Papers
1
Total Citations
2
H-Index
1
About
Shan Jia is a pioneering researcher at the intersection of planetary exploration and geotechnical engineering, with a primary focus on modeling foot-soil interactions in low-gravity environments. Her most-cited work, "Data-driven and theory-driven modeling method of foot-soil bearing capacity in low gravity environment" (2025), introduces a novel hybrid approach that integrates empirical data with theoretical mechanics to predict how planetary regolith behaves under robotic or human footfalls on the Moon or Mars. This contribution is critical for designing stable landing gear, rovers, and future habitats, addressing a key challenge in extraterrestrial mobility. Though her citation count is nascent—with 2 citations for her flagship paper—the work has already garnered attention for its methodological rigor and practical relevance. Shan Jia’s research bridges the gap between computational modeling and real-world planetary surface operations, offering a scalable framework that could inform NASA’s Artemis program and other international missions. Her achievement lies in synthesizing data-driven machine learning with classical soil mechanics, a fusion that promises to enhance the safety and efficiency of extraterrestrial exploration. As her work gains traction, Shan Jia is poised to become a leading voice in planetary geotechnics.
Research Focus
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Top Papers
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