Yu-Shan Chen
Orcid: 0000-0002-3727-1889
According to our database1,
Yu-Shan Chen
authored at least 17 papers
between 2009 and 2021.
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Bibliography
2021
A Metamaterial Absorber Based on Particle Swarm Optimization Suitable for Earth's Atmospheric Transparency Window.
IEEE Access, 2021
2020
2019
Re-examine the determinants of market value from the perspectives of patent analysis and patent litigation.
Scientometrics, 2019
2018
Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018
2015
Indoor Intelligent Mobile Robot Localization Using Fuzzy Compensation and Kalman Filter to Fuse the Data of Gyroscope and Magnetometer.
IEEE Trans. Ind. Electron., 2015
2014
Explore the new relationship between patents and market value: a panel smooth transition regression (PSTR) approach.
Scientometrics, 2014
2013
Patents and market value in the U.S. pharmaceutical industry: new evidence from panel threshold regression.
Scientometrics, 2013
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013
2012
The effects of related and unrelated technological diversification on innovation performance and corporate growth in the Taiwan's semiconductor industry.
Scientometrics, 2012
Using the entropy-based patent measure to explore the influences of related and unrelated technological diversification upon technological competences and firm performance.
Scientometrics, 2012
Proceedings of the 7th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2012
2011
2010
Exploring the nonlinear effects of patent citations, patent share and relative patent position on market value in the US pharmaceutical industry.
Technol. Anal. Strateg. Manag., 2010
The nonlinear nature of the relationships between the patent traits and corporate performance.
Scientometrics, 2010
Analyzing the nonlinear effects of firm size, profitability, and employee productivity on patent citations of the US pharmaceutical companies by using artificial neural network.
Scientometrics, 2010
2009
Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies.
Scientometrics, 2009