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Four dimensional Science and Technology planning: A new approach based on bibliometrics and technology roadmapping

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Cited by:

  1. Belén López-Felices & José A. Aznar-Sánchez & Juan F. Velasco-Muñoz & María Piquer-Rodríguez, 2020. "Contribution of Irrigation Ponds to the Sustainability of Agriculture. A Review of Worldwide Research," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
  2. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
  3. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
  4. Cheng, M.N. & Wong, Jane W.K. & Cheung, C.F. & Leung, K.H., 2016. "A scenario-based roadmapping method for strategic planning and forecasting: A case study in a testing, inspection and certification company," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 44-62.
  5. Li, Munan & Porter, Alan L. & Suominen, Arho, 2018. "Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 285-296.
  6. Ma, Tingting & Zhang, Yi & Huang, Lu & Shang, Lining & Wang, Kangrui & Yu, Huizhu & Zhu, Donghua, 2017. "Text mining to gain technical intelligence for acquired target selection: A case study for China's computer numerical control machine tools industry," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 162-180.
  7. Ernesto Mesa-Vázquez & Juan F. Velasco-Muñoz & José A. Aznar-Sánchez & Belén López-Felices, 2021. "Three Decades of Behavioural Economics in Agriculture. An Overview of Global Research," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
  8. Amber Geurts & Ralph Gutknecht & Philine Warnke & Arjen Goetheer & Elna Schirrmeister & Babette Bakker & Svetlana Meissner, 2022. "New perspectives for data‐supported foresight: The hybrid AI‐expert approach," Futures & Foresight Science, John Wiley & Sons, vol. 4(1), March.
  9. Na Kyeong Lee & Yukyeong Han & Wei Xong & Min Song, 2020. "Two layer-based trajectory analysis of the research trend in automotive fuel industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1701-1719, September.
  10. R. C. Assunção, Lorena & A. S. Mendes, Pietro & Matos, Stelvia & Borschiver, Suzana, 2021. "Technology roadmap of renewable natural gas: Identifying trends for research and development to improve biogas upgrading technology management," Applied Energy, Elsevier, vol. 292(C).
  11. Bi, Kexin & Huang, Ping & Ye, Hui, 2015. "Risk identification, evaluation and response of low-carbon technological innovation under the global value chain: A case of the Chinese manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 238-248.
  12. Daiho Uhm & Jea-Bok Ryu & Sunghae Jun, 2017. "An Interval Estimation Method of Patent Keyword Data for Sustainable Technology Forecasting," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
  13. Chakraborty, Swagata & Nijssen, Edwin J. & Valkenburg, Rianne, 2022. "A systematic review of industry-level applications of technology roadmapping: Evaluation and design propositions for roadmapping practitioners," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  14. Elizabeth Gibson & Tugrul Daim & Edwin Garces & Marina Dabic, 2018. "Technology Foresight: A Bibliometric Analysis to Identify Leading and Emerging Methods," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(1), pages 6-24.
  15. Zhang, Yi & Robinson, Douglas K.R. & Porter, Alan L. & Zhu, Donghua & Zhang, Guangquan & Lu, Jie, 2016. "Technology roadmapping for competitive technical intelligence," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 175-186.
  16. Zhou, Xiao & Huang, Lu & Porter, Alan & Vicente-Gomila, Jose M., 2019. "Tracing the system transformations and innovation pathways of an emerging technology: Solid lipid nanoparticles," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 785-794.
  17. Christian Ulrich & Benjamin Frieske & Stephan A. Schmid & Horst E. Friedrich, 2022. "Monitoring and Forecasting of Key Functions and Technologies for Automated Driving," Forecasting, MDPI, vol. 4(2), pages 1-24, May.
  18. José A. Aznar-Sánchez & Juan F. Velasco-Muñoz & Belén López-Felices & Isabel M. Román-Sánchez, 2020. "An Analysis of Global Research Trends on Greenhouse Technology: Towards a Sustainable Agriculture," IJERPH, MDPI, vol. 17(2), pages 1-22, January.
  19. Zhang, Yi & Zhang, Guangquan & Chen, Hongshu & Porter, Alan L. & Zhu, Donghua & Lu, Jie, 2016. "Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 179-191.
  20. Munan Li, 2015. "A novel three-dimension perspective to explore technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1679-1697, December.
  21. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  22. Leticia Gallego-Valero & Encarnación Moral-Parajes & Isabel María Román-Sánchez, 2021. "Wastewater Treatment Costs: A Research Overview through Bibliometric Analysis," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
  23. Azimi, Sasan & Rahmani, Rouhollah & Fateh-rad, Mahdi, 2019. "Investment cost optimization for industrial project portfolios using technology mining," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 243-253.
  24. Li, Xin & Xie, Qianqian & Daim, Tugrul & Huang, Lucheng, 2019. "Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 432-449.
  25. Sangsung Park & Sunghae Jun, 2017. "Technology Analysis of Global Smart Light Emitting Diode (LED) Development Using Patent Data," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
  26. Kayser, Victoria & Blind, Knut, 2017. "Extending the knowledge base of foresight: The contribution of text mining," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 208-215.
  27. Huang, Ying & Porter, Alan L. & Zhang, Yi & Lian, Xiangpeng & Guo, Ying, 2019. "An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 831-843.
  28. Isabela Neto Piccirillo & Daniel Capaldo Amaral & Maicon Gouvêa De Oliveira, 2022. "A Research Agenda for Collaborative Roadmapping Supported by Blockchain Technology," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
  29. Park, Hyunkyu & Phaal, Rob & Ho, Jae-Yun & O'Sullivan, Eoin, 2020. "Twenty years of technology and strategic roadmapping research: A school of thought perspective," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
  30. María J. López-Serrano & Juan F. Velasco-Muñoz & José A. Aznar-Sánchez & Isabel M. Román-Sánchez, 2020. "Sustainable Use of Wastewater in Agriculture: A Bibliometric Analysis of Worldwide Research," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
  31. Bildosola, Iñaki & Río-Bélver, Rosa María & Garechana, Gaizka & Cilleruelo, Ernesto, 2017. "TeknoRoadmap, an approach for depicting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 25-37.
  32. Wen-Cheng Huang & Yi-Ying Lee, 2016. "Strategic Planning for Land Use under Extreme Climate Changes: A Case Study in Taiwan," Sustainability, MDPI, vol. 8(1), pages 1-17, January.
  33. Sungchul Kim & Dongsik Jang & Sunghae Jun & Sangsung Park, 2015. "A Novel Forecasting Methodology for Sustainable Management of Defense Technology," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
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