Standout Papers

Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data ... 2023 2026 202483
  1. Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity (2024)
    Angelo Cardellicchio, Giovanni Dimauro et al. Computers and Electronics in Agriculture
  2. Artificial intelligence in structural health management of existing bridges (2024)
    Angelo Cardellicchio, Sergio Ruggieri et al. Automation in Construction
  3. Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors (2023)
    Angelo Cardellicchio, Giovanni Dimauro et al. Computers and Electronics in Agriculture
  4. Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage (2023)
    Angelo Cardellicchio, Sergio Ruggieri et al. Engineering Failure Analysis

Immediate Impact

50 standout
Sub-graph 1 of 24

Citing Papers

Missing measurement data recovery methods in structural health monitoring: The state, challenges and case study
2024 Standout
Adhesively bonded joints – A review on design, manufacturing, experiments, modeling and challenges
2024 Standout
2 intermediate papers

Works of Vito Renò being referenced

Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
2023 Standout
Modeling and classification of defects in CFRP laminates by thermal non-destructive testing
2017

Author Peers

Author Last Decade Papers Cites
Vito Renò 132 185 161 50 730
Jiangming Kan 191 52 112 92 825
Dawei Li 164 122 207 33 828
Na Jiang 69 220 56 61 816
Kazunobu Ishii 100 109 152 57 684
Mingzhu Luo 297 65 49 25 828
Xiao Zhao 136 50 116 50 641
Ola Ringdahl 85 75 34 29 653
Scarlett Liu 34 137 65 22 689
Francesco Adamo 71 40 71 42 737
Yuanhong Li 66 58 39 56 656

All Works

Loading papers...

Rankless by CCL
2026