Shanghai, China

Jichang Feng

This inventor holds 7 USPTO granted patents and 10 published patent applications, plus 1 CIPO patent. Top assignees: Dow Global Technolgoies LLC, Rohm & Haas Electronic Materials LLC, Rohm and Haas Electronic Materials Korea Ltd.. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jichang Feng. Retrieved from https://idiyas.com/inventor/jichang-feng

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

USPTO Granted Patents = 7 

% Patents Active = 42.9

 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2017-2026

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7 patents (USPTO):Explore Patents

Title: The Innovative Journey of Jichang Feng

Introduction:

Jichang Feng, a pioneering inventor hailing from Shanghai, China, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents:

Feng's latest patents include cutting-edge advancements in artificial intelligence algorithms for autonomous vehicles and smart city infrastructure.

Career Highlights:

With a career spanning over two decades, Jichang Feng has established himself as a leading figure in the tech industry, holding multiple patents in areas such as machine learning, robotics, and renewable energy technologies.

Collaborations:

Throughout his career, Feng has collaborated with top research institutions and leading tech companies to further develop and implement his innovative ideas, showcasing his ability to work across interdisciplinary teams.

Conclusion:

In conclusion, Jichang Feng's relentless pursuit of innovation and his commitment to pushing the boundaries of technology have solidified his reputation as a visionary inventor in the ever-evolving landscape of the tech industry.

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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