A5079419964- Intellectual Property and Patents
- Innovation and Knowledge Management
- Innovation Policy and R&D
- Innovation Diffusion and Forecasting
- Complex Network Analysis Techniques
- Economic and Technological Systems Analysis
- scientometrics and bibliometrics research
- Big Data and Business Intelligence
- Research Data Management Practices
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Energy, Environment, Economic Growth
- Expert finding and Q&A systems
Institutes of Science and Development
2025
Chinese Academy of Sciences
2025
Tsinghua University
2022-2024
Beijing Institute of Technology
2019-2021
Detecting the first signs of change in one's technological surroundings is a critical factor success an enterprise, and technology opportunity analysis can be crucial process identifying those signs. However, common keyword-based methods do not fully express relationships between technologies. Subject-action-object (SAO) offers solution to this problem but, currently, these only consider that already exist. Yet, intuitively, opportunities are most likely reside potential connections. To test...
Identifying potentially disruptive technologies is challenging but important for innovators. Existing research based on tech mining approach pays much attention to technological change, less characterizing its process and effects. This suggested a novel perspective help understand identify technology that displace the mainstream (termed as "alternative disruption") by modelling it in which alternative compete against incumbent technology. Accordingly, we proposed systematic framework this...
Despite much research on the interdisciplinarity of publications across subject categories, few studies analyze technological knowledge flow among entities (i.e., patent assignees, inventors, and countries). In this article, we propose a framework to identify roles by measuring flow. Research are positioned two-dimensional maps based integration index, diffusion specialization which used measure degree different in order explore role flow, put forward four kinds entities: diverse provider,...
When considering a joint venture or merger, it is essential for firms to explore innovators with complementary technology compensate any internal limitations in R&D resources. In this article, we provide framework exploring the complementarity between enterprises quantitative manner based on text-mining patent data. A hierarchical latent Dirichlet allocation topic model identifies topics hidden documents along structure of those topics. The broad classes and their subclassifications across...
Technology opportunity analysis (TOA) is of great help to technology innovation and R&D strategy enterprises. Most previous studies TOA only focused on scientific research or development phases, seldom linking opportunities business applications. Using both patent trademark data, we the linkage areas discovered based firms' existing base. First, extracted common product keywords from two data sources construct document-keyword matrices. Then, matched patents trademarks with build relevancy...