Sugar Land, TX, United States of America

Xiaoling Chen

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Stevens Institute of Technology. Active years: 2015-2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaoling Chen. Retrieved from https://idiyas.com/inventor/xiaoling-chen-qo77jk5t

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 = 50.0

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 47(Granted Patents)


Company Filing History:


Years Active: 2015-2016

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2 patents (USPTO):Explore Patents

Title: Innovations of Xiaoling Chen in Deception Detection Technology

Introduction

Xiaoling Chen is an accomplished inventor based in Sugar Land, TX (US). He has made significant contributions to the field of deception detection technology, holding 2 patents that showcase his innovative approach to analyzing human communications expressed in digital form.

Latest Patents

One of his latest patents is titled "Systems and methods for automatically detecting deception in human communications expressed in digital form." This invention involves an apparatus and method for determining whether text is deceptive. The system utilizes a computer programmed with software that analyzes text through various methods, including statistical analysis of psycho-linguistic cues, IP geo-location, gender analysis, and authorship analysis. The computer can compare the analyzed text against truth data and features a graphical user interface. It is designed to connect to the Internet, allowing for automatic text retrieval. The system can analyze various forms of text, including emails, website content, and tweets. In one embodiment, it is capable of detecting coded messages.

Another notable patent is "Psycho-linguistic statistical deception detection from text content." This invention focuses on analyzing a body of textual content to determine if it is deceptive. It identifies psycho-linguistic cues indicative of deception and statistically analyzes the text based on these cues. The method includes weighting the psycho-linguistic cues and performing various statistical analyses, such as cue matching analysis and Markov chain analysis. The psycho-linguistic cues are categorized into increasing and decreasing trend cues, which are analyzed for their presence within these categories.

Career Highlights

Xiaoling Chen is affiliated with the Stevens Institute of Technology, where he continues to advance his research and innovations in deception detection technology. His work has the potential to impact various fields, including cybersecurity, law enforcement, and communication analysis.

Collaborations

Xiaoling has collaborated with notable colleagues, including Koduvayur P Subbalakshmi and Rajarathnam Chandramouli, who contribute to his research endeavors.

Conclusion

Xiaoling Chen's innovative patents in deception detection technology reflect his commitment to advancing the understanding of human communication. His work at the Stevens Institute of Technology positions him as a leading figure in this important field.

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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