Beijing, China

Da Qu

This inventor holds 7 USPTO granted patents and 4 published patent applications. Top assignees: Beijing Baidu Netcom Science Technology Co., Ltd, Baidu Online Network Technology (Beijing) Co., Ltd., Beijing Baidu Netcom Science and Technology Co., Ltd.. Active years: 2021-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Da Qu. Retrieved from https://idiyas.com/inventor/da-qu

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

USPTO Granted Patents = 7 

% Patents Active = 100.0

Average Co-Inventor Count = 1.3

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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7 patents (USPTO):Explore Patents

Title: Inventor Da Qu - Revolutionizing Technology in Beijing

Introduction: Da Qu is a visionary inventor based in Beijing, China, known for his groundbreaking contributions to the field of technology.

Latest Patents: Da Qu holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing his innovative mindset and forward-thinking approach.

Career Highlights: With a career spanning over two decades, Da Qu has worked with leading tech companies in Beijing, spearheading research and development projects that have led to significant advancements in various industries.

Collaborations: Da Qu has collaborated with top research institutions and universities in Beijing, fostering a culture of innovation and knowledge-sharing to drive progress in the technological landscape.

Conclusion: Da Qu's relentless pursuit of innovation and his passion for pushing the boundaries of technology have solidified his position as a prominent inventor in Beijing, inspiring the next generation of innovators to dream big and create a better future through their inventions.

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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