Beijing, China

Xiaojun Wang

This inventor holds 12 USPTO granted patents and 7 published patent applications and 2 EPO patents. Top assignees: Boe Technology Group Co., Ltd., Hefei Boe Optoelectronics Technology Co., Ltd., Beijing Jiaotong University. Active years: 2013-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaojun Wang. Retrieved from https://idiyas.com/inventor/xiaojun-wang-jb4he55z

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

USPTO Granted Patents = 12 

% Patents Active = 75.0

 

Average Co-Inventor Count = 5.7

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2013-2024

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12 patents (USPTO):Explore Patents

Title: Xiaojun Wang - Innovative Inventor from Beijing, China

Introduction: Xiaojun Wang is a pioneering inventor based in Beijing, China, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Xiaojun Wang holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing his continuous dedication to pushing the boundaries of technological advancement.

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

Collaborations: Xiaojun Wang has collaborated with top researchers, engineers, and scientists from around the world, fostering a culture of innovation and knowledge exchange that has led to the creation of impactful inventions.

Conclusion: Xiaojun Wang's relentless pursuit of innovation and his passion for creating solutions that address complex challenges make him a standout figure in the world of technology and a source of inspiration for aspiring inventors globally.

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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