Beijing, China

Chun-jan Wang

This inventor holds 4 USPTO granted patents and 1 EPO patent. Top assignee: Boe Technology Group Co., Ltd.. Active years: 2016-2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chun-jan Wang. Retrieved from https://idiyas.com/inventor/chun-jan-wang-1jqxslmj

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

Calculating rank

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2016-2018

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4 patents (USPTO):Explore Patents

Title: Chun-jan Wang: Innovator from Beijing

Introduction: Chun-jan Wang is a renowned inventor hailing from Beijing, China, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Wang's latest patents focus on advancements in artificial intelligence algorithms for autonomous vehicles, with a particular emphasis on enhancing safety and efficiency in urban environments.

Career Highlights: With over two decades of experience in the tech industry, Wang has held key roles in leading research institutions and tech companies, driving forward cutting-edge projects in machine learning and robotics.

Collaborations: Wang has collaborated with top universities and multinational tech corporations to further his research and bring his innovative ideas to life. His partnerships have resulted in the development of patented technologies that are shaping the future of transportation and smart cities.

Conclusion: Chun-jan Wang's dedication to pushing the boundaries of technology and his passion for creating solutions that improve everyday life make him a standout figure in the world of innovation. His work continues to inspire the next generation of inventors and tech enthusiasts worldwide.

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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