13 citations as recorded by crossref.

1. Evaluating topography-based methods in 3D decomposition of InSAR 1D velocities obtained for translational landslides: Thompson River valley in Canada S. Sharifi et al. 10.1007/s10346-023-02153-0
2. A novel approach for underwater acoustic signal denoising based on improved time-variant filtered empirical mode decomposition and weighted fusion filtering G. Li et al. 10.1016/j.oceaneng.2024.119550
3. Precursory Motion and Time‐Of‐Failure Prediction of the Achoma Landslide, Peru, From High Frequency PlanetScope Satellites P. Lacroix et al. 10.1029/2023GL105413
4. An improved estimation of surficial velocities obtained by MT-TOPSAR interferometry: a case study of Oldman River Dam, Alberta, Canada S. Sharifi & M. Hendry 10.1007/s10064-023-03473-0
5. A framework for identifying the onset of landslide acceleration based on the exponential moving average (EMA) J. Wang et al. 10.1007/s11629-023-7905-0
6. Introduction and testing of a cost-effective GNSS system for landslide monitoring I. Berru Garcia et al. 10.1007/s11069-024-06536-x
7. Dynamic–static​ model for monitoring wastewater treatment processes H. Han et al. 10.1016/j.conengprac.2022.105424
8. A reliability evaluation of four landslide failure forecasting methods in real-time monitoring applications S. Sharifi et al. 10.1007/s10346-024-02293-x
9. Algorithms to enhance detection of landslide acceleration moment and time-to-failure forecast using time-series displacements S. Sharifi et al. 10.1016/j.enggeo.2022.106832
10. Using time series analysis and dual-stage attention-based recurrent neural network to predict landslide displacement D. Bai et al. 10.1007/s12665-022-10637-w
11. Behavior of Axially and Eccentrically Loaded Trapezoidal Shell Footings Resting on a Granular Assembly S. Sharifi et al. 10.1061/(ASCE)GM.1943-5622.0002442
12. Multi-Objective Collaborative Optimization of Distillation Column Group Based on System Identification R. He et al. 10.3390/pr11020436
13. Critical assessment of landslide failure forecasting methods with case histories: a comparative study of INV, MINV, SLO, and VOA S. Sharifi et al. 10.1007/s10346-024-02237-5