Standout Papers

Deep learning and computer vision will transform entomology 2021 2026 2022 2024241
  1. Deep learning and computer vision will transform entomology (2021)
    Toke T. Høye, Johanna Ärje et al. Proceedings of the National Academy of Sciences

Immediate Impact

45 standout
Sub-graph 1 of 18

Citing Papers

Significance of precise documentation of hosts and geospatial data of fungal collections, with an emphasis on plant‐associated fungi
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Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification
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2 intermediate papers

Works of Claus Melvad being referenced

Deep learning and computer vision will transform entomology
2021 Standout

Author Peers

Author Last Decade Papers Cites
Claus Melvad 32 89 12 90 80 15 372
Dae‐Seong Lee 13 153 3 84 55 40 456
Mary E. Cablk 17 188 2 32 33 12 434
Guoqing Li 47 60 39 46 32 38 402
Sarah M. Swope 33 138 58 151 16 436
Eduardo Días 26 74 4 35 100 39 344
Thomas Vanneste 49 82 25 110 115 27 402
Nan Jiang 56 64 2 38 94 35 398
Willow Hallgren 28 127 26 183 62 16 410
Michael Hall 7 126 24 48 106 14 408
Jennifer M. Lucey 5 279 3 27 78 14 402

All Works

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2026