Standout Papers

Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modif... 2021 2026 2022 2024230
  1. Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression (2021)
    Ali Shehadeh, Odey Alshboul et al. Automation in Construction

Immediate Impact

16 standout
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2 intermediate papers

Works of Odey Alshboul being referenced

Breakthrough Curves Prediction of Selenite Adsorption on Chemically Modified Zeolite Using Boosted Decision Tree Algorithms for Water Treatment Applications
2022
Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression
2021 Standout

Author Peers

Author Last Decade Papers Cites
Odey Alshboul 341 386 165 36 999
Ali Shehadeh 388 439 173 45 1.1k
Lingguang Song 413 387 313 42 1.0k
Yu-Wei Wu 638 408 269 48 1.4k
N. Almeida 397 376 147 54 1.1k
Rui Jiang 243 385 216 30 948
Xianfei Yin 361 504 173 34 922
Chen Chen 177 447 118 82 1.2k
Yaser Gamil 596 654 290 75 1.2k
Minh-Tu Cao 487 273 124 33 942
Abdollah Ardeshir 416 271 294 60 1.2k

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2026