Feng Wen

Biomedical Engineering · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Wen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zhong Lin Wang
  2. Qiongfeng Shi
  3. Minglu Zhu
  4. Zhongda Sun
  5. Tianyiyi He
  6. F. Fan
  7. Zixuan Zhang
  8. Hengyu Guo
  9. Chengkuo Lee
  10. Huicong Liu

Who trusts Feng Wen overall

  1. Long Liu
  2. Jianxiong Zhu
  3. Xinge Guo
  4. Zixuan Zhang
  5. Chengkuo Lee
  6. Minglu Zhu
  7. Xiaole Cao
  8. Qiongfeng Shi
  9. Tianyiyi He
  10. Zhongda Sun

Papers from Feng Wen's perspective

Ordered by how strongly the researchers Feng Wen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High efficient harvesting of underwater ultrasonic wave energy by triboelectric nanogenerator
  2. Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications (Advancement of science)
  3. Theoretical systems of triboelectric nanogenerators
  4. Rationally designed sea snake structure based triboelectric nanogenerators for effectively and efficiently harvesting ocean wave energy with minimized water screening effect (Nano Energy)
  5. Auxetic Foam‐Based Contact‐Mode Triboelectric Nanogenerator with Highly Sensitive Self‐Powered Strain Sensing Capabilities to Monitor Human Body Movement
  6. Monitoring of the central blood pressure waveform via a conformal ultrasonic device (Nature Biomedical Engineering)
  7. Fiber/Fabric‐Based Piezoelectric and Triboelectric Nanogenerators for Flexible/Stretchable and Wearable Electronics and Artificial Intelligence (Advances in Materials)
  8. Self-powered intelligent buoy system by water wave energy for sustainable and autonomous wireless sensing and data transmission (Nano Energy)
  9. A highly-sensitive wave sensor based on liquid-solid interfacing triboelectric nanogenerator for smart marine equipment (Nano Energy)
  10. Boosting Power‐Generating Performance of Triboelectric Nanogenerators via Artificial Control of Ferroelectric Polarization and Dielectric Properties

Their papers