Jersey City, NJ, United States of America

Xiaochen Hu

This inventor holds 2 USPTO granted patents. Top assignees: Amazon Technologies, Inc., Max-Planck-Gesellschaft Zur Förderung Der Wissenschaften E. V. . Active years: 2020-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaochen Hu. Retrieved from https://idiyas.com/inventor/xiaochen-hu-6ee19zuk

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.3

ph-index = 2

Forward Citations = 94(Granted Patents)


Location History:

  • New York, NY (US) (2020)
  • Jersey City, NJ (US) (2021)

Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Inventor Xiaochen Hu: Revolutionizing Technology in Jersey City

Introduction: Xiaochen Hu is a visionary inventor based in Jersey City, NJ, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Xiaochen Hu holds several patents in the areas of artificial intelligence, renewable energy, and sustainable technologies, showcasing his commitment to creating a more efficient and eco-friendly future.

Career Highlights: With a background in engineering and a passion for problem-solving, Xiaochen Hu has led numerous successful projects that have pushed the boundaries of technological advancement. His innovative solutions have garnered recognition in the industry.

Collaborations: Xiaochen Hu has collaborated with leading tech companies, research institutions, and universities to further develop his inventions and bring them to market. His ability to work across disciplines has resulted in cutting-edge products that have made a significant impact.

Conclusion: Xiaochen Hu's dedication to innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future 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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