Chengdu, China

Xiaohang Wen

This inventor holds 2 USPTO granted patents. Top assignee: Chengdu University of Information Technology. Active years: 2024-2025.

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

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


% Patents Active = 100.0

Average Co-Inventor Count = 18.8

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Xiaohang Wen

Introduction

Xiaohang Wen is a notable inventor based in Chengdu, China. He has made significant contributions to the field of meteorology, holding 2 patents that showcase his innovative approaches to weather analysis and forecasting.

Latest Patents

Wen's latest patents include an "Automatic recognition method for dry quasi-stationary front in Kunming, Yunnan, China." This method involves reading data and calculating a temperature lapse rate to identify frontal inversions. It effectively removes nighttime clear sky radiation inversions and connects filtered frontal nodes to acquire a quasi-stationary front. Another patent is the "Method for automatically identifying south troughs by improved Laplace." This method utilizes grid data of geopotential height fields to identify potential troughs through advanced calculations and image processing techniques.

Career Highlights

Xiaohang Wen is affiliated with the Chengdu University of Information Technology, where he applies his expertise in meteorology. His work has contributed to advancements in weather prediction and analysis, enhancing the understanding of atmospheric phenomena.

Collaborations

Wen collaborates with notable colleagues such as Wendong Hu and Yongkai Zhang, further enriching his research and innovation efforts.

Conclusion

Xiaohang Wen's contributions to meteorology through his patents reflect his dedication to advancing weather analysis techniques. His work continues to influence the field and demonstrates the importance of innovation in understanding complex atmospheric systems.

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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