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

Shaoyan Wang

City:

Beijing

Country:

China

Published Applications:

6

Last publication date:

2025-10-02

Top Assignees for applications by Shaoyan Wang

The entities that hold a legal rights for patent applications filed by inventor Wang Shaoyan:

  • Beijing Baidu Netcom Science And Technology Co., Ltd. 4 Beijing, China

Recent patent applications by Wang Shaoyan

Shaoyan Wang from Beijing, CN has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-10-02
US20250310240A1
Electricity

Communication Method, Gateway, and Management Method and Apparatus in Hybrid Cloud Environment

#2 | 2021-05-27
US20210160216A1
Electricity

Anti-cracking method and system for a cloud host, as well as terminal device

#3 | 2020-09-17
US20200296022A1
Electricity

Method and apparatus for detecting traffic

#4 | 2020-09-03
US20200280580A1
Electricity

Method and apparatus for processing data in cleaning device

#5 | 2020-08-27
US20200274897A1
Electricity

METHOD AND APPARATUS FOR PROCESSING DATA

#6 | 2019-06-13
US20190182214A1
Electricity

Anti-cracking method and system for a cloud host, as well as terminal device

InventorID:

2531387 ⎘

  1. Home
  2. Inventor
  3. W
  4. Wan…
  5. Wang Shaoyan

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.