Beijing, China

Liou Chen

This inventor holds 1 USPTO granted patent. Top assignee: Baidu Online Network Technology (Beijing) Co., Ltd.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Liou Chen. Retrieved from https://idiyas.com/inventor/liou-chen

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Inventor Liou Chen - Revolutionizing Technology in Beijing

Introduction: Liou Chen is a pioneering inventor based in Beijing, China, known for her groundbreaking contributions to the field of technology.

Latest Patents: Liou Chen holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing her innovative mindset and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Liou Chen has worked with top research institutions and leading tech companies to develop cutting-edge solutions that have redefined the industry standards. Her passion for innovation and problem-solving has led to the creation of several revolutionary products.

Collaborations: Liou Chen has collaborated with renowned scientists, engineers, and inventors from around the world, fostering a culture of creativity and excellence. Her ability to work in diverse teams and leverage collective expertise has resulted in the successful implementation of numerous projects.

Conclusion: Liou Chen's dedication to pushing the boundaries of technology and her relentless pursuit of innovation continue to inspire the next generation of inventors. Her impact on the tech industry in Beijing and beyond is truly remarkable.

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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