Guangzhou, China

Yingjun Wang


Average Co-Inventor Count = 3.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Guangzhou, CN (2017 - 2022)
  • Guangdong, CN (2022)

Company Filing History:


Years Active: 2017-2025

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6 patents (USPTO):Explore Patents

Title: Innovations of Yingjun Wang

Introduction

Yingjun Wang is a notable inventor based in Guangzhou, China. He has made significant contributions to the field of technology, particularly in the areas of topology optimization and medical materials. With a total of 6 patents, his work reflects a commitment to advancing innovative solutions.

Latest Patents

One of his latest patents is a method and system for automatically constructing an editable model of isogeometric topology optimization results. This invention addresses the challenges of three-dimensional isogeometric topology optimization by enabling quick and efficient post-processing. The method simplifies the construction of an isogeometric topology optimization model by extracting spline surfaces and performing lofting on top contours.

Another significant patent is a method for preparing an anti-bacterial surface on medical material surfaces. This method involves a series of chemical processes that create a long-lasting anti-bacterial surface. It effectively prevents the interference between anti-adhesion and bactericidal properties, ensuring good long-acting anti-bacterial performance.

Career Highlights

Yingjun Wang has worked at the South China University of Technology, where he has contributed to various research projects and innovations. His academic background and professional experience have played a crucial role in his development as an inventor.

Collaborations

Some of his notable coworkers include Li Ren and Lin Wang. Their collaboration has likely contributed to the success of his innovative projects.

Conclusion

Yingjun Wang's contributions to technology through his patents demonstrate his innovative spirit and dedication to solving complex problems. His work in topology optimization and medical materials continues to impact the field positively.

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