Standout Papers

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive wee... 2022 2026 2023 2024132
  1. A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings (2022)
    Qifan Wang, Man Cheng et al. Computers and Electronics in Agriculture

Immediate Impact

11 standout
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Citing Papers

Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification
2024 Standout
NVW-YOLOv8s: An improved YOLOv8s network for real-time detection and segmentation of tomato fruits at different ripeness stages
2024 Standout
1 intermediate paper

Works of Man Cheng being referenced

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings
2022 Standout

Author Peers

Author Last Decade Papers Cites
Man Cheng 172 62 13 38 10 273
Ron Berenstein 211 45 9 33 9 291
Farong Xu 142 34 8 28 7 290
Adair da Silva Oliveira 146 51 6 41 12 331
Ye Mu 87 33 3 44 26 228
Xinliang Tian 169 58 8 36 14 298
Jiahua Wu 195 21 5 49 16 270
Guo Hui 147 35 8 68 16 276
Liang Mao 97 24 5 115 9 303
Shiyun Wa 180 28 11 58 10 294
Oskar Marko 99 55 1 18 24 316

All Works

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2026