Angelo Cardellicchio

914 total citations · 4 hit papers
38 papers, 634 citations indexed

About

Angelo Cardellicchio is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Plant Science. According to data from OpenAlex, Angelo Cardellicchio has authored 38 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Civil and Structural Engineering, 8 papers in Mechanical Engineering and 6 papers in Plant Science. Recurrent topics in Angelo Cardellicchio's work include Infrastructure Maintenance and Monitoring (13 papers), Concrete Corrosion and Durability (10 papers) and Structural Health Monitoring Techniques (8 papers). Angelo Cardellicchio is often cited by papers focused on Infrastructure Maintenance and Monitoring (13 papers), Concrete Corrosion and Durability (10 papers) and Structural Health Monitoring Techniques (8 papers). Angelo Cardellicchio collaborates with scholars based in Italy, United States and Albania. Angelo Cardellicchio's co-authors include Giuseppina Uva, Sergio Ruggieri, Vito Renò, Andrea Nettis, Valeria Leggieri, Giovanni Dimauro, Stephan Summerer, Angelo Petrozza, Francesco Cellini and Massimiliano Nitti and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Plant Science.

In The Last Decade

Angelo Cardellicchio

31 papers receiving 618 citations

Hit Papers

Detection of tomato plant... 2023 2026 2024 2023 2023 2024 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors
    2023 92 citations Angelo Cardellicchio, Giovanni Dimauro et al. Computers and Electronics in Agriculture profile →
  2. Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage
    2023 87 citations Angelo Cardellicchio, Sergio Ruggieri et al. Engineering Failure Analysis profile →
  3. Artificial intelligence in structural health management of existing bridges
    2024 55 citations Angelo Cardellicchio, Sergio Ruggieri et al. Automation in Construction profile →
  4. Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity
    2024 50 citations Angelo Cardellicchio, Giovanni Dimauro et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Angelo Cardellicchio Italy 13 352 125 69 65 47 38 634
Zhi Chen China 16 128 0.4× 84 0.7× 25 0.4× 240 3.7× 25 0.5× 71 776
Han Sun United States 8 703 2.0× 49 0.4× 169 2.4× 48 0.7× 10 0.2× 16 953
Ruifang Zhai China 12 79 0.2× 124 1.0× 31 0.4× 16 0.2× 20 0.4× 51 475
K. Kamal United Kingdom 12 394 1.1× 13 0.1× 40 0.6× 148 2.3× 127 2.7× 22 646
Shuwei Li China 7 240 0.7× 9 0.1× 30 0.4× 87 1.3× 32 0.7× 12 574
Yizhuo Zhang China 13 49 0.1× 38 0.3× 53 0.8× 29 0.4× 155 3.3× 42 431
Imane Sebari Morocco 14 37 0.1× 71 0.6× 48 0.7× 29 0.4× 71 1.5× 41 601

Countries citing papers authored by Angelo Cardellicchio

Since Specialization
Citations

This map shows the geographic impact of Angelo Cardellicchio's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Angelo Cardellicchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Cardellicchio more than expected).

Fields of papers citing papers by Angelo Cardellicchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelo Cardellicchio. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Angelo Cardellicchio. The network helps show where Angelo Cardellicchio may publish in the future.

Co-authorship network of co-authors of Angelo Cardellicchio

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Cardellicchio. A scholar is included among the top collaborators of Angelo Cardellicchio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Angelo Cardellicchio. Angelo Cardellicchio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Cardellicchio, Angelo, et al.. (2025). Computer vision-based seismic assessment of RC simply supported bridges characterized by corroded circular piers. Bulletin of Earthquake Engineering. 23(15). 6771–6800.
4.
Ruggieri, Sergio, Angelo Cardellicchio, Andrea Nettis, Vito Renò, & Giuseppina Uva. (2024). Automatic detection of typical defects in reinforced concrete bridges via YOLOv5. Procedia Structural Integrity. 62. 129–136. 4 indexed citations
5.
Cardellicchio, Angelo, et al.. (2024). Artificial intelligence in structural health management of existing bridges. Automation in Construction. 167. 105719–105719. 55 indexed citations breakdown →
6.
Renò, Vito, et al.. (2024). AI-assisted image analysis and physiological validation for progressive drought detection in a diverse panel of Gossypium hirsutum L.. Frontiers in Plant Science. 14. 1305292–1305292. 1 indexed citations
7.
Cardellicchio, Angelo, et al.. (2024). Patch-based probabilistic identification of plant roots using convolutional neural networks. Pattern Recognition Letters. 183. 125–132.
8.
Cardellicchio, Angelo, Giovanni Dimauro, Angelo Petrozza, et al.. (2024). Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity. Computers and Electronics in Agriculture. 218. 108728–108728. 50 indexed citations breakdown →
9.
Cardellicchio, Angelo, et al.. (2024). A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms. IEEE Access. 12. 93911–93923. 13 indexed citations
10.
Cardellicchio, Angelo, Sergio Ruggieri, Andrea Nettis, Vito Renò, & Giuseppina Uva. (2023). Physical interpretation of machine learning-based recognition of defects for the risk management of existing bridge heritage. Engineering Failure Analysis. 149. 107237–107237. 87 indexed citations breakdown →
11.
Cardellicchio, Angelo, Massimiliano Nitti, Nicola Mosca, et al.. (2023). Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence. Journal of Intelligent Manufacturing. 35(4). 1629–1648. 19 indexed citations
12.
Ruggieri, Sergio, Angelo Cardellicchio, Andrea Nettis, Vito Renò, & Giuseppina Uva. (2023). Using machine learning approaches to perform defect detection of existing bridges. Procedia Structural Integrity. 44. 2028–2035. 17 indexed citations
13.
Cardellicchio, Angelo, Sergio Ruggieri, Andrea Nettis, et al.. (2023). On the use of YOLOv5 for detecting common defects on existing RC bridges. 15–15. 12 indexed citations
14.
Cardellicchio, Angelo, Sergio Ruggieri, Valeria Leggieri, & Giuseppina Uva. (2021). View VULMA: Data Set for Training a Machine-Learning Tool for a Fast Vulnerability Analysis of Existing Buildings. Data. 7(1). 4–4. 24 indexed citations
15.
Ruggieri, Sergio, Angelo Cardellicchio, Valeria Leggieri, & Giuseppina Uva. (2021). Machine-learning based vulnerability analysis of existing buildings. Automation in Construction. 132. 103936–103936. 110 indexed citations
16.
Mali, Matilda, Nicola Ungaro, Angelo Cardellicchio, et al.. (2019). Data on long-term monitoring programs to assess environmental pressures on coastal area. SHILAP Revista de lepidopterología. 24. 103860–103860. 2 indexed citations
17.
Cardellicchio, Angelo, Angela Lombardi, & Cataldo Guaragnella. (2019). Iterative complex network approach for chemical gas sensor array characterisation. The Journal of Engineering. 2019(6). 4612–4616. 3 indexed citations
18.
Cilenti, Lucrezia, Vincenzo Di Lecce, Cataldo Guaragnella, et al.. (2018). Sea water distributed monitoring system: A proposal for architecture and data format. 55. 1–7. 2 indexed citations
19.
Cardellicchio, Angelo, et al.. (2016). An opportunistic sensor network approach to wide area environmental sensing. 25. 1–6. 1 indexed citations
20.
Cardellicchio, Angelo, Tiziana D’Orazio, Tiziano Politi, & Vito Renò. (2015). An Human Perceptive Model for Person Re-identification. 638–643. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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