Standout Papers

Self-Supervised Learning in Remote Sensing: A review 2022 2026 2023 2024158
  1. Self-Supervised Learning in Remote Sensing: A review (2022)
    Yi Wang, Conrad M Albrecht et al. IEEE Geoscience and Remote Sensing Magazine

Immediate Impact

20 standout
Sub-graph 1 of 8

Citing Papers

Foundation Models Defining a New Era in Vision: A Survey and Outlook
2025 Standout
RSGPT: A remote sensing vision language model and benchmark
2025 Standout
2 intermediate papers

Works of Conrad M Albrecht being referenced

Self-Supervised Learning in Remote Sensing: A review
2022 Standout

Author Peers

Author Last Decade Papers Cites
Conrad M Albrecht 150 102 76 28 341
B. Kartikeyan 118 102 42 26 300
Giovanni Marchisio 223 160 34 16 340
Qinghui Liu 107 99 36 31 356
William Basener 180 27 51 37 341
Daoyu Lin 224 240 74 22 363
Jinghui Yang 253 125 23 37 378
Marcela Charfuelàn 166 98 94 16 302
Qing Zhao 161 151 104 17 350
Yonghyun Kim 206 76 44 20 341
Abel Paz 260 94 55 27 395

All Works

Loading papers...

Rankless by CCL
2026