Beijing, China

Haijun Yin

This inventor holds 18 USPTO granted patents and 6 published patent applications and 1 EPO patent. Top assignees: Boe Technology Group Co., Ltd., Chengdu Boe Optoelectronics Technology Co., Ltd., Boe Technology Group. Active years: 2012-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haijun Yin. Retrieved from https://idiyas.com/inventor/haijun-yin

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

USPTO Granted Patents = 18 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.8

ph-index = 3

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2012-2026

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18 patents (USPTO):Explore Patents

Title: Inventor Haijun Yin: Revolutionizing Technology in Beijing

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

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

Career Highlights: With a career spanning over two decades, Haijun Yin has worked with leading tech companies and research institutions, consistently pushing the boundaries of what is possible in the realm of technological advancements.

Collaborations: Throughout his career, Haijun Yin has collaborated with top engineers, scientists, and researchers both locally and internationally, fostering a culture of innovation and knowledge-sharing in the tech industry.

Conclusion: Haijun Yin's dedication to innovation and his relentless pursuit of technological advancement make him a standout figure in the world of inventors, with his work continuing to inspire future generations of innovators.

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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