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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:

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

Showing 1-25 of 98 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
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
Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold
Faming Huang, Jiawu Chen, Weiping Liu, et al.
Geomorphology (2022) Vol. 408, pp. 108236-108236
Closed Access | Times Cited: 150
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
An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost
Xinzhi Zhou, Haijia Wen, Ziwei Li, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 13419-13450
Closed Access | Times Cited: 114
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: 84
Uncertainties of landslide susceptibility prediction considering different landslide types
Faming Huang, Haowen Xiong, Chi Yao, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 2954-2972
Open Access | Times Cited: 70
Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models
Faming Huang, Haowen Xiong, Shixuan Chen, et al.
International Journal of Coal Science & Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China
Hanxiang Xiong, Chuanming Ma, Minghong Li, et al.
The Science of The Total Environment (2023) Vol. 866, pp. 161430-161430
Closed Access | Times Cited: 54
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
Factors Affecting Landslide Susceptibility Mapping: Assessing the Influence of Different Machine Learning Approaches, Sampling Strategies and Data Splitting
Minu Treesa Abraham, Neelima Satyam, Revuri Lokesh, et al.
Land (2021) Vol. 10, Iss. 9, pp. 989-989
Open Access | Times Cited: 64
Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector
Yue Wang, Haijia Wen, Deliang Sun, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2625-2625
Open Access | Times Cited: 59
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
Faming Huang, Siyu Tao, Deying Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4436-4436
Open Access | Times Cited: 51
The uncertainty of landslide susceptibility prediction modeling: suitability of linear conditioning factors
Faming Huang, Lihan Pan, Xuanmei Fan, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 5
Closed Access | Times Cited: 49
Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China
Junying Cheng, Xiaoai Dai, Zekun Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2257-2257
Open Access | Times Cited: 44
A Hybrid Landslide Warning Model Coupling Susceptibility Zoning and Precipitation
Deliang Sun, Qingyu Gu, Haijia Wen, et al.
Forests (2022) Vol. 13, Iss. 6, pp. 827-827
Open Access | Times Cited: 44
Landslide Susceptibility Mapping Based on Interpretable Machine Learning from the Perspective of Geomorphological Differentiation
Deliang Sun, D C Chen, Jialan Zhang, et al.
Land (2023) Vol. 12, Iss. 5, pp. 1018-1018
Open Access | Times Cited: 35
机器学习在滑坡智能防灾减灾中的应用与发展趋势
Jie Dou, Zilin Xiang, Qiang Xu, et al.
Earth Science-Journal of China University of Geosciences (2023) Vol. 48, Iss. 5, pp. 1657-1657
Open Access | Times Cited: 25
Comparison of natural breaks method and frequency ratio dividing attribute intervals for landslide susceptibility mapping
Chaoying Ke, Shu He, Yigen Qin
Bulletin of Engineering Geology and the Environment (2023) Vol. 82, Iss. 10
Closed Access | Times Cited: 25
Rapid monitoring of tea plants under cold stress based on UAV multi-sensor data
Yilin Mao, He Li, Yu Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108176-108176
Open Access | Times Cited: 24
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: 9
A SHAP-Enhanced XGBoost Model for Interpretable Prediction of Coseismic Landslides
Haijia Wen, Bo Liu, Mingrui Di, et al.
Advances in Space Research (2024) Vol. 74, Iss. 8, pp. 3826-3854
Closed Access | Times Cited: 9
Influences of non-landslide sampling strategies on landslide susceptibility mapping: a case of Tianshui city, Northwest of China
Chaoying Ke, Ping Sun, Shuai Zhang, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed 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
Empirical and machine learning-based approaches to identify rainfall thresholds for landslide prediction: a case study of Kerala, India
Varun Menon, Sreevalsa Kolathayar
Deleted Journal (2025) Vol. 7, Iss. 3
Open Access | Times Cited: 1
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