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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:

Dynamic development of landslide susceptibility based on slope unit and deep neural networks
Hua Ye, Xianmin Wang, LI Yong-wei, et al.
Landslides (2020) Vol. 18, Iss. 1, pp. 281-302
Closed Access | Times Cited: 99

Showing 26-50 of 99 citing articles:

Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China
Yang Zhang, Weicheng Wu, Yaozu Qin, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 11, pp. 695-695
Open Access | Times Cited: 45
Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy
Mohammad Mehrabi
Natural Hazards (2021) Vol. 111, Iss. 1, pp. 901-937
Open Access | Times Cited: 39
A frequency ratio–based sampling strategy for landslide susceptibility assessment
Leilei Liu, Yili Zhang, Ting Xiao, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 9
Closed Access | Times Cited: 28
Landform classification: a high-performing mapping unit partitioning tool for landslide susceptibility assessment—a test in the Imera River basin (northern Sicily, Italy)
Chiara Martinello, Chiara Cappadonia, Christian Conoscenti, et al.
Landslides (2022) Vol. 19, Iss. 3, pp. 539-553
Closed Access | Times Cited: 23
Spatiotemporal assessment of landslide susceptibility in Southern Sichuan, China using SA-DBN, PSO-DBN and SSA-DBN models compared with DBN model
Jiaying Li, Weidong Wang, Guangqi Chen, et al.
Advances in Space Research (2022) Vol. 69, Iss. 8, pp. 3071-3087
Closed Access | Times Cited: 23
DEWS: A QGIS tool pack for the automatic selection of reference rain gauges for landslide-triggering rainfall thresholds
Omar F. Althuwaynee, Massimo Melillo, Stefano Luigi Gariano, et al.
Environmental Modelling & Software (2023) Vol. 162, pp. 105657-105657
Open Access | Times Cited: 14
A new approach for landslide susceptibility assessments based on KDE-MDBN: A case study from mountainous regions impacted by the Wenchuan earthquake, China
Suyue Han, Bin Liu, Xinyue Fan, et al.
Environmental Modelling & Software (2023) Vol. 167, pp. 105759-105759
Closed Access | Times Cited: 14
Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador)
Sandra Lucía Cobos Mora, Víctor Rodríguez‐Galiano, Aracely Lima
Heliyon (2023) Vol. 9, Iss. 9, pp. e20170-e20170
Open Access | Times Cited: 14
Comparison of different open‐source Digital Elevation Models for landslide susceptibility mapping
Dingyang Lu, Guoan Tang, Ge Yan, et al.
Earth Surface Processes and Landforms (2024) Vol. 49, Iss. 4, pp. 1411-1427
Closed Access | Times Cited: 5
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
Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm
Xianmin Wang, Aiheng Du, Fengchang Hu, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13
A novel CGBoost deep learning algorithm for coseismic landslide susceptibility prediction
Qiyuan Yang, Xianmin Wang, Jing Yin, et al.
Geoscience Frontiers (2023) Vol. 15, Iss. 2, pp. 101770-101770
Open Access | Times Cited: 12
Spatiotemporal changes of landslide susceptibility in response to rainfall and its future prediction — A case study of Sichuan Province, China
Hao Zheng, Mingtao Ding
Ecological Informatics (2024), pp. 102862-102862
Open Access | Times Cited: 4
Quantifying uncertainty in landslide susceptibility mapping due to sampling randomness
Leilei Liu, Song Zhao, Can Yang, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 114, pp. 104966-104966
Closed Access | Times Cited: 4
A Comparative Study of Shallow Machine Learning Models and Deep Learning Models for Landslide Susceptibility Assessment Based on Imbalanced Data
Shiluo Xu, Yingxu Song, Xiulan Hao
Forests (2022) Vol. 13, Iss. 11, pp. 1908-1908
Open Access | Times Cited: 19
Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning
Xianmin Wang, Xinlong Zhang, Jia Bi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 21, pp. 14241-14241
Open Access | Times Cited: 18
Unveiling the amplifying impact: Anthropogenic activities and the two-fold surge in landslides in the Lesser Himalayas
S. Kaushal, Jiyadh Thanveer, Shah Masud ul Islam, et al.
CATENA (2025) Vol. 250, pp. 108771-108771
Closed Access
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
Evolution of landslide susceptibility in the Three Gorges Reservoir area over the three decades from 1991 to 2020
Jiahui Dong, Jinrong Duan, Runqing Ye, et al.
Geomatics Natural Hazards and Risk (2025) Vol. 16, Iss. 1
Open Access
Pixel-Wise Feature Fusion in Gully Susceptibility: A Comparison of Feed-Forward Neural Networks and Ensemble (Voting, Stacking) Models
Vincent E. Nwazelibe, Johnson C. Agbasi, Daniel A. Ayejoto, et al.
Journal of African Earth Sciences (2025), pp. 105633-105633
Open Access
Increasing Landslide Susceptibility in Urbanized Areas of Petrópolis Identified Through Spatio-Temporal Analysis
Cheila Flávia de Praga Baião, José Roberto Mantovani, Enner Alcântara
Journal of South American Earth Sciences (2025), pp. 105509-105509
Closed 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
The use of remote sensing satellite using deep learning in emergency monitoring of high-level landslides disaster in Jinsha River
Leijin Long, Feng He, Hongjiang Liu
The Journal of Supercomputing (2021) Vol. 77, Iss. 8, pp. 8728-8744
Open Access | Times Cited: 21
Landslide Displacement Prediction via Attentive Graph Neural Network
Ping Kuang, Rongfan Li, Ying Huang, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1919-1919
Open Access | Times Cited: 15
Landslide susceptibility prediction improvements based on a semi-integrated supervised machine learning model
Ning Yang, Rui Wang, Zhaofei Liu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 17, pp. 50280-50294
Closed Access | Times Cited: 9

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