• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. W
  4. Wan…
  5. WANG FU-JUN
🔗 Permalink
Inventor profile of:

FU-JUN WANG

City:

Beijing

Country:

China

Published Applications:

7

Last publication date:

2021-04-01

Top Assignees for applications by FU-JUN WANG

The entities that hold a legal rights for patent applications filed by inventor WANG FU-JUN:

  • HON HAI PRECISION INDUSTRY CO., LTD. 7 New Taipei, Taiwan
  • Tsinghua University 7 Beijing, China

Recent patent applications by WANG FU-JUN

FU-JUN WANG from Beijing, CN has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2021-04-01
US20210094827A1
Chemistry; metallurgy

Carbon nanotube field emitter and preparation method thereof

#2 | 2021-01-21
US20210017967A1
Mechanical engineering

Field emission neutralizer

#3 | 2021-01-21
US20210017027A1
Chemistry; metallurgy

Carbon nanotube field emitter and preparation method thereof

#4 | 2020-10-20
US16661141
Electricity

Carbon nanotube field emitter and preparation method thereof

#5 | 2020-08-04
US16661152
Electricity

Carbon nanotube field emitter and preparation method thereof

#6 | 2020-07-21
US16661173
Electricity

Field emission neutralizer comprising a graphitized carbon nanotube structure

#7 | 2018-07-26
US20180210035A1
Physics

Battery testing apparatus

InventorID:

2252736 ⎘

  1. Home
  2. Inventor
  3. W
  4. Wan…
  5. WANG FU-JUN

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.