Standout Papers

Deep learning classifiers for hyperspectral imaging: A review 2017 2026 2020 2023 693
  1. Deep learning classifiers for hyperspectral imaging: A review (2019)
    Mercedes E. Paoletti, Juan M. Haut et al. ISPRS Journal of Photogrammetry and Remote Sensing
  2. A new deep convolutional neural network for fast hyperspectral image classification (2017)
    Mercedes E. Paoletti, Juan M. Haut et al. ISPRS Journal of Photogrammetry and Remote Sensing
  3. Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification (2018)
    Mercedes E. Paoletti, Juan M. Haut et al. IEEE Transactions on Geoscience and Remote Sensing

Immediate Impact

1 from Science/Nature 69 standout
Sub-graph 1 of 16

Citing Papers

Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
2025 Standout
MambaHSI: Spatial–Spectral Mamba for Hyperspectral Image Classification
2024 Standout
31 intermediate papers

Works of Mercedes E. Paoletti being referenced

Deep learning classifiers for hyperspectral imaging: A review
2019 Standout
Capsule Networks for Hyperspectral Image Classification
2018
and 18 more

Author Peers

Author Last Decade Papers Cites
Mercedes E. Paoletti 3430 1572 1854 83 4.3k
Juan M. Haut 3531 1548 1948 83 4.5k
Sen Jia 3468 1465 2006 84 4.4k
Wenzhi Liao 3474 2015 1205 101 4.6k
Saurabh Prasad 3177 1299 1719 79 4.3k
Swalpa Kumar Roy 2648 1003 1567 60 3.5k
James C. Tilton 2469 871 1636 72 3.6k
Hongjun Su 2451 1005 1517 112 3.4k
Melba M. Crawford 2741 1353 1487 94 4.4k
Hassan Ghassemian 2491 1261 1014 148 3.8k
Yuliya Tarabalka 3310 1256 2048 41 4.4k

All Works

Loading papers...

Rankless by CCL
2026