Standout Papers

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis 2023 2026 2024108
  1. Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis (2023)
    Celal Çakıroğlu, Sercan Demir et al. Expert Systems with Applications

Immediate Impact

17 standout
Sub-graph 1 of 7

Citing Papers

Seismic behavior of a novel liftable connection for modular steel buildings: Experimental and numerical studies
2024 Standout
Elaborating the 3D microstructural characteristics and strength softening mechanical mechanism of fiber-reinforced recycled aggregate concrete
2024 Standout
2 intermediate papers

Works of Celal Çakıroğlu being referenced

Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
2023
Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns
2022

Author Peers

Author Last Decade Papers Cites
Celal Çakıroğlu 422 275 52 72 32 618
M. Abbas 376 235 29 48 25 611
Lei Wang 335 216 60 145 33 707
Rahul Biswas 421 159 24 36 28 551
Bo Liu 202 162 100 71 36 556
Naci Çağlar 497 273 27 54 37 702
Yuhang Wang 433 223 50 70 22 688
Chengjia Han 498 155 28 129 49 671
Danial Rezazadeh Eidgahee 425 226 38 43 20 524
Saeed Babanajad 563 215 73 100 18 660
Paweł Kamiński 295 114 70 88 35 535

All Works

Loading papers...

Rankless by CCL
2026