Standout Papers

Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms 2023 2026 202483
  1. Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms (2023)
    Muhammad Nasir Amin, Bawar Iftikhar et al. Structures

Immediate Impact

70 standout
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Citing Papers

Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials
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An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete
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20 intermediate papers

Works of Bawar Iftikhar being referenced

Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms
2023 Standout
Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete
2020
and 1 more

Author Peers

Author Last Decade Papers Cites
Bawar Iftikhar 480 310 28 35 22 567
Afnan Nafees 476 250 42 38 11 595
Ivana Miličević 459 384 18 30 23 528
Moustafa Houda 292 277 16 20 28 525
Stanley Muse Shitote 451 250 32 17 23 526
Mana Alyami 318 240 19 23 25 476
Farshad Dabbaghi 474 280 22 29 18 553
Anas Abdulalim Alabdullah 392 223 40 25 18 516
Chee Khoon Ng 373 285 20 22 27 519
Lambert Houben 485 284 52 48 33 572
Aso A. Abdalla 528 282 37 32 17 606

All Works

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2026