Hongshu Chen

  • Citations Per Year
Learn More
Technology progress brings the very rapid growth of patent publications, which increases the difficulty of domain experts to measure the development of various topics, handle linguistic terms used in evaluation and understand massive technological content. To overcome the limitations of keywordranking type of text mining result in existing research, and at(More)
Technology intelligence indicates the concept and applications that transform data hidden in patents or scientific literatures into technical insight for technology strategy-making support. The existing frameworks and applications of technology intelligence mainly focus on obtaining text-based knowledge with text mining components. However, what is the(More)
Chemometrics is increasingly being perceived as a maturing science. While this perception seems to be true with regards to the traditional methods and applications of chemometrics, this article argues that advances in instrumentation, computation, and statistical theory may combine to drive a resurgence in chemometrics research. Previous surges in(More)
Technology roadmapping is considered as a powerful instrument for technology assessment and forecasting, and the composing model for technology roadmapping is also a hot topic in the field of technology visualization. This paper tries to introduce a bibliometric method involving with terms frequency analysis and association analysis to construct the objects(More)
Epithelial-mesenchymal transition (EMT) refers to the transition of epithelial cells into mesenchymal cells. Emerging evidence suggests that EMT is a key point in renal interstitial fibrosis (RIF). Traditional Chinese Medicine Shenqiwan (SQW) is widely used in clinical treatment of chronic kidney disease, but the underlying mechanism remains unclear. The(More)
In laboratories and industry, process information exists in a variety of ways. It may come from the specification of instruments, process operation conditions, expert knowledge etc. Such information is valuable for improving the quality of models, especially when data sets are high dimensional and with heterogeneous distributions and measurement noise.(More)
  • 1