Ruiyuan Liu
Biomedical Engineering · 2017
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 39 citations into it
- Polymers and Plastics — 33 citations into it
- Electronic, Optical and Magnetic Materials — 14 citations into it
Whom Ruiyuan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ruiyuan Liu's perspective
Ordered by how strongly the researchers Ruiyuan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- A Vibration-Based Electromagnetic Energy Harvester Using Mechanical Frequency Up-Conversion Method (IEEE Sensors Journal)
- Green power: What is it and where can we find it?
- A universal self-charging system driven by random biomechanical energy for sustainable operation of mobile electronics (Nature Communications)
- Micro-cable structured textile for simultaneously harvesting solar and mechanical energy (Nature Energy)
- Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
- Triboelectric nanogenerators as new energy technology and self-powered sensors - principles, problems and perspectives. (Faraday discussions)
- Harvesting Low-Frequency (<5 Hz) Irregular Mechanical Energy: A Possible Killer Application of Triboelectric Nanogenerator. (ACS Nano)
- Standards and figure-of-merits for quantifying the performance of triboelectric nanogenerators (Nature Communications)
- Broadband Vibrational Energy Harvesting Based on a Triboelectric Nanogenerator
- Anchoring Hydrous RuO2 on Graphene Sheets for High‐Performance Electrochemical Capacitors
Their papers
- A spring-based resonance coupling for hugely enhancing the performance of triboelectric nanogenerators for harvesting low-frequency vibration energy (2017) — 185 citations
- Auxetic Foam‐Based Contact‐Mode Triboelectric Nanogenerator with Highly Sensitive Self‐Powered Strain Sensing Capabilities to Monitor Human Body Movement (2017) — 206 citations
- A Self‐Powered Dynamic Displacement Monitoring System Based on Triboelectric Accelerometer (2017) — 140 citations