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Identifying potentially disruptive trends by means of keyword network analysis

Citations

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Cited by:

  1. Minhao Xiang & Dian Fu & Kun Lv, 2023. "Identifying and Predicting Trends of Disruptive Technologies: An Empirical Study Based on Text Mining and Time Series Forecasting," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
  2. Lei Sun & Xiaoli Fan, 2024. "Research Hotspots and Future Trends in Canal-Related Industrial Buildings," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
  3. Junsheng Zhang & Xiaoping Sun & Zhihui Liu, 2024. "Measuring the evolving stage of temporal distribution of research topic keyword in scientific literature by research heat curve," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7287-7328, November.
  4. S. Lozano & L. Calzada-Infante & B. Adenso-Díaz & S. García, 2019. "Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 609-629, August.
  5. Chungil Chae & Jeong-Ha Yim & Jaeeun Lee & Sung Jun Jo & Jeong Rok Oh, 2020. "The Bibliometric Keywords Network Analysis of Human Resource Management Research Trends: The Case of Human Resource Management Journals in South Korea," Sustainability, MDPI, vol. 12(14), pages 1-37, July.
  6. Choi, Jaemyoung & Lee, Sungsoo & Lee, Hakyeon, 2026. "Navigating the AI technology landscape from GitHub data," Technology in Society, Elsevier, vol. 84(C).
  7. Chen, Fan & Wang, Delu & Li, Chunxiao & Mao, Jinqi & Wang, Yadong & Yu, Lan, 2025. "Evolution analysis and trend forecasting for low-carbon technologies in coal power based on a three-layer text mining framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 217(C).
  8. Balázs Borsi & Zsófia Vida & Sándor Soós, 2025. "Keyword standardization and restructuring: the impact on analysing network-based science maps in innovation management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 593-617, February.
  9. Di Virgilio, Francesca & Capalbo, Francesco & Doronzo, Emanuele, 2024. "A bibliometric analysis of digitalization in public sector and human resources management studies. What happened to the trial court organization?," Economics & Statistics Discussion Papers esdp24097, University of Molise, Department of Economics.
  10. Kangwei Tu & Andras Reith, 2023. "Changes in Urban Planning in Response to Pandemics: A Comparative Review from H1N1 to COVID-19 (2009–2022)," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
  11. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  12. Yang, Zaoli & Zhang, Weijian & Yuan, Fei & Islam, Nazrul, 2021. "Measuring topic network centrality for identifying technology and technological development in online communities," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
  13. Roh, Taeyeoun & Yoon, Byungun, 2023. "Discovering technology and science innovation opportunity based on sentence generation algorithm," Journal of Informetrics, Elsevier, vol. 17(2).
  14. Xiwen Liu & Xuezhao Wang & Lucheng Lyu & Yanpeng Wang, 2022. "Identifying disruptive technologies by integrating multi-source data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5325-5351, September.
  15. Hossein Rouhani Zeidanloo & Miroslav Špaček, 2025. "Assessing disruptive potential in the IT sector: a framework for evaluating company-to-company impact," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-64, December.
  16. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
  17. Klarin, Anton, 2020. "The decade-long cryptocurrencies and the blockchain rollercoaster: Mapping the intellectual structure and charting future directions," Research in International Business and Finance, Elsevier, vol. 51(C).
  18. Richarz, Jan & Wegewitz, Stephan & Henn, Sarah & Müller, Dirk, 2023. "Graph-based research field analysis by the use of natural language processing: An overview of German energy research," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  19. Choudhury, Nazim & Faisal, Fahim & Khushi, Matloob, 2020. "Mining Temporal Evolution of Knowledge Graphs and Genealogical Features for Literature-based Discovery Prediction," Journal of Informetrics, Elsevier, vol. 14(3).
  20. Ilya Kuzminov & Pavel Bakhtin & Elena Khabirova & Irina V. Loginova, 2018. "Detecting and Validating Global Technology Trends Using Quantitative and Expert-Based Foresight Techniques," HSE Working papers WP BRP 82/STI/2018, National Research University Higher School of Economics.
  21. Sommarberg, Matti & Mäkinen, Saku J., 2019. "A method for anticipating the disruptive nature of digitalization in the machine-building industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 808-819.
  22. Ha, Jinkyung & Nam, Changi & Kim, Seongcheol, 2024. "A systematic review of mobile payment literature: What has been studied and what should be studied?," Telecommunications Policy, Elsevier, vol. 48(7).
  23. repec:plo:pone00:0201435 is not listed on IDEAS
  24. Xiangcheng Meng & Alan H. S. Chan, 2021. "Current States and Future Trends in Safety Research of Construction Personnel: A Quantitative Analysis Based on Social Network Approach," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
  25. He, Youwei & Lee, Jeong-Dong, 2025. "Small but not least changes: The art of creating disruptive innovations," Journal of Informetrics, Elsevier, vol. 19(3).
  26. Lu, Shuai & Li, Shouwei, 2023. "Is institutional herding efficient? Evidence from an investment efficiency and informational network perspective," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
  27. Hajdini, Johana & Za, Stefano & Iaia, Lea, 2025. "State of art and future research directions for marketing technologies in healthcare," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
  28. Percia David, Dimitri & Maréchal, Loïc & Lacube, William & Gillard, Sébastien & Tsesmelis, Michael & Maillart, Thomas & Mermoud, Alain, 2023. "Measuring security development in information technologies: A scientometric framework using arXiv e-prints," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  29. 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.
  30. Lei Li & Ali Cheshmehzangi & Faith Ka Shun Chan & Christopher D. Ives, 2021. "Mapping the Research Landscape of Nature-Based Solutions in Urbanism," Sustainability, MDPI, vol. 13(7), pages 1-41, April.
  31. Xiao Zhou & Lu Huang & Yi Zhang & Miaomiao Yu, 2019. "A hybrid approach to detecting technological recombination based on text mining and patent network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 699-737, November.
  32. Allal-Chérif, Oihab & Yela Aránega, Alba & Castaño Sánchez, Rafael, 2021. "Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  33. Erzurumlu, S. Sinan & Pachamanova, Dessislava, 2020. "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
  34. He Soung Ahn & EuiBeom Jeong & Hyejin Cho, 2020. "Toward an Understanding of Family Business Sustainability: A Network-Based Systematic Review," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
  35. Ephrem Melaku Getachew & Woubishet Zewdu Taffese & Leonardo Espinosa-Leal & Mitiku Damtie Yehualaw, 2025. "Machine Learning Applications in Sustainable Construction Materials: A Scientometrics Review of Global Trends, Themes, and Future Directions," Sustainability, MDPI, vol. 17(18), pages 1-34, September.
  36. Ebadi, Ashkan & Auger, Alain & Gauthier, Yvan, 2022. "Detecting emerging technologies and their evolution using deep learning and weak signal analysis," Journal of Informetrics, Elsevier, vol. 16(4).
  37. Shengxuan Tang & Ming Cai & Yao Xiao, 2024. "A Cross-Citation-Based Model for Technological Advancement Assessment: Methodology and Application," Sustainability, MDPI, vol. 16(1), pages 1-20, January.
  38. Muhammad Ali Nasir & Toan Luu Duc Huynh & Sang Phu Nguyen & Duy Duong, 2019. "Forecasting cryptocurrency returns and volume using search engines," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-13, December.
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