| Estimation of resilient modulus of unbound aggregates using performance-related base course properties F Gu, H Sahin, X Luo, R Luo, RL Lytton Journal of Materials in Civil Engineering 27 (6), 04014188, 2015 | 111 | 2015 |
| Characterization and prediction of permanent deformation properties of unbound granular materials for pavement ME design F Gu, Y Zhang, X Luo, H Sahin, RL Lytton Construction and Building Materials 155, 584-592, 2017 | 78 | 2017 |
| Time-temperature-aging-depth shift functions for dynamic modulus master curves of asphalt mixtures M Ling, X Luo, F Gu, RL Lytton Construction and Building Materials 157, 943-951, 2017 | 69 | 2017 |
| Numerical modeling of geogrid-reinforced flexible pavement and corresponding validation using large-scale tank test F Gu, X Luo, R Luo, RL Lytton, EY Hajj, RV Siddharthan Construction and Building Materials 122, 214-230, 2016 | 67 | 2016 |
| Crack initiation in asphalt mixtures under external compressive loads Y Zhang, X Luo, R Luo, RL Lytton Construction and Building Materials 72, 94-103, 2014 | 65 | 2014 |
| Characterization of fatigue damage in asphalt mixtures using pseudostrain energy X Luo, R Luo, R L. Lytton Journal of Materials in Civil Engineering 25 (2), 208-218, 2013 | 64 | 2013 |
| Prediction of field aging gradient in asphalt pavements X Luo, F Gu, RL Lytton Transportation Research Record 2507 (1), 19-28, 2015 | 57 | 2015 |
| Numerical Modeling and Artificial Neural Network for Predicting J-Integral of Top-Down Cracking in Asphalt Pavement M Ling, X Luo, S Hu, F Gu, RL Lytton Transportation Research Record 2631 (1), 83-95, 2017 | 56 | 2017 |
| Modified Paris's law to predict entire crack growth in asphalt mixtures X Luo, R Luo, RL Lytton Transportation research record 2373 (1), 54-62, 2013 | 49 | 2013 |
| Mechanical evaluation of aggregate gradation to characterize load carrying capacity and rutting resistance of asphalt mixtures Y Zhang, X Luo, I Onifade, X Huang, RL Lytton, B Birgisson Construction and Building Materials 205, 499-510, 2019 | 46 | 2019 |
| Energy-based mechanistic approach to characterize crack growth of asphalt mixtures X Luo, R Luo, RL Lytton Journal of Materials in Civil Engineering 25 (9), 1198-1208, 2013 | 44 | 2013 |
| Improved methodology to evaluate fracture properties of warm-mix asphalt using overlay test F Gu, Y Zhang, X Luo, R Luo, RL Lytton Transportation research record 2506 (1), 8-18, 2015 | 43 | 2015 |
| Using overlay test to evaluate fracture properties of field-aged asphalt concrete F Gu, X Luo, Y Zhang, RL Lytton Construction and Building Materials 101, 1059-1068, 2015 | 42 | 2015 |
| Energy-based mechanistic approach for damage characterization of pre-flawed visco-elasto-plastic materials X Luo, R Luo, RL Lytton Mechanics of Materials 70, 18-32, 2014 | 41 | 2014 |
| A calibrated mechanics-based model for top-down cracking of asphalt pavements M Ling, X Luo, Y Chen, S Hu, RL Lytton Construction and Building Materials 208, 102-112, 2019 | 39 | 2019 |
| Mechanistic-empirical models for better consideration of subgrade and unbound layers influence on pavement performance X Luo, F Gu, Y Zhang, RL Lytton, D Zollinger Transportation Geotechnics 13, 52-68, 2017 | 39 | 2017 |
| Implementation of pseudo J-integral based Paris’ law for fatigue cracking in asphalt mixtures and pavements X Luo, Y Zhang, RL Lytton Materials and Structures 49, 3713-3732, 2016 | 39 | 2016 |
| Improving mechanics behavior of hot mix asphalt using graphene-oxide AM Adnan, X Luo, C Lü, J Wang, Z Huang Construction and Building Materials 254, 119261, 2020 | 37 | 2020 |
| Kinetics of healing of asphalt mixtures X Luo, B Birgisson, RL Lytton Journal of Cleaner Production 252, 119790, 2020 | 34 | 2020 |
| Use of an artificial neural network approach for the prediction of resilient modulus for unbound granular material S Saha, F Gu, X Luo, RL Lytton Transportation Research Record 2672 (52), 23-33, 2018 | 34 | 2018 |
