Publications by authors named "Hsin-Ning Su"
Article Synopsis
- The study analyzes 130 open innovation research papers from the Web of Science database, focusing on 62 papers with keywords for structure visualization.
- It utilizes network theory and keyword co-occurrence to investigate open innovation research networks, creating contour maps for visual representation.
- The proposed quantitative methods highlight key components of open innovation research and offer a framework for evaluating research community structures, which can aid in resource allocation and performance evaluation in R&D.
Quantitative mapping of scientific research-The case of electrical conducting polymer nanocomposite.
Technol Forecast Soc Change
January 2011
Article Synopsis
- The study combines keyword analysis and social network analysis to visualize and quantify knowledge structures in scientific research.
- This involves creating both three-dimensional networks (like "Research focus parallelship" and "Keyword Co-occurrence Networks") and a two-dimensional knowledge map to represent information at different levels (macro, meso, micro).
- The analysis of 223 highly cited papers reveals that China and the US are central to this knowledge structure, with China leading, offering insights into emerging trends in scientific development and enabling better management of scientific research.
Quantitative mapping of patented technology - The case of electrical conducting polymer nanocomposite.
Technol Forecast Soc Change
March 2010
Article Synopsis
- The study investigates global technology trends in electrical conducting polymer nanocomposites by analyzing a network of patent citations.
- A total of 1421 patents from the USPTO database are used to create this citation network, employing social network analysis techniques.
- Key network metrics like Degree Centrality and Betweenness Centrality are introduced to uncover technology evolution patterns, along with a patent citation map showing relative distances of patents in the network.