Publications of Soukaina Filali Boubrahimi


A list of publications authored or co-authored by Soukaina Filali Boubrahimi, derived from the SAO/NASA Astrophysics Data System (ADS). The number in brackets after each title indicates the number of citations that the paper has received.

Orcid ID: 0000-0001-5693-6383

List of publications ordered by citations
Number of papers: 19 (refereed: 18)
No. of citations: 101
First author papers: 2 (refereed: 2)

2025

  1. Improved Streamflow Forecasting Through SWE-Augmented Spatio-Temporal Graph Neural Networks [0]
    Akkala, Akhila, Boubrahimi, Soukaina Filali, Hamdi, Shah Muhammad, Hosseinzadeh, Pouya & Nassar, Ayman, Hydrology, 12, 268
  2. Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin [8]
    Akkala, Akhila, Boubrahimi, Soukaina Filali, Hamdi, Shah Muhammad, Hosseinzadeh, Pouya & Nassar, Ayman, Hydrology, 12, 60
  3. Predicting Solar Energetic Particle Events with Time Series Shapelets [0]
    Bahri, Omar, Li, Peiyu, Filali Boubrahimi, Soukaïna & Hamdi, Shah Muhammad, ApJ, 980, 128
  4. An End-to-end Ensemble Machine Learning Approach for Predicting High-impact Solar Energetic Particle Events Using Multimodal Data [0]
    Hosseinzadeh, Pouya, Filali Boubrahimi, Soukaina & Hamdi, Shah Muhammad, ApJS, 277, 34
  5. Evaluating Time-series Augmentation Techniques for Deep Learning–Based Solar Flare Prediction [1]
    Li, Peiyu, Bahri, Omar, Filali Boubrahimi, Soukaïna & Hamdi, Shah Muhammad, ApJS, 280, 52
  6. Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations [2]
    Vural, Onur, Hamdi, Shah Muhammad & Boubrahimi, Soukaina Filali, Remote Sensing, 17, 1075

2024

  1. Identifying Flare-indicative Photospheric Magnetic Field Parameters from Multivariate Time-series Data of Solar Active Regions [5]
    Alshammari, Khaznah, Hamdi, Shah Muhammad & Filali Boubrahimi, Soukaina, ApJS, 271, 39
  2. Impacts of Data Preprocessing and Sampling Techniques on Solar Flare Prediction from Multivariate Time Series Data of Photospheric Magnetic Field Parameters [11]
    EskandariNasab, MohammadReza, Hamdi, Shah Muhammad & Filali Boubrahimi, Soukaina, ApJS, 275, 6
  3. Spatiotemporal Data Augmentation of MODIS-Landsat Water Bodies Using Adversarial Networks [14]
    Filali Boubrahimi, Soukaina, Neema, Ashit, Nassar, Ayman, Hosseinzadeh, Pouya & Hamdi, Shah Muhammad, Water Resources Research, 60, e2023WR036342
  4. Improving Solar Energetic Particle Event Prediction through Multivariate Time Series Data Augmentation [16]
    Hosseinzadeh, Pouya, Filali Boubrahimi, Soukaina & Hamdi, Shah Muhammad, ApJS, 270, 31
  5. Toward Enhanced Prediction of High-Impact Solar Energetic Particle Events Using Multimodal Time Series Data Fusion Models [5]
    Hosseinzadeh, Pouya, Filali Boubrahimi, Soukaina & Hamdi, Shah Muhammad, Space Weather, 22, e2024SW003982
  6. Combining Empirical and Physics-Based Models for Solar Wind Prediction [1]
    Johnson, Rob, Filali Boubrahimi, Soukaina, Bahri, Omar & Hamdi, Shah Muhammad, Universe, 10, 191
  7. Classification of Major Solar Flares from Extremely Imbalanced Multivariate Time Series Data Using Minimally Random Convolutional Kernel Transform [5]
    Saini, Kartik, Alshammari, Khaznah, Hamdi, Shah Muhammad & Filali Boubrahimi, Soukaina, Universe, 10, 234
  8. Enhancing Monthly Streamflow Prediction Using Meteorological Factors and Machine Learning Models in the Upper Colorado River Basin [3]
    Thota, Saichand, Nassar, Ayman, Filali Boubrahimi, Soukaina, Hamdi, Shah Muhammad & Hosseinzadeh, Pouya, Hydrology, 11, 66
  9. Time-Series Feature Selection for Solar Flare Forecasting [5]
    Velanki, Yagnashree, Hosseinzadeh, Pouya, Boubrahimi, Soukaina Filali & Hamdi, Shah Muhammad, Universe, 10, 373
  10. Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data [0]
    Vural, Onur, Hamdi, Shah Muhammad & Boubrahimi, Soukaina Filali, 2024 International Conference on Machine Learning and Applications (ICMLA), p. 163

2023

  1. ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data [13]
    Hosseinzadeh, Pouya, Nassar, Ayman, Boubrahimi, Soukaina Filali & Hamdi, Shah Muhammad, Hydrology, 10, 29

2018

  1. Spatiotemporal Interpolation Methods for Solar Event Trajectories [5]
    Filali Boubrahimi, Soukaina, Aydin, Berkay, Schuh, Michael A., Kempton, Dustin, Angryk, Rafal A. & Ma, Ruizhe, ApJS, 236, 23
  2. Coronal Mass Ejection Data Clustering and Visualization of Decision Trees [7]
    Ma, Ruizhe, Angryk, Rafal A., Riley, Pete & Filali Boubrahimi, Soukaina, ApJS, 236, 14


Created on Wed Apr 8 04:40:41 2026.