Beijing, China

Jiangyun Wang

This inventor holds 6 USPTO granted patents and 1 published patent application. Top assignee: Scripps Research Institute. Active years: 2010-2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jiangyun Wang. Retrieved from https://idiyas.com/inventor/jiangyun-wang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 6 

% Patents Active = 50.0

Average Co-Inventor Count = 2.7

ph-index = 3

Forward Citations = 14(Granted Patents)


Location History:

  • San Diego, CA (US) (2010 - 2012)
  • La Jolla, CA (US) (2010 - 2012)
  • Beijing, CN (2013 - 2015)

Company Filing History:


Years Active: 2010-2015

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6 patents (USPTO):Explore Patents

Title: Inventor Jiangyun Wang - Revolutionizing Technology in Beijing

Introduction: Jiangyun Wang is a visionary inventor based in Beijing, China, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Jiangyun Wang holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Jiangyun Wang has worked with leading tech companies in Beijing, spearheading research and development projects that have led to significant technological breakthroughs.

Collaborations: Throughout his career, Jiangyun Wang has collaborated with top researchers, engineers, and scientists both locally and internationally, fostering a culture of innovation and knowledge sharing.

Conclusion: Jiangyun Wang's relentless pursuit of innovation and his passion for creating technology that makes a difference have solidified his reputation as a pioneering inventor in Beijing and beyond.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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