Standout Papers

Failure mode and effects analysis of RC members based on machine-learning-base... 2018 2026 2020 2023 638
  1. Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach (2020)
    Sujith Mangalathu, Seong‐Hoon Hwang et al. Engineering Structures
  2. Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques (2018)
    Sujith Mangalathu, Jong‐Su Jeon Engineering Structures
  3. Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls (2020)
    Sujith Mangalathu, Hansol Jang et al. Engineering Structures

Immediate Impact

56 standout
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Citing Papers

Digitalization for sustainable buildings: Technologies, applications, potential, and challenges
2024 Standout
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
2024 Standout
3 intermediate papers

Works of Jong‐Su Jeon being referenced

Explainable machine learning models for punching shear strength estimation of flat slabs without transverse reinforcement
2021
Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach
2020 Standout
and 2 more

Author Peers

Author Last Decade Papers Cites
Jong‐Su Jeon 3969 1310 208 275 112 4.6k
Sujith Mangalathu 4242 1246 194 388 102 5.2k
Khalid M. Mosalam 4772 1669 160 690 147 5.6k
De‐Cheng Feng 5029 2308 397 404 186 5.8k
Dagang Lü 1723 870 147 163 129 2.4k
You Dong 3327 792 239 312 184 4.0k
Ertuǧrul Taciroğlu 3074 551 81 407 215 3.8k
Rui Pinho 4536 1467 68 117 126 5.0k
Jamie E. Padgett 6597 1474 291 282 177 7.4k
M.Z. Naser 3137 1878 242 249 163 4.1k
Henry V. Burton 2224 473 88 108 98 2.7k

All Works

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Rankless by CCL
2026