Shu-Hao Chang

Dr. Shu-Hao Chang

Science and Technology Policy Research and Information Center, National Applied Research Laboratories
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2020 in Journal of Investigative Dermatology
Verified
Journal Article
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SHShi-Wei Huang
Shi-Wei Huang
SWSin-Ting Wang
Sin-Ting Wang
Shu-Hao ChangShu-Hao Chang
Shu-Hao Chang
KCKai-Cheng Chuang
Kai-Cheng Chuang
HWHsin-Yu Wang
Hsin-Yu Wang
Jeng-Jen ShiehJeng-Jen Shieh
Jeng-Jen Shieh

8 September 2021 in Science and Public Policy
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Journal Article
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Shu-Hao ChangShu-Hao Chang
Shu-Hao Chang
International technology transfer is a determinant of a country’s national revenue and economic growth. Technology exported through international technology transfer can be the factor that gives a country a competitive edge. Therefore, investigation of international technology transfer has become essential. With the role of universities in innovation changing, academic patents have increased significantly over the past 10 years. Thus, this study used academic patents involved in international technology transfer as a basis for analysis and attempted to identify technological hotspots through a technological structure network analysis. The results indicated that key technologies in academic patent–based international technology transfer networks were mainly concentrated on measurement, nanotechnology, medical technology, biotechnology, and electric digital data processing. An academic patent technological hotspot network model was established to serve as a reference for academic technology transfers as well as for governments in their promotion of emerging technologies.

21 June 2019 in Applied Sciences
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Shu-Hao ChangShu-Hao Chang
Shu-Hao Chang
In recent years, 5G photonic technology has gradually gained increased attention from scholars. However, studies on 5G photonic technology have mostly focused on technological discussions or market development research, but have failed to identify the relevant key technologies from a comprehensive perspective. In particular, 5G photonic technology is an interdisciplinary technology that could create considerable potential business opportunities in the future, therefore, identifying related key technologies is crucial. Accordingly, the patents of 5G photonic technologies were used as the basis for analysis in this study, and a patent technology network for such technologies was constructed using network analysis. The results showed that the key technologies of 5G photonic technology are mainly related to optics, nanostructures, semiconductors, and material analysis, indicating an interdisciplinary feature instead of focusing only on one specific technological field. Additionally, the relevant technologies that have seen active development in recent years are mainly related to optical elements and semiconductor devices. Finally, a patentee analysis demonstrated that information technology companies were the key players in the development of 5G photonic technologies, and the semiconductor industry will have a crucial role in the development of such technologies. In this study, a patent technology network model was constructed to explore the development trend of 5G photonic technologies, thereby providing a reference for the government to promote these emerging technologies.

22 April 2024 in Science and Public Policy
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Shu-Hao ChangShu-Hao Chang
Shu-Hao Chang
This study discusses the technology development direction of industry–academia collaboration patents derived from government-subsidized programs and uses technology network analysis to pinpoint the key technologies developed in government-subsidized programs that align with market needs. The main technologies that play a key role in the government-subsidized industry–academia collaboration technology network for recent years are revealed to be measurement and chemistry technologies. The technologies that bridge the gap between multiple fields within the field of medicine are found to be diagnosis, surgery, and identification technologies; these technologies require further attention and resources from the government and academia. Additionally, semiconductor technology is revealed to play an increasingly crucial role in the government-subsidized industry–academia collaboration network. The findings can serve as a reference for the government to allocate research resources and for enterprises to promote emerging technologies.

17 September 2020 in Sustainability
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Shu-Hao ChangShu-Hao Chang
Shu-Hao Chang
Chin Yuan FanChin Yuan Fan
Chin Yuan Fan
In recent years, development in the fields of big data and artificial intelligence has given rise to interest among scholars in neurocomputing-related applications. Neurocomputing has relatively widespread applications because it is a critical technology in numerous fields. However, most studies on neurocomputing have focused on improving related algorithms or application fields; they have failed to highlight the main technology hotspots and development trends from a comprehensive viewpoint. To fill the research gap, this study adopts a new viewpoint and employs technological fields as its main subject. Neurocomputing patents are subjected to network analysis to construct a neurocomputing technology hotspot. The results reveal that the neurocomputing technology hotspots are algorithms, methods or devices for reading or recognizing printed or written characters or patterns, and digital storage characterized by the use of particular electric or magnetic storage elements. Furthermore, the technology hotspots are discovered to not be clustered around particular fields but, rather, are multidisciplinary. The applications that combine neurocomputing with digital storage are currently undergoing the most extensive development. Finally, patentee analysis reveal that neurocomputing technology is mainly being developed by information technology corporations, thereby indicating the market development potential of neurocomputing technology. This study constructs a technology hotspot network model to elucidate the trend in development of neurocomputing technology, and the findings may serve as a reference for industries planning to promote emerging technologies.

12 November 2019 in Applied Sciences
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Shu-Hao ChangShu-Hao Chang
Shu-Hao Chang
With the development of 5G, 5G optical networks have gradually received increasing attention from scholars. However, most studies have focused on discussing the technical or market aspect. Furthermore, their findings have not provided a panorama of the technologies in the 5G domain, nor have they provided a detailed understanding of the key technologies and development trends. An optical network is an indispensable type of infrastructure for the development of 5G. Therefore, defining key technologies in this domain is particularly crucial. The present study used patents for 5G optical networks as the basis of its analysis and constructed a technology network using a network analysis method. Research results indicated that the key technologies provided by 5G optical networks include wireless communication network facilities and local resource management (H04W88 and H04W72), selection arrangements for multiplex systems (H04Q11), and arrangements enabling multiple uses of the transmission path (H04L5). The maturation of optical component technology has paved the way for multiplex communication system technology to flourish and made it one of the key technologies in the development of 5G. Additionally, an analysis of top patentees revealed that information technology companies are the main force in developing 5G optical network technologies. Thus, driven by the market, 5G optical communication has become the technical focus of the private sector. In this study, the researchers constructed a technology network model to explore the technology development trends, and the results may serve as a reference for the government in observing emerging technologies.