| Investigating particle-particle electrostatic effects on charged lunar dust transport via discrete element modeling H Wang, JR Phillips III, AR Dove, TA Elgohary Advances in Space Research 70 (10), 3231-3248, 2022 | 14 | 2022 |
| A Simple and Accurate Apollo‐Trained Neural Network Controller for Mars Atmospheric Entry H Wang, TA Elgohary International Journal of Aerospace Engineering 2020 (1), 3793740, 2020 | 7 | 2020 |
| Implementation of charged particle behavior in discrete element method (dem) simulations JR Phillips III, H Wang, A Hillegass, A Esparza, AR Dove, TA Elgohary Earth and Space 2021, 188-199, 2021 | 3 | 2021 |
| Conducting Spectra-Spatial Investigations on the Big Island of Hawaii as a Lunar Surface Analogue H Wang, K Arroyo-Flores, F Zhu ASCEND 2023, 4661, 2023 | 2 | 2023 |
| Neural network trained controller for atmospheric entry in Mars missions H Wang, D Martin, T Elgohary Advances in the Astronautical Sciences: AAS/AIAA Space Flight Mechanics …, 2019 | 2* | 2019 |
| Planetary Localization in GPS-Deprived Environments with Open-Source Software and Commercial-Off–the-Shelf Components K Kepa-Alama, B de Los Reyes, A Tennebaum, H Wang, F Zhu 2024 International Conference on Space Robotics (iSpaRo), 158-164, 2024 | | 2024 |
| Portable Bevameter Design for Geotechnical Characterization on Planetary Surfaces J Saito, H Wang, F Zhu 2024 International Conference on Space Robotics (iSpaRo), 172-177, 2024 | | 2024 |
| Incorporating Electrostatic Effects in DEM Modeling of Lunar Dust Dynamics A Dove, H Wang, J Phillips, T Eloghary The 2022 NASA Exploration Science Forum, 2022 | | 2022 |
| Neural Network Trained Controller For Atmospheric Entry in Mars Environment M Keosayian, H Wang, T Elgohary | | |
