Chengdu, China

Yixue Deng


Average Co-Inventor Count = 17.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yixue Deng: Innovator in Meteorological Technology

Introduction

Yixue Deng is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of meteorology through his innovative patent. His work focuses on the automatic recognition of weather patterns, which is crucial for understanding climatic conditions.

Latest Patents

Yixue Deng holds a patent for an "Automatic recognition method for dry quasi-stationary front in Kunming, Yunnan, China." This method involves several steps, including reading data and calculating the temperature lapse rate between various layers from the ground surface to 650 hPa. The process also includes acquiring a maximum inversion trend value and initially selecting an inversion distribution based on this value. The method effectively removes nighttime clear sky radiation inversions, retains only frontal inversions, and binarizes the data. It further identifies boundaries between inversion and non-inversion, removes abnormal candidate frontal points, and acquires frontal nodes. Finally, it applies one-dimensional Gaussian filtering to the longitude data of the frontal nodes, connecting them to establish a quasi-stationary front in Kunming.

Career Highlights

Yixue Deng is affiliated with the Chengdu University of Information Technology, where he continues to advance his research in meteorological technologies. His innovative approach has garnered attention in the academic community and beyond.

Collaborations

Yixue Deng has collaborated with notable colleagues, including Wendong Hu and Yongkai Zhang. Their combined expertise contributes to the advancement of research in meteorology and related fields.

Conclusion

Yixue Deng's contributions to meteorology through his innovative patent demonstrate his commitment to advancing scientific understanding of weather patterns. His work is essential for improving weather prediction and analysis.

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