Beijing, China

Xiaolun Qian

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Beijing Choice Electronic Technology Co., Ltd.. Active years: 2023-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaolun Qian. Retrieved from https://idiyas.com/inventor/xiaolun-qian

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 3.3

ph-index = 2

Forward Citations = 20(Granted Patents)


Company Filing History:


Years Active: 2023-2024

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3 patents (USPTO):Explore Patents

Title: The Innovations of Xiaolun Qian

Introduction

Xiaolun Qian is a prominent inventor based in Beijing, China. He has made significant contributions to the field of medical technology, holding a total of three patents. His work focuses on developing innovative solutions that enhance healthcare delivery and patient outcomes.

Latest Patents

Among his latest patents are an oxygen concentrator and a multi-parameter detector for medical use. These inventions reflect his commitment to improving medical devices and making healthcare more accessible and efficient.

Career Highlights

Xiaolun Qian is currently employed at Beijing Choice Electronic Technology Co., Ltd. His role at the company allows him to leverage his expertise in electronics and medical technology to drive innovation and product development.

Collaborations

He has collaborated with notable colleagues, including Chuanlong Ma and Zesheng Xi. Their teamwork has contributed to the advancement of various projects within the company.

Conclusion

Xiaolun Qian's work exemplifies the spirit of innovation in the medical technology sector. His patents and collaborations highlight his dedication to improving healthcare solutions.

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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