‘Technology Mining’ bibliometrics analysis: applying network analysis and cluster analysis
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DOI: 10.1007/s11192-015-1685-4
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References listed on IDEAS
- Janghyeok Yoon & Hyunseok Park & Kwangsoo Kim, 2013. "Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 313-331, January.
- repec:cup:judgdm:v:3:y:2008:i:7:p:547-569 is not listed on IDEAS
- Tijssen, Robert J. W., 2001. "Global and domestic utilization of industrial relevant science: patent citation analysis of science-technology interactions and knowledge flows," Research Policy, Elsevier, vol. 30(1), pages 35-54, January.
- Sungchul Choi & Janghyeok Yoon & Kwangsoo Kim & Jae Yeol Lee & Cheol-Han Kim, 2011. "SAO network analysis of patents for technology trends identification: a case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 863-883, September.
- Janghyeok Yoon & Kwangsoo Kim, 2011. "Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 213-228, July.
- Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
- Tonta, Yaşar & Darvish, Hamid R., 2010. "Diffusion of latent semantic analysis as a research tool: A social network analysis approach," Journal of Informetrics, Elsevier, vol. 4(2), pages 166-174.
- Jan M. Gerken & Martin G. Moehrle, 2012. "A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 645-670, June.
- Hyunseok Park & Janghyeok Yoon & Kwangsoo Kim, 2012. "Identifying patent infringement using SAO based semantic technological similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 515-529, February.
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Cited by:
- Christian Mühlroth & Laura Kölbl & Michael Grottke, 2023. "Innovation signals: leveraging machine learning to separate noise from news," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2649-2676, May.
- Dejian Yu & Zeshui Xu & Wanru Wang, 2019. "A bibliometric analysis of Fuzzy Optimization and Decision Making (2002–2017)," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 371-397, September.
- Lei Sun & Xiaoli Fan, 2024. "Research Hotspots and Future Trends in Canal-Related Industrial Buildings," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
- Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
- Christian Mühlroth & Michael Grottke, 2018. "A systematic literature review of mining weak signals and trends for corporate foresight," Journal of Business Economics, Springer, vol. 88(5), pages 643-687, July.
- Chencheng Fang & Jiantong Zhang & Wei Qiu, 2017. "Online classified advertising: a review and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1481-1511, December.
- Patrick Wolf & Tobias Buchmann, 2021. "Analyzing development patterns in research networks and technology," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 55-81, April.
- Xu, Jiuping & Gao, Wen & Xie, Heping & Dai, Jingqi & Lv, Chengwei & Li, Meihui, 2018. "Integrated tech-paradigm based innovative approach towards ecological coal mining," Energy, Elsevier, vol. 151(C), pages 297-308.
- Leonid Gokhberg & Ilya Kuzminov & Pavel Bakhtin & Elena Tochilina & Alexander Chulok & Anton Timofeev & Alina Lavrinenko, 2017. "Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector," HSE Working papers WP BRP 76/STI/2017, National Research University Higher School of Economics.
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