| Non-invasive imaging of Young’s modulus and Poisson’s ratio in cancers in vivo MT Islam, S Tang, C Liverani, S Saha, E Tasciotti, R Righetti Scientific reports 10 (1), 7266, 2020 | 58 | 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 | 49 | 2018 |
| Prediction of soil-water characteristic curve for unbound material using Fredlund–Xing equation-based ANN approach S Saha, F Gu, X Luo, RL Lytton Journal of Materials in Civil Engineering 30 (5), 06018002, 2018 | 30 | 2018 |
| Development of a mechanistic-empirical model to predict equilibrium suction for subgrade soil S Saha, N Hariharan, F Gu, X Luo, DN Little, RL Lytton Journal of hydrology 575, 221-233, 2019 | 18 | 2019 |
| Development of 3-D finite element models for geo-jute reinforced flexible pavement MM Rahman, S Saha, ASA Hamdi, MJB Alam Civil Engineering Journal 5 (2), 437-446, 2019 | 14 | 2019 |
| Machine learning-based mix design tools to minimize carbon footprint and cost of UHPC. Part 1: Efficient data collection and modeling C Tavares, X Wang, S Saha, Z Grasley Cleaner Materials 4, 100082, 2022 | 13 | 2022 |
| Proposed enhancements to pavement ME design: improved consideration of the influence of subgrade and unbound layers on pavement performance RL Lytton, X Luo, S Saha, Y Chen, Y Deng, F Gu, M Ling NCHRP Web-Only Document, 2019 | 13 | 2019 |
| Prediction of the pre-erosion stage of faulting in jointed concrete pavement with axle load distribution Y Chen, S Saha, RL Lytton Transportation Geotechnics 23, 100343, 2020 | 12 | 2020 |
| Prediction of Soil-Water Characteristic Curve Using Artificial Neural Network Approach S Saha, F Gu, X Luo, RL Lytton PanAm Unsaturated Soils 2017, 124-134, 2017 | 8 | 2017 |
| Development of a modulus of subgrade reaction model to improve slab-base interface bond sensitivity S Saha, F Gu, X Luo, RL Lytton International Journal of Pavement Engineering 21 (14), 1794-1805, 2020 | 6 | 2020 |
| Parametric Study of Modified Subgrade Reaction Model Using Artificial Neural Network Approach S Saha, F Gu, X Luo, RL Lytton Eighth International Conference on Case Histories in Geotechnical Engineering, 2019 | 5 | 2019 |
| Development of an Artificial Neural Network-Based k-Value Prediction Model to Improve the Sensitivity of Base Layer on Rigid Pavement Performance S Saha, F Gu, X Luo, RL Lytton Transportation Research Record 2677 (5), 1290-1308, 2023 | 2 | 2023 |
| A simplified suction-based approach to determine potential vertical movement of natural subgrade soil S Saha, N Hariharan, RL Lytton, DN Little Géotechnique 73 (12), 1031-1042, 2022 | 1 | 2022 |
| Develop Rapid Quality Control and Assurance Technologies for Pavements: Phase I B Crockford, F Gu, S Im, A Joshaghani, W Liu, X Luo, B Lytton, S Sebesta, ... Texas A&M Transportation Institute, 2021 | 1 | 2021 |
| Characterization of Unbound and Stabilized Materials and Improved Consideration of Their Effects on Pavement Performance S Saha | 1 | 2019 |
| Mechanistic characterization of rubberized asphalt mixture and design using full scale tire-pavement finite element modeling S Saha Clemson University, 2013 | 1 | 2013 |
| Impact of remolded soil fabric on the volumetric deformation behavior of clayey soils S Saha, N Hariharan, H Sahin, RL Lytton, DN Little Transportation Geotechnics 44, 101158, 2024 | | 2024 |
| Qualification and Testing of NDT and Mechanics-Based Approaches for Evaluating Flexible Base Construction R Lytton, A Devadas, Y Deng, F Gu, A Joshaghani, X Luo, S Saha Texas A&M Transportation Institute, 2021 | | 2021 |
| Test Procedure for Mechanics-Based Assessment of Flexible Base Quality R Lytton, A Devadas, S Saha, Y Deng, X Luo Texas A&M Transportation Institute, 2021 | | 2021 |
| Improved Sensitivity of Base Layer on the Performance of Rigid Pavement S Saha, F Gu, X Luo, RL Lytton arXiv preprint arXiv:2101.09167, 2021 | | 2021 |
Robert L. LyttonTexas A&M UniversityVerified email at civil.tamu.edu
