Campbell, CA, United States of America

Yue Cui

This inventor holds 8 USPTO granted patents and 1 published patent application. Top assignee: Apple Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yue Cui. Retrieved from https://idiyas.com/inventor/yue-cui-xyyz1fh8

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

Calculating rank
USPTO Granted Patents = 8 

% Patents Active = 75.0

Average Co-Inventor Count = 8.2

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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8 patents (USPTO):Explore Patents

Title: The Innovative Journey of Yue Cui

Introduction: Yue Cui, a talented inventor based in Campbell, CA, has made significant contributions to the field of technology with his groundbreaking inventions and patents.

Latest Patents: Yue Cui 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, Yue Cui has a successful career marked by his ability to translate complex ideas into practical solutions. His innovative approach has led to the development of revolutionary products that have shaped the industry.

Collaborations: Yue Cui has collaborated with leading tech companies and research institutions to further his inventions and bring them to market. His partnerships have been instrumental in pushing the boundaries of innovation and driving progress in the tech sector.

Conclusion: Yue Cui's passion for innovation and his dedication to pushing the limits of technology have established him as a prominent figure in the world of inventions. His work continues to inspire and pave the way for future advancements in the field.

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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