Standout Papers

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks 2017 2026 2020 2023 2.2k
  1. Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks (2017)
    Young‐Jin Cha, Wooram Choi et al. Computer-Aided Civil and Infrastructure Engineering
  2. Attention-based generative adversarial network with internal damage segmentation using thermography (2022)
    Rahmat Ali, Young‐Jin Cha Automation in Construction
  3. SDDNet: Real-Time Crack Segmentation (2019)
    Wooram Choi, Young‐Jin Cha IEEE Transactions on Industrial Electronics
  4. Deep learning-based structural health monitoring (2024)
    Young‐Jin Cha, Rahmat Ali et al. Automation in Construction
  5. Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types (2017)
    Young‐Jin Cha, Wooram Choi et al. Computer-Aided Civil and Infrastructure Engineering
  6. Efficient attention-based deep encoder and decoder for automatic crack segmentation (2021)
    Dong Hee Kang, Young‐Jin Cha Structural Health Monitoring
  7. DNoiseNet: Deep learning-based feedback active noise control in various noisy environments (2023)
    Young‐Jin Cha et al. Engineering Applications of Artificial Intelligence
  8. Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning (2020)
    Dong‐Ho Kang, Young‐Jin Cha et al. Automation in Construction
  9. Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage (2020)
    Young‐Jin Cha et al. Structural Health Monitoring
  10. Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo‐Tagging (2018)
    Dong‐Ho Kang, Young‐Jin Cha Computer-Aided Civil and Infrastructure Engineering
  11. Modal identification of simple structures with high-speed video using motion magnification (2015)
    Justin G. Chen, Neal Wadhwa et al. Journal of Sound and Vibration

Immediate Impact

64 standout
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Citing Papers

Age of Flexible Electronics: Emerging Trends in Soft Multifunctional Sensors
2024 Standout
Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
2024 Standout
1 intermediate paper

Works of Young‐Jin Cha being referenced

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
2017 Standout
Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types
2017 Standout

Author Peers

Author Last Decade Papers Cites
Young‐Jin Cha 5874 1855 414 951 55 7.3k
Oral Büyüköztürk 7286 1421 247 889 131 9.1k
Sami F. Masri 8374 1930 2169 566 239 10.3k
F. Necati Çatbaş 4338 622 210 718 136 4.9k
Maria Q. Feng 4807 684 289 1234 137 5.7k
James Brownjohn 7384 2018 588 729 215 8.3k
Hoon Sohn 7812 3942 604 638 341 11.8k
Billie F. Spencer 14663 3207 2830 692 315 17.2k
Xinzheng Lu 7275 340 293 289 302 9.0k
Yuequan Bao 3433 823 387 307 96 4.4k
Hyung‐Jo Jung 3528 1414 529 267 172 4.9k

All Works

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Rankless by CCL
2026