Standout Papers

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based r... 2019 2026 2021 2023 260
  1. Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images (2019)
    Qi Yang, Liangsheng Shi et al. Field Crops Research

Immediate Impact

11 from Science/Nature 63 standout
Sub-graph 1 of 23

Citing Papers

Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
2024 Standout
Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
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1 intermediate paper

Works of Qi Yang being referenced

A near real-time deep learning approach for detecting rice phenology based on UAV images
2020
Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images
2019 Standout

Author Peers

Author Last Decade Papers Cites
Qi Yang 310 570 481 497 55 1.4k
Matt Aitkenhead 271 403 363 327 73 1.4k
Aimrun Wayayok 320 324 393 598 130 1.6k
Ranvir Singh 386 571 544 364 65 1.6k
Bappa Das 302 437 345 676 105 1.7k
Weihong Luo 258 437 270 1099 73 1.7k
Amy L. Kaleita 292 290 319 285 77 1.1k
Vinay Kumar Sehgal 157 394 303 545 129 1.4k
J. K. Aase 595 489 321 460 59 1.6k
Sami Khanal 134 505 355 478 37 1.4k
Ruixiu Sui 469 264 308 567 75 1.2k

All Works

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2026