San Jose, CA, United States of America

Junjie Feng

This inventor holds 4 USPTO granted patents and 6 published patent applications. Top assignee: Monolithic Power Systems, Inc.. Active years: 2023-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Junjie Feng. Retrieved from https://idiyas.com/inventor/junjie-feng-mskygco0

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

Calculating rank
USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 4.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • San Jose, CA (US) (2023)
  • Campbell, CA (US) (2023 - 2024)

Company Filing History:


Years Active: 2023-2024

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4 patents (USPTO):Explore Patents

Title: The Innovative Journey of Junjie Feng

Introduction: Junjie Feng, a talented inventor based in San Jose, CA, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents: Junjie Feng holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a background in computer science and engineering, Junjie Feng has worked for leading tech companies in Silicon Valley, where he honed his skills and developed a passion for creating innovative solutions.

Collaborations: Throughout his career, Junjie Feng has collaborated with top researchers and engineers in the industry, fostering a culture of creativity and pushing the boundaries of what is possible in the tech world.

Conclusion: Junjie Feng's relentless pursuit of innovation and his commitment to pushing the limits of technology make him a standout figure in the world of inventors. His work continues to inspire and shape the future of technological advancements.

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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