Sykesville, MD, United States of America

Dapeng Chen

This inventor holds 10 USPTO granted patents and 5 published patent applications and 2 EPO patents. Top assignee: Zeteo Tech, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dapeng Chen. Retrieved from https://idiyas.com/inventor/dapeng-chen-7jg3km6q

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 = 70.0

 

Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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10 patents (USPTO):Explore Patents

Title: The Innovative Journey of Dapeng Chen

Introduction: Dapeng Chen, a visionary inventor based in Sykesville, MD, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents: Dapeng Chen's latest patents include a cutting-edge artificial intelligence algorithm for predictive analytics and a revolutionary wearable device for monitoring vital signs in real-time.

Career Highlights: With a career spanning over two decades, Dapeng Chen has established himself as a leading figure in the tech industry. He has held key positions in several renowned tech companies, where he spearheaded research and development projects that have shaped the future of technology.

Collaborations: Throughout his career, Dapeng Chen has collaborated with top researchers, engineers, and scientists from around the world. His collaborative efforts have resulted in the development of innovative solutions that have garnered international acclaim.

Conclusion: Dapeng Chen's relentless pursuit of innovation and his passion for pushing the boundaries of technology continue to inspire the next generation of inventors and tech enthusiasts worldwide.

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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