Shenzhen, China

Youfei Cai

This inventor holds 2 USPTO granted patents. Top assignee: Inmotion Technologies Co., Ltd.. Active years: 2022-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Youfei Cai. Retrieved from https://idiyas.com/inventor/youfei-cai

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 = 2.7

ph-index = 1

Forward Citations = 44(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Journey of Youfei Cai

Introduction

Youfei Cai is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of technology, particularly in the development of innovative products. With a total of two patents to his name, Cai has established himself as a key figure in the industry.

Latest Patents

One of Youfei Cai's latest patents is related to the design and functionality of scooters. This invention showcases his commitment to enhancing mobility solutions and reflects his innovative spirit.

Career Highlights

Cai is currently employed at Inmotion Technologies Co., Ltd., where he continues to push the boundaries of technology. His work at this company has allowed him to explore new ideas and bring them to fruition.

Collaborations

Throughout his career, Youfei Cai has collaborated with talented individuals such as Qing Li and Qingming Xiang. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Youfei Cai's contributions to the field of technology through his patents and collaborations highlight his role as an influential inventor. His work continues to inspire others in the industry, paving the way for future innovations.

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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