Papers
3
Total Citations
44
H-Index
2
About
Gefan Yin is a rising researcher at the forefront of energy harvesting and self-powered sensing technologies, with a particular focus on triboelectric nanogenerators (TENGs) and ferrofluid applications. Their work bridges fundamental materials science with practical engineering, aiming to create intelligent, autonomous systems for robotics and renewable energy. Yin’s most cited paper, “Recent developments in the application of ferrofluids with an emphasis on thermal performance and energy harvesting” (2023, 31 citations), provides a comprehensive review that has become a key reference for researchers exploring ferrofluid-based thermal management and energy conversion. Demonstrating innovation in device design, Yin developed a “Fountain-inspired triboelectric nanogenerator as rotary energy harvester and self-powered intelligent sensor” (2025, 12 citations), which cleverly mimics natural fluid dynamics to efficiently convert rotational motion into electrical energy while simultaneously serving as a sensor. Most recently, Yin introduced a “Single-Channel Tactile-Slip Triboelectric Nanogenerator for the Intelligent Performance Evaluation of Humanoid Robots” (2025), a novel system that uses a single sensing channel to assess both tactile and slip interactions, offering a streamlined approach to evaluating robotic dexterity and stability. With a growing citation record and a trajectory focused on integrating energy harvesting with intelligent sensing, Gefan Yin is establishing a reputation for creative, application-driven research that directly supports the advancement of soft robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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