Beijing, China

Xin Hou

This inventor holds 8 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignees: Lingdong Technology (Beijing) Co. Ltd, Tusimple, Inc., Crsc Institute of Smart City Research & Design. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xin Hou. Retrieved from https://idiyas.com/inventor/xin-hou-28eb20tg

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

USPTO Granted Patents = 8 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.4

ph-index = 3

Forward Citations = 66(Granted Patents)


Company Filing History:


Years Active: 2019-2026

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8 patents (USPTO):Explore Patents

Title: Inventor Xin Hou - Revolutionizing Technology in Beijing

Introduction: Xin Hou is a pioneering inventor based in Beijing, China, known for her groundbreaking contributions to the field of technology and innovation.

Latest Patents: Xin Hou holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing her commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Xin Hou has worked with leading tech companies and research institutions in Beijing, playing a key role in developing cutting-edge solutions that have revolutionized various industries.

Collaborations: Xin Hou has collaborated with top engineers, scientists, and researchers both locally and internationally, fostering a culture of innovation and knowledge exchange to drive progress in the tech sector.

Conclusion: Xin Hou's relentless pursuit of innovation and her passion for creating transformative technologies have solidified her reputation as a visionary inventor at the forefront of technological advancement in Beijing, China.

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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