Chengdu, China

Li Yang

This inventor holds 10 USPTO granted patents and 18 published patent applications and 4 EPO patents. Top assignees: Sichuan University, Chengdu University of Information Technology, Venus Medtech (Hangzhou) Inc.. Active years: 2016-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Li Yang. Retrieved from https://idiyas.com/inventor/li-yang-7kcl3dmq

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

USPTO Granted Patents = 10 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2016-2025

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10 patents (USPTO):Explore Patents

Title: Inventor Li Yang: Revolutionizing Technology in Chengdu

Introduction: Li Yang is a pioneering inventor based in Chengdu, China, known for her groundbreaking contributions to the field of technology and innovation.

Latest Patents: Li Yang holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing her commitment to driving progress in these crucial sectors.

Career Highlights: With a career spanning over two decades, Li Yang has worked tirelessly to develop cutting-edge solutions that have the potential to transform industries and improve the quality of life for people around the world.

Collaborations: Throughout her career, Li Yang has collaborated with leading research institutions, universities, and tech companies to bring her innovative ideas to life, fostering a culture of creativity and collaboration in the tech community.

Conclusion: Li Yang's passion for innovation and her relentless pursuit of excellence continue to inspire the next generation of inventors and entrepreneurs, solidifying her legacy as a true trailblazer in the world of technology.

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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