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Cited by in F6Publishing
For: Ma Z, Mei G, Prezioso E, Zhang Z, Xu N. A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data. Neural Comput & Applic 2021;33:14441-57. [DOI: 10.1007/s00521-021-06084-6] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Valletta A, Carri A, Segalini A. Alert threshold assessment based on equivalent displacements for the identification of potentially critical landslide events. Nat Hazards. [DOI: 10.1007/s11069-022-05606-2] [Reference Citation Analysis]
2 Yang Y, Mei G. A Deep Learning-Based Approach for a Numerical Investigation of Soil–Water Vertical Infiltration with Physics-Informed Neural Networks. Mathematics 2022;10:2945. [DOI: 10.3390/math10162945] [Reference Citation Analysis]
3 Zanfei A, Brentan BM, Menapace A, Righetti M, Herrera M. Graph Convolutional Recurrent Neural Networks for Water Demand Forecasting. Water Resources Research 2022;58. [DOI: 10.1029/2022wr032299] [Reference Citation Analysis]
4 Xu W, Xu H, Chen J, Kang Y, Pu Y, Ye Y, Tong J. Combining Numerical Simulation and Deep Learning for Landslide Displacement Prediction: An Attempt to Expand the Deep Learning Dataset. Sustainability 2022;14:6908. [DOI: 10.3390/su14116908] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Jiang Y, Luo H, Xu Q, Lu Z, Liao L, Li H, Hao L. A Graph Convolutional Incorporating GRU Network for Landslide Displacement Forecasting Based on Spatiotemporal Analysis of GNSS Observations. Remote Sensing 2022;14:1016. [DOI: 10.3390/rs14041016] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
6 Bonilla CA, Zanfei A, Brentan B, Montalvo I, Izquierdo J. A Digital Twin of a Water Distribution System by Using Graph Convolutional Networks for Pump Speed-Based State Estimation. Water 2022;14:514. [DOI: 10.3390/w14040514] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]