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About

Qixuan Zeng is a pioneering researcher in the field of triboelectric nanogenerators (TENGs) and self-powered sensor systems, with a focus on human-machine interaction and bio-inspired iontronics. Their most cited work, "Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction" (2021, 141 citations), introduced a novel approach to intuitive robotic hand control, replacing traditional handles with gesture-based interfaces to enhance convenience and realism in human-machine interaction. Building on this, Zeng developed a "Flexible triboelectric 3D touch pad with unit subdivision structure" (2020, 105 citations), enabling precise XY positioning and pressure sensing for advanced touch interfaces. Most recently, in "Transistor-like triboiontronics with record-high charge density" (2024, 25 citations), they achieved a breakthrough by mimicking biological systems to create energy-efficient data transmission architectures, pushing beyond the limits of Moore’s law. This work demonstrates record-high charge densities for self-powered sensors and neurologic analogs, positioning Zeng at the forefront of next-generation electronics. Their contributions have significantly advanced wearable technology, smart interfaces, and sustainable energy harvesting, with over 270 total citations reflecting their growing impact.