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
  2. Towards the fully automated monitoring of ecological communities (2022)
    Marc Besson, Jamie Alison et al. Ecology Letters

Immediate Impact

52 standout
Sub-graph 1 of 21

Citing Papers

Significance of precise documentation of hosts and geospatial data of fungal collections, with an emphasis on plant‐associated fungi
2024 Standout
Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification
2024 Standout
2 intermediate papers

Works of Kim Bjerge being referenced

Deep learning and computer vision will transform entomology
2021 Standout

Author Peers

Author Last Decade Papers Cites
Kim Bjerge 214 201 173 203 21 682
Liqiang Ji 89 260 103 149 45 655
Benjamin Price 168 246 203 330 58 782
Katja C. Seltmann 238 185 152 436 35 730
Col R. Ford 310 111 248 465 15 819
Michael Rzanny 68 245 55 259 31 819
Leslie L. Allee 477 176 127 183 24 792
Klaus Reinhardt 130 57 225 332 36 708
Cong Liu 66 71 271 312 53 681
Joshua P. Jahner 166 109 229 359 30 601
Sue Worner 371 113 68 249 27 682

All Works

Loading papers...

Rankless by CCL
2026