Shenzhen, China

Jialin Li

This inventor holds 2 USPTO granted patents. Top assignee: Fuzhi Technology (Shenzhen) Co., Ltd.. Active years: 2021-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jialin Li. Retrieved from https://idiyas.com/inventor/jialin-li-gc17z2t3

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 = 1.6

ph-index = 2

Forward Citations = 44(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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2 patents (USPTO):Explore Patents

Title: Jialin Li: Innovator in Robotics

Introduction

Jialin Li is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of robotics, particularly in the development of mobile and pet robots. With a total of 2 patents to his name, Jialin is recognized for his innovative approach to technology.

Latest Patents

Jialin Li's latest patents include a mobile robot and a pet robot. These inventions showcase his commitment to enhancing automation and improving the interaction between humans and machines.

Career Highlights

Jialin currently works at Fuzhi Technology (Shenzhen) Co., Ltd., where he continues to push the boundaries of robotic technology. His work has garnered attention in the tech community, and he is regarded as a key player in the industry.

Collaborations

Some of Jialin's coworkers include Hong Zhu and Yingsheng Ma, who contribute to the innovative environment at Fuzhi Technology. Their collaboration fosters creativity and drives the development of cutting-edge robotic solutions.

Conclusion

Jialin Li is an influential inventor whose work in robotics is shaping the future of technology. His patents and collaborations reflect his dedication to innovation and excellence in the field.

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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