Beijing, China

Xiaojing Wang

This inventor holds 5 USPTO granted patents and 9 published patent applications and 1 EPO patent. Top assignees: Beijing Boe Optoelectronics Technology Co., Ltd., Boe Technology Group Co., Ltd., Toshiba Medical Systems Corporation. Active years: 2018-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaojing Wang. Retrieved from https://idiyas.com/inventor/xiaojing-wang-h3x760nq

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

USPTO Granted Patents = 5 

% Patents Active = 80.0

 

Average Co-Inventor Count = 5.4

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2018-2022

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5 patents (USPTO):Explore Patents

Title: Inventor Xiaojing Wang - Revolutionizing Technology in Beijing

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

Latest Patents: Xiaojing Wang 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, Xiaojing Wang has worked with top research institutions and leading tech companies to develop cutting-edge solutions that have redefined the industry standards.

Collaborations: Throughout her career, Xiaojing Wang has collaborated with renowned scientists, engineers, and inventors from around the world, fostering a culture of innovation and knowledge exchange.

Conclusion: Xiaojing Wang's relentless pursuit of innovation and her passion for pushing the boundaries of technology make her a true trailblazer in the field of inventions, inspiring the next generation of inventors to dream big and create a better future.

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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