| Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression A Shehadeh, O Alshboul, RE Al Mamlook, O Hamedat Automation in Construction 129, 103827, 2021 | 223 | 2021 |
| Production of geopolymer concrete using natural pozzolan: A parametric study RH Haddad, O Alshbuol Construction and Building Materials 114, 699-707, 2016 | 100 | 2016 |
| Extreme gradient boosting-based machine learning approach for green building cost prediction O Alshboul, A Shehadeh, G Almasabha, AS Almuflih Sustainability 14 (11), 6651, 2022 | 63 | 2022 |
| Selection of heavy machinery for earthwork activities: A multi-objective optimization approach using a genetic algorithm A Shehadeh, O Alshboul, O Tatari, MA Alzubaidi, AHES Salama Alexandria engineering journal 61 (10), 7555-7569, 2022 | 51 | 2022 |
| Risk assessment model for optimal gain–pain share ratio in target cost contract for construction projects A Shehadeh, O Alshboul, O Hamedat Journal of Construction Engineering and Management 148 (2), 04021197, 2022 | 34 | 2022 |
| Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: A management decision support model O Alshboul, A Shehadeh, M Al-Kasasbeh, RE Al Mamlook, N Halalsheh, ... Engineering, Construction and Architectural Management 29 (10), 4153-4176, 2022 | 32 | 2022 |
| Prediction liquidated damages via ensemble machine learning model: Towards sustainable highway construction projects O Alshboul, A Shehadeh, REA Mamlook, G Almasabha, AS Almuflih, ... Sustainability 14 (15), 9303, 2022 | 32 | 2022 |
| Forecasting liquidated damages via machine learning-based modified regression models for highway construction projects O Alshboul, MA Alzubaidi, REA Mamlook, G Almasabha, AS Almuflih, ... Sustainability 14 (10), 5835, 2022 | 32 | 2022 |
| Development of integrated asset management model for highway facilities based on risk evaluation Odey Alshboul, Ali Shehadeh International Journal of Construction Management, 2021 | 32* | 2021 |
| Machine learning-based model for predicting the shear strength of slender reinforced concrete beams without stirrups O Alshboul, G Almasabha, A Shehadeh, REA Mamlook, AS Almuflih, ... Buildings 12 (8), 1166, 2022 | 31 | 2022 |
| Machine learning algorithm for shear strength prediction of short links for steel buildings G Almasabha, O Alshboul, A Shehadeh, AS Almuflih Buildings 12 (6), 775, 2022 | 31 | 2022 |
| Governmental investment impacts on the construction sector considering the liquidity trap O Alshboul, A Shehadeh, O Hamedat Journal of management in engineering 38 (2), 04021099, 2022 | 31 | 2022 |
| Evaluating the impact of external support on green building construction cost: A hybrid mathematical and machine learning prediction approach O Alshboul, A Shehadeh, G Almasabha, REA Mamlook, AS Almuflih Buildings 12 (8), 1256, 2022 | 30 | 2022 |
| A Gaussian mixture model evaluation of construction companies’ business acceptance capabilities in performing construction and maintenance activities during COVID-19 pandemic A Shehadeh, O Alshboul, O Hamedat International Journal of Management Science and Engineering Management 17 (2 …, 2022 | 29 | 2022 |
| Multiobjective and multivariable optimization for earthmoving equipment O Alshboul, A Shehadeh, O Tatari, G Almasabha, E Saleh Journal of Facilities Management 22 (1), 21-48, 2024 | 28 | 2024 |
| Optimization of the structural performance of buried reinforced concrete pipelines in cohesionless soils O Alshboul, G Almasabha, A Shehadeh, O Al Hattamleh, AS Almuflih Materials 15 (12), 4051, 2022 | 24 | 2022 |
| Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups G Almasabha, KF Al-Shboul, A Shehadeh, O Alshboul Structures 52, 299-311, 2023 | 20 | 2023 |
| Breakthrough curves prediction of selenite adsorption on chemically modified zeolite using boosted decision tree algorithms for water treatment applications N Halalsheh, O Alshboul, A Shehadeh, RE Al Mamlook, A Al-Othman, ... Water 14 (16), 2519, 2022 | 19 | 2022 |
| A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms O Alshboul, G Almasabha, KF Al-Shboul, A Shehadeh Structures 55, 97-111, 2023 | 12 | 2023 |
| Structural performance of buried reinforced concrete pipelines under deep embankment soil G Almasabha, A Shehadeh, O Alshboul, O Al Hattamleh Construction Innovation, 2023 | 7 | 2023 |
