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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:

Landslide susceptibility prediction using an incremental learning Bayesian Network model considering the continuously updated landslide inventories
Faming Huang, Ye Zhou, Xiaoting Zhou, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 6
Closed Access | Times Cited: 16

Showing 16 citing articles:

Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy
Taorui Zeng, Liyang Wu, Dario Peduto, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 6, pp. 101645-101645
Open Access | Times Cited: 76
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: 57
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: 39
Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity
Bijing Jin, Taorui Zeng, Kunlong Yin, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 5, pp. 7872-7888
Open Access | Times Cited: 10
Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review
Stephen Akosah, Ivan Gratchev, Donghyun Kim, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 2947-2947
Open Access | Times Cited: 9
Incremental learning-random forest model-based landslide susceptibility analysis: A case of Ganzhou City, China
Xu Wang, Wen Nie, Wei Xie, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1645-1661
Closed Access | Times Cited: 5
Landslide Susceptibility Evaluation of Southeastern Çanakkale Strait (NW Türkiye) Using Logistic Regression, Artificial Neural Network and Support Vector Machine
Samet Berber, Murat Ercanoğlu, Şener Ceryan
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024) Vol. 48, Iss. 6, pp. 4575-4591
Closed Access | Times Cited: 4
Rock Slope Stability Prediction: A Review of Machine Learning Techniques
Arifuggaman Arif, Chunlei Zhang, Mahabub Hasan Sajib, et al.
Geotechnical and Geological Engineering (2025) Vol. 43, Iss. 3
Closed Access
Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining
Suhua Zhou, Wenjie Han, Minghua Huang, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2423-2423
Open Access
Earthquake-induced landslide prediction using a semi-supervised incremental learning strategy
Ying Zeng, Yingbin Zhang, Jing Liu
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 5
Closed Access
An information quantity and machine learning integrated model for landslide susceptibility mapping in Jiuzhaigou, China
Yunjie Yang, Rui Zhang, Tianyu Wang, et al.
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 10185-10217
Closed Access | Times Cited: 2
Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping
Hong‐Bin Shen, Faming Huang, Xinyue Fan, et al.
International Journal of Environmental Science and Technology (2022) Vol. 20, Iss. 10, pp. 11239-11254
Closed Access | Times Cited: 9
Co-seismic landslide susceptibility mapping for the Luding earthquake area based on heterogeneous ensemble machine learning models
Rui Zhang, Yunjie Yang, Tianyu Wang, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
New energy output prediction and demand response optimization based on LSTM-BN
Weisheng Wang, Wenhui Shi, Dongliang Nan, et al.
International Journal of Renewable Energy Development (2024)
Open Access | Times Cited: 1
Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining
Suhua Zhou, Wenjie Han, Keqiang Sun, et al.
(2024)
Closed Access
Spatio-temporal forecasting of landslide hazard in Chongqing National Transmission Protection Regions, China
Bijing Jin, Shuhao Liu, Taorui Zeng, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
Exploring Bayesian network model with noise filtering for rainfall-induced landslide susceptibility assessment in Fujian, China
Suhua Zhou, Jinfeng Li, Jiuchang Zhang, et al.
Frontiers in Earth Science (2024) Vol. 12
Closed Access
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