Standout Papers

Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures 2023 2026 2024156
  1. Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures (2023)
    Farzin Kazemi, Neda Asgarkhani et al. Soil Dynamics and Earthquake Engineering
  2. Machine learning-based seismic response and performance assessment of reinforced concrete buildings (2023)
    Farzin Kazemi, Neda Asgarkhani et al. Archives of Civil and Mechanical Engineering
  3. Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete (2024)
    Torkan Shafighfard, Farzin Kazemi et al. Engineering Applications of Artificial Intelligence
  4. Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods (2023)
    Neda Asgarkhani, Farzin Kazemi et al. Engineering Applications of Artificial Intelligence
  5. Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams (2024)
    Torkan Shafighfard, Farzin Kazemi et al. Computer-Aided Civil and Infrastructure Engineering
  6. Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction (2023)
    Neda Asgarkhani, Farzin Kazemi et al. Computers & Structures
  7. Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls (2024)
    Farzin Kazemi, Neda Asgarkhani et al. Expert Systems with Applications
  8. Data-Driven Modeling of Mechanical Properties of Fiber-Reinforced Concrete: A Critical Review (2024)
    Farzin Kazemi, Torkan Shafighfard et al. Archives of Computational Methods in Engineering
  9. Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers (2024)
    Farzin Kazemi, Neda Asgarkhani et al. Archives of Computational Methods in Engineering
  10. Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes (2025)
    Aybike Özyüksel Çiftçioğlu, Farzin Kazemi et al. Applied Materials Today
  11. RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials (2025)
    Farzin Kazemi, Aybike Özyüksel Çiftçioğlu et al. Computers & Structures

Immediate Impact

26 standout
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Citing Papers

Experimental and numerical analysis on shear performance of single embedded nut bolted shear connectors in prefabricated steel-UHPC composite structures under cyclic loading
2025 Standout
Comparative analysis of sloshing effects on elevated water tanks’ dynamic response using ANN and MARS
2025 Standout
4 intermediate papers

Works of Farzin Kazemi being referenced

Machine learning-based seismic response and performance assessment of reinforced concrete buildings
2023 Standout
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
2023 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
Farzin Kazemi 1201 327 79 109 41 1.5k
Xiong Chen 733 233 79 111 59 1.3k
Seong‐Hoon Hwang 1027 332 33 71 26 1.5k
Byung Kwan Oh 1169 235 75 135 71 1.6k
Dookie Kim 1250 278 90 136 116 1.6k
Tae‐Hyung Lee 905 228 85 57 68 1.2k
Thierry A. Mara 454 232 51 155 44 1.4k
Christian Málaga‐Chuquitaype 1355 471 101 148 72 1.5k
Hadi Salehi 948 323 55 134 22 1.4k
Yazhou Xie 1054 222 45 40 60 1.2k
Mohammad AlHamaydeh 1347 749 71 138 79 1.5k

All Works

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Rankless by CCL
2026