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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 hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping
Xin Wei, Lulu Zhang, Junyao Luo, et al.
Natural Hazards (2021) Vol. 109, Iss. 1, pp. 471-497
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Review of landslide susceptibility assessment based on knowledge mapping
Chen Yong, Dong Jinlong, Fei Guo, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 9, pp. 2399-2417
Closed Access | Times Cited: 90
Physics-informed optimization for a data-driven approach in landslide susceptibility evaluation
Songlin Liu, Luqi Wang, Wengang Zhang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 8, pp. 3192-3205
Open Access | Times Cited: 20
Improving pixel-based regional landslide susceptibility mapping
Xin Wei, Paolo Gardoni, Lulu Zhang, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101782-101782
Open Access | Times Cited: 17
Enhancing long-term prediction of non-homogeneous landslides incorporating spatiotemporal graph convolutional networks and InSAR
Zongzheng Li, Jianping Chen, Chen Cao, et al.
Engineering Geology (2025), pp. 107917-107917
Closed Access | Times Cited: 1
Comparative Study of Convolutional Neural Network and Conventional Machine Learning Methods for Landslide Susceptibility Mapping
Rui Liu, Xin Yang, Chong Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 321-321
Open Access | Times Cited: 57
Combining spatial response features and machine learning classifiers for landslide susceptibility mapping
Ruilong Wei, Chengming Ye, Tianbo Sui, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102681-102681
Open Access | Times Cited: 53
Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales
Xin Wei, Lulu Zhang, Paolo Gardoni, et al.
Acta Geotechnica (2023) Vol. 18, Iss. 8, pp. 4453-4476
Closed Access | Times Cited: 31
Machine learning based landslide susceptibility mapping models and GB-SAR based landslide deformation monitoring systems: Growth and evolution
Babitha Ganesh, Shweta Vincent, Sameena Pathan, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 29, pp. 100905-100905
Closed Access | Times Cited: 25
Interferometric Synthetic Aperture Radar (InSAR)-Based Absence Sampling for Machine-Learning-Based Landslide Susceptibility Mapping: The Three Gorges Reservoir Area, China
Ruiqi Zhang, Lele Zhang, Zhice Fang, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2394-2394
Open Access | Times Cited: 9
On the importance of landslide management: Insights from a 32-year database of landslide consequences and rainfall in Hong Kong
Haoqing Yang, Lulu Zhang, Liang Gao, et al.
Engineering Geology (2022) Vol. 299, pp. 106578-106578
Closed Access | Times Cited: 34
Landslide Susceptibility Mapping in Guangdong Province, China, Using Random Forest Model and Considering Sample Type and Balance
Li Zhuo, Yupu Huang, Jing Zheng, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9024-9024
Open Access | Times Cited: 16
Spatial–Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images
Zhiyong Lv, Tianyv Yang, Tao Lei, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 6
Fast physically-based probabilistic modelling of rainfall-induced shallow landslide susceptibility at the regional scale considering geotechnical uncertainties and different hydrological conditions
Hongzhi Cui, Vicente Medina, Marcel Hürlimann, et al.
Computers and Geotechnics (2024) Vol. 172, pp. 106400-106400
Open Access | Times Cited: 6
A hybrid data-driven approach for rainfall-induced landslide susceptibility mapping: Physically-based probabilistic model with convolutional neural network
Hongzhi Cui, Bin Tong, Tao Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 6
Construction and preliminary analysis of landslide database triggered by heavy storm in the parallel range-valley area of western Chongqing, China, on 8 June 2017
Jielin Liu, Chong Xu
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 5
Quantitative risk assessment of landslides with direct simulation of pre-failure to post-failure behaviors
Qi Cui, Lulu Zhang, Xiangyu Chen, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 10, pp. 4497-4514
Closed Access | Times Cited: 23
Prediction and mapping of soil thickness in alpine canyon regions based on whale optimization algorithm optimized random forest: A case study of Baihetan Reservoir area in China
Zhenghai Xue, Xiaoyu Yi, Wenkai Feng, et al.
Computers & Geosciences (2024) Vol. 191, pp. 105667-105667
Closed Access | Times Cited: 4
A physics-informed machine learning solution for landslide susceptibility mapping based on three-dimensional slope stability evaluation
Yunhao Wang, Luqi Wang, Wengang Zhang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 4
Spatial joint hazard assessment of landslide susceptibility and intensity within a single framework: Environmental insights from the Wenchuan earthquake
Zhangying Tang, Xue Zheng, Jay Pan, et al.
The Science of The Total Environment (2025) Vol. 963, pp. 178545-178545
Closed Access
Time-varying mechanisms of hydraulic properties of root-soil composites under plant root decay
Suyun Meng, Tongyun Zhang, Guoqing Zhao, et al.
Journal of Hydrology (2025), pp. 133192-133192
Closed Access
Temporal evolution of the hydromechanical properties of soil-root systems in a forest fire in China
Mingyu Lei, Yifei Cui, Junjun Ni, et al.
The Science of The Total Environment (2021) Vol. 809, pp. 151165-151165
Closed Access | Times Cited: 31
Comparing Convolutional Neural Network and Machine Learning Models in Landslide Susceptibility Mapping: A Case Study in Wenchuan County
Sikui Zhang, Lin Bai, Yuanwei Li, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 20
A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction
Jiayao Tan, Chao Yang, Yuzhou Wang, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 3
Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility
Ru Liu, Jianbing Peng, Yanqiu Leng, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 4966-4966
Open Access | Times Cited: 24
Probabilistic model calibration of spatial variability for a physically-based landslide susceptibility model
Junyao Luo, Lulu Zhang, Haoqing Yang, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2021) Vol. 16, Iss. 4, pp. 728-745
Closed Access | Times Cited: 23
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