Pleasanton, CA, United States of America

Junxu Li

This inventor holds 15 USPTO granted patents. Top assignees: Emc Corporation, Emc IP Holding Company LLC, Cisco Technology, Inc.. Active years: 2014-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Junxu Li. Retrieved from https://idiyas.com/inventor/junxu-li

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


% Patents Active = 100.0

Average Co-Inventor Count = 1.8

ph-index = 9

Forward Citations = 175(Granted Patents)


Company Filing History:


Years Active: 2014-2024

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15 patents (USPTO):Explore Patents

Title: The Innovative Journey of Junxu Li

Introduction: Junxu Li, a talented inventor based in Pleasanton, CA, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents: Junxu Li holds several patents in the areas of artificial intelligence, renewable energy, and biotechnology, showcasing his diverse range of expertise and creativity.

Career Highlights: With a background in engineering and a passion for problem-solving, Junxu Li has successfully developed cutting-edge solutions that have revolutionized various industries. His commitment to excellence and forward-thinking approach have earned him recognition as a leading innovator in the field.

Collaborations: Throughout his career, Junxu Li has collaborated with top research institutions, universities, and tech companies to bring his ideas to life. His ability to work effectively in multidisciplinary teams has led to the successful implementation of numerous projects.

Conclusion: Junxu Li's relentless pursuit of innovation and his dedication to pushing the boundaries of what is possible make him a true visionary in the world of technology. His impact on the industry is sure to be felt for years to come.

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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