Standout Papers

Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data 2024 202659
  1. Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data (2024)
    Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture
  2. A model suitable for estimating above-ground biomass of potatoes at different regional levels (2024)
    Yang Liu, Yiguang Fan et al. Computers and Electronics in Agriculture
  3. Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques (2024)
    Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture
  4. Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery (2024)
    Yang Liu, Yiguang Fan et al. Computers and Electronics in Agriculture

Immediate Impact

No citation impact paths found for this author.

Author Peers

Author Last Decade Papers Cites
Mingbo Bian 362 165 139 234 17 473
Changwei Tan 344 135 127 348 37 566
Hao Jiang 295 94 152 247 16 554
E. Nagel 375 134 83 265 7 518
Shaoyu Han 294 137 91 228 29 418
Danielle Elis Garcia Furuya 318 182 96 276 17 509
Wanxue Zhu 398 261 106 271 26 559
Zhanyu Dong 292 167 55 222 11 544
Dthenifer Cordeiro Santana 329 105 164 328 48 509
Weijie Tang 375 134 217 287 23 511
Oz Kira 293 94 73 226 22 496

All Works

Loading papers...

Rankless by CCL
2026