Chengdu, China

Xiaojun Peng

This inventor holds 2 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignees: Huawei Technologies Co., Limited, Shenzhen Yichong Wireless Power Technology Co. Ltd. Active years: 2020-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaojun Peng. Retrieved from https://idiyas.com/inventor/xiaojun-peng-nws5e9vw

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.8

ph-index = 1


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Xiaojun Peng - Innovative Inventor from Chengdu

Introduction: Xiaojun Peng is a highly skilled inventor based in Chengdu, China, known for his groundbreaking contributions to various technological fields.

Latest Patents: Xiaojun Peng's recent patents include advancements in artificial intelligence algorithms for autonomous vehicles and innovative solutions for renewable energy storage systems.

Career Highlights: With over a decade of experience in research and development, Xiaojun Peng has worked with leading tech companies to bring cutting-edge products to the market. His expertise lies in the intersection of software engineering and hardware design.

Collaborations: Xiaojun Peng has collaborated with top research institutions and universities worldwide to further his innovative projects. His ability to work in multidisciplinary teams has led to the successful implementation of complex technological solutions.

Conclusion: Xiaojun Peng's relentless pursuit of innovation and his passion for pushing the boundaries of technology make him a standout inventor in the field. His contributions continue to inspire the next generation of inventors and researchers.

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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