Chengkuo Lee

Biomedical Engineering · 2009–2022

A researcher in the Science corpus: 37 papers; trusts 88 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Chengkuo Lee trusts overall

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

  1. Zhong Lin Wang
  2. Shad Roundy
  3. Paul K. Wright
  4. Qiongfeng Shi
  5. Huicong Liu
  6. David P. Arnold
  7. F. Fan
  8. Haluk Kulah
  9. Sihong Wang
  10. Jun Chen

Who trusts Chengkuo Lee overall

  1. Huicong Liu
  2. Jianxiong Zhu
  3. Long Liu
  4. Lihua Tang
  5. Qiongfeng Shi
  6. Mohsen Safaei
  7. Wei Yang
  8. Feng Wen
  9. Minglu Zhu
  10. Xinge Guo

Papers from Chengkuo Lee's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. A study of low level vibrations as a power source for wireless sensor nodes (Computer Communications)
  3. High efficient harvesting of underwater ultrasonic wave energy by triboelectric nanogenerator
  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. User-interactive electronic skin for instantaneous pressure visualization. (Nature Materials)
  6. A highly-sensitive wave sensor based on liquid-solid interfacing triboelectric nanogenerator for smart marine equipment (Nano Energy)
  7. Theoretical systems of triboelectric nanogenerators
  8. Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications (Advancement of science)
  9. Transparent triboelectric nanogenerators and self-powered pressure sensors based on micropatterned plastic films. (Nano letters (Print))
  10. Self-powered intelligent buoy system by water wave energy for sustainable and autonomous wireless sensing and data transmission (Nano Energy)

Their papers