Society (2023) Vol. 91, pp. 104427-104427
Closed Access | Times Cited: 64
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
Optimizing landslide susceptibility mapping using machine learning and geospatial techniques
Gazali Agboola, Leila Hashemi-Beni, Tamer Elbayoumi, et al.
Ecological Informatics (2024) Vol. 81, pp. 102583-102583
Open Access | Times Cited: 28
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 24
Effects of non-landslide sampling strategies on machine learning models in landslide susceptibility mapping
Tengfei Gu, Ping Duan, Mingguo Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 23
Ecological Security Pattern based on XGBoost-MCR model: A case study of the Three Gorges Reservoir Region
Deliang Sun, Xiaoqing Wu, Haijia Wen, et al.
Journal of Cleaner Production (2024) Vol. 470, pp. 143252-143252
Closed Access | Times Cited: 19
Deciphering decision-making mechanisms for the susceptibility of different slope geohazards: A case study on a SMOTE-RF-SHAP hybrid model
Junhao Huang, Haijia Wen, Jiwei Hu, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 18
An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest
Xin Xiao, Yi Zou, Jiangcheng Huang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment
Zizheng Guo, Haojie Wang, Jun He, et al.
Environmental Modelling & Software (2025) Vol. 186, pp. 106367-106367
Closed Access | Times Cited: 5
Quantitative assessment of the GLOF risk along China-Nepal transboundary basins by integrating remote sensing, machine learning, and hydrodynamic model
Manish Raj Gouli, Kaiheng Hu, Nitesh Khadka, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105231-105231
Closed Access | Times Cited: 4
Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China)
Yue Wang, Deliang Sun, Haijia Wen, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 12, pp. 4206-4206
Open Access | Times Cited: 120
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping
Mohammed Sarfaraz Gani Adnan, Md Salman Rahman, Nahian Ahmed, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3347-3347
Open Access | Times Cited: 117
Landslide hazard assessment based on Bayesian optimization–support vector machine in Nanping City, China
Wei Xie, Wen Nie, Pooya Saffari, et al.
Natural Hazards (2021) Vol. 109, Iss. 1, pp. 931-948
Closed Access | Times Cited: 103
An Optimized Random Forest Model and Its Generalization Ability in Landslide Susceptibility Mapping: Application in Two Areas of Three Gorges Reservoir, China
Deliang Sun, Jiahui Xu, Haijia Wen, et al.
Journal of Earth Science (2020) Vol. 31, Iss. 6, pp. 1068-1086
Closed Access | Times Cited: 98
Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest
Qian He, Ming Wang, Kai Liu
Geomorphology (2021) Vol. 391, pp. 107889-107889
Closed Access | Times Cited: 82
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