Open Access
Issue |
MATEC Web Conf.
Volume 208, 2018
2018 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 6 | |
Section | Electronics and Communication Engineering | |
DOI | https://doi.org/10.1051/matecconf/201820802002 | |
Published online | 26 September 2018 |
- M. Halaweh, “Emerging technology: What is it”, Journal of technology management & innovation, vol.8, nov. 2013, pp. 108–115, doi:10.4067/S0718-27242013000400010. [CrossRef] [Google Scholar]
- D. Rotolo, D. Hicks, and B.R. Martin, “What is an emerging technology?” Research Policy, Dec. 2015, vol. 44, p.1827–1843, doi:10.1016/j.respol.2015.06.006. [CrossRef] [Google Scholar]
- H. Noh, Y.K. Song, and S. Lee, “Identifying emerging core technologies for the future: Case study of patents published by leading telecommunication organizations,” Telecommunications Policy, vol. 40, Oct. 2016, pp. 956–970, doi:10.1016/j.telpol.2016.04.003. [CrossRef] [Google Scholar]
- H. Small, H. Tseng, and M. Patek, “Discovering discoveries: Identifying biomedical discoveries using citation contexts”, Journal of Informetrics, vol. 11, Feb. 2017, p. 46–62, doi:10.1016/j.joi.2016.11.001. [CrossRef] [Google Scholar]
- J. Joung, and K. Kim, “Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data”, Technological Forecasting & Social Change, Jan. 2017, vol. 114, pp. 281–292, doi:10.1016/j.techfore.2016.08.020. [CrossRef] [Google Scholar]
- Zhang Y, Zhang G, Chen H, et al. Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research[J]. Technological Forecasting & Social Change, April 2016, vol. 105, pp.179–19, doi:10.1016/j.techfore.2016.01.015 1. [CrossRef] [Google Scholar]
- S. Zhang, and F. Han, “Identifying emerging topics in a technological domain”, Journal of Intelligent & Fuzzy Systems, vol. 31, Sep. 2016, pp.2147–2157, doi: 10.3233/JIFS-169054. [CrossRef] [Google Scholar]
- M. Medo, G. Cimini, and S. Gualdi, “Temporal effects in the growth of networks”, Physical review letters, vol. 107, Dec 2011, pp. 956–970, doi: 10.1103/PhysRevLett.107.238701. [CrossRef] [PubMed] [Google Scholar]
- I. Park, K. Lee, and B. Yoon, “Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field” Sustainability, vol. 7, Oct. 2015, pp. 13660–13689, doi:10.3390/su71013660. [CrossRef] [Google Scholar]
- D. Rotolo, I. Rafols, M.M. Hopkins, and L. Leydesdorff, “Strategic intelligence on emerging technologies: Scientometric overlay mapping”, Journal of the Association for Information Science & Technology, vol. 68, Dec. 2015, pp. 214–233, doi:/10.1002/asi.23631. [CrossRef] [Google Scholar]
- J.L. Guo, X.Y. Zhu, Q. Suo,and J. Forrest , “Non-uniform evolving hypergraphs and weighted evolving hypergraphs”, Scientific reports, Nov. 2016, doi:10.1038/srep36648. [Google Scholar]
- Leydesdorff L, Comins J A, Sorensen A A, et al. “Cited references and Medical Subject Headings (MeSH) as two different knowledge representations: clustering and mappings at the paper level”, Scientometrics, vol.109, March 2016, pp. 2077–2091,doi: 10.1007/s11192-016-2119-7. [CrossRef] [Google Scholar]
- D. Wang, C. Song, and A.L. Barabási, “Quantifying long-term scientific impact”, Science, vol. 342, Oct. 2013, pp.127–132, doi: 10.1126/science.1237825. [CrossRef] [PubMed] [Google Scholar]
- G. González-Alcaide, P. Llorente, and J.M. Ramos, “Bibliometric indicators to identify emerging research fields: publications on mass gatherings”, Scientometrics, Nov. 2016,vol. 109, pp. 1283–1298, doi: 10.1007/s11192-016-2083-2. [CrossRef] [Google Scholar]
- Q. Wang, “A bibliometric model for identifying emerging research topics”, Journal of the Association for Information Science and Technology, vol. 69, Feb. 2018, pp. 290–304, doi:10.1002/asi.23930. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.