Beijing, China

Xin Wen

This inventor holds 2 USPTO granted patents. Top assignee: China University of Petroleum (Beijing). Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xin Wen. Retrieved from https://idiyas.com/inventor/xin-wen-tmppsd7n

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


Average Co-Inventor Count = 4.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: The Innovations of Xin Wen in Vehicle Lidar Technology.

Introduction

Xin Wen is an accomplished inventor based in Beijing, China. She has made significant contributions to the field of vehicle lidar technology. Her innovative work has garnered attention in the industry, showcasing her expertise and dedication to advancing technology.

Latest Patents

Xin Wen holds a patent for a groundbreaking invention in vehicle lidar systems. This patent represents her commitment to enhancing the capabilities of autonomous vehicles. The technology aims to improve safety and efficiency in transportation.

Career Highlights

Throughout her career, Xin Wen has demonstrated exceptional skill and creativity. Her work in lidar technology has positioned her as a leading figure in the field. She continues to push the boundaries of innovation, contributing to the evolution of smart transportation solutions.

Collaborations

Xin Wen has collaborated with notable colleagues, including Zhenfei Lv and Rui Wang. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise. Together, they have worked on projects that aim to revolutionize vehicle technology.

Conclusion

Xin Wen's contributions to vehicle lidar technology highlight her role as a pioneering inventor. Her innovative spirit and collaborative efforts continue to shape the future of transportation. The impact of her work will be felt for years to come.

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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