Yusuf Engin Tetik

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Papers

3

Total Citations

64

H-Index

3

About

No biography available yet.

Research Focus

Computer science3 · 64 citations
Artificial intelligence3 · 64 citations
Engineering3 · 64 citations
Pipeline transport2 · 61 citations
Robot2 · 61 citations
Magnet2 · 58 citations
Leakage (economics)2 · 58 citations
Magnetic flux leakage2 · 58 citations
Computer vision1 · 55 citations
Artificial neural network1 · 55 citations
Algorithm1 · 55 citations
Magnetic field1 · 55 citations

Key Achievements

3
H-Index
3
Papers
64
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals
55 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Top Papers

  1. 1
    A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals
    55 citations · 2023
  2. 2
    Long-Range Wireless Communication for In-Line Inspection Robot: 2.4 km On-Site Test
    6 citations · 2023
  3. 3
    Defect Detection and Quantification from Magnetic Flux Leakage Signals Based on Deep Learning
    3 citations · 2022

Key Collaborators

KGKursad Gokce2 shared papersMOMahmut Omer Basturk2 shared papersMAMehmet Ali Çimen2 shared papersOROnur Recepoglu2 shared papersVYVeysel Yuksel2 shared papersİÜİlhami Ünal1 shared papersKGKursad Gokce1 shared papersHAHüseyin Ayhan Yavaşoğlu1 shared papersAKAhmet Koksoy1 shared papers
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