Standout Papers

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects 2021 2026 2022 2024252
  1. Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects (2021)
    Muhammad Ahmad, Sidrah Shabbir et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Immediate Impact

60 standout
Sub-graph 1 of 20

Citing Papers

A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
2025 Standout
MSFMamba: Multiscale Feature Fusion State Space Model for Multisource Remote Sensing Image Classification
2025 Standout
6 intermediate papers

Works of Sidrah Shabbir being referenced

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
2021 Standout
Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification
2020

Author Peers

Author Last Decade Papers Cites
Sidrah Shabbir 256 90 1 150 5 319
Hsin-Hua Ho 147 57 106 2 278
Jing Wang 233 65 104 10 306
Redha Touati 214 65 2 124 9 281
Qianming Li 253 86 120 14 322
Saimin Zhang 179 92 106 8 326
Guihua Tang 274 105 199 4 322
Suju Rajan 225 135 78 4 296
Tianyi Jia 215 74 123 4 307
Fulin Xu 316 99 126 7 365
Taylor Glenn 144 65 6 74 11 254

All Works

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Rankless by CCL
2026