Yang Tian Source Confirmed

OverviewAI-generated summary

Yang Tian's research encompasses a diverse range of scientific and engineering disciplines, as evidenced by recent publications spanning materials science, pharmaceutical development, and computational methods. His work has investigated the diffusion and electrochemical reduction of Li+ ions in liquid lithium metal batteries, contributing to advancements in energy storage technologies. In the realm of materials science, Tian has studied the cavitation erosion resistance of surface-modified aluminum alloys and the development of oleogels structured by cellulose nanofibers for potential applications in food science.

Further demonstrating the breadth of his research interests, Tian has also explored the experimental and numerical simulation of overburden and surface damage in shallow coal seam mining. His publications also include work on personalized medicine, specifically the semisolid extrusion 3D printing of propranolol hydrochloride gummy chewable tablets for pediatric use. In the field of artificial intelligence, his research has focused on gait recognition, developing methods like DyGait for high-performance analysis. Tian's scholarly output is substantial, with an h-index of 24, over 273 total publications, and more than 2,700 citations, designating him as a highly cited researcher.

Metrics

• h-index: 24
• Publications: 273
• Citations: 2,729