Eatontown, NJ, United States of America

Nan Wang

This inventor holds 1 USPTO granted patent. Top assignee: New Jersey Institute of Technology. Active years: 2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nan Wang. Retrieved from https://idiyas.com/inventor/nan-wang-a37pun89

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

Calculating rank

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: The Innovations of Nan Wang

Introduction

Nan Wang is an accomplished inventor based in Eatontown, NJ (US). He has made significant contributions to the field of data transfer technologies. His innovative approach has led to the development of a unique patent that enhances the efficiency of data transmission among network nodes.

Latest Patents

Nan Wang holds a patent for "Transferring data among nodes on a network." This patent discloses techniques for transferring data among nodes, including a downloader-initiated random linear network coding algorithm. The method allows a downloading node to be aware of the chunks of original data held by neighboring nodes. Consequently, the downloading node can request linear combinations of chunks that are linearly independent of any combinations already held.

Career Highlights

Nan Wang is affiliated with the New Jersey Institute of Technology, where he continues to advance his research and development efforts. His work focuses on improving data transfer methods, which are crucial in today's digital landscape.

Collaborations

One of his notable collaborators is Nirwan Ansari, who shares a commitment to innovation in network technologies.

Conclusion

Nan Wang's contributions to data transfer technologies exemplify the impact of innovative thinking in the field of networking. His patent reflects a significant advancement that can enhance data communication efficiency.

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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