Standout Papers

Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Obser... 2020 2026 2022 2024255
  1. Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review (2020)
    Ava Vali, Sara Comai et al. Remote Sensing

Immediate Impact

59 standout
Sub-graph 1 of 23

Citing Papers

Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
2024 Standout
ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning
2024 Standout
2 intermediate papers

Works of Sara Comai being referenced

Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review
2020 Standout

Author Peers

Author Last Decade Papers Cites
Sara Comai 208 124 140 187 171 70 694
Wei Jie 131 188 147 159 176 51 829
Akansha Singh 98 155 215 187 88 81 811
Sulaiman Khan 111 157 181 172 139 53 816
Yen‐Chieh Ouyang 75 112 120 76 365 35 700
Xiaodao Chen 112 129 139 137 212 37 794
Laure Berti‐Équille 165 58 98 302 47 40 708
Craig A. Lee 191 95 297 76 117 23 598
Ladislav Hluchý 118 68 147 219 30 71 707
Ravi Shankar Singh 223 154 206 84 88 66 763
Supratik Mukhopadhyay 50 157 61 170 130 76 817

All Works

Loading papers...

Rankless by CCL
2026