Shanghai, China

Xiaobei Hu

This inventor holds 5 USPTO granted patents and 4 published patent applications, plus 3 CIPO patents and 3 EPO patents. Top assignees: Chinese Academy of Sciences, Zhejiang University. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaobei Hu. Retrieved from https://idiyas.com/inventor/xiaobei-hu

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

Calculating rank
USPTO Granted Patents = 5 

% Patents Active = 100.0

 

 

Average Co-Inventor Count = 11.1

ph-index = 1

Forward Citations = 6(Granted Patents)


Location History:

  • Zhejiang, CN (2018)
  • Shanghai, CN (2020 - 2023)

Company Filing History:


Years Active: 2018-2026

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5 patents (USPTO):Explore Patents

Title: Xiaobei Hu - Pioneering Inventor from Shanghai

Introduction: Xiaobei Hu is a distinguished inventor hailing from Shanghai, China, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Xiaobei Hu holds several patents in the areas of artificial intelligence, robotics, and renewable energy, showcasing his versatility and forward-thinking approach to invention.

Career Highlights: With a career spanning over two decades, Xiaobei Hu has worked with leading tech companies in Shanghai, driving innovation and pushing the boundaries of what is possible in the technological landscape.

Collaborations: Xiaobei Hu has collaborated with top research institutions and universities in China, fostering a culture of innovation and knowledge-sharing to propel the industry forward.

Conclusion: Xiaobei Hu's passion for innovation and his relentless pursuit of excellence have solidified his position as a trailblazer in the world of technology, inspiring the next generation of inventors to dream big and think outside the box.

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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