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A bibliometric model for identifying emerging research topics

Citations

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Cited by:

  1. Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  2. Huang, Lu & Chen, Xiang & Ni, Xingxing & Liu, Jiarun & Cao, Xiaoli & Wang, Changtian, 2021. "Tracking the dynamics of co-word networks for emerging topic identification," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
  3. Zhenyu Yang & Wenyu Zhang & Zhimin Wang & Xiaoling Huang, 2024. "A deep learning-based method for predicting the emerging degree of research topics using emerging index," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4021-4042, July.
  4. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Zhang, Huiling & Pang, Hongshen, 2021. "Multidimensional Scientometric indicators for the detection of emerging research topics," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  5. Wooseok Jang & Yongtae Park & Hyeonju Seol, 2021. "Identifying emerging technologies using expert opinions on the future: A topic modeling and fuzzy clustering approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6505-6532, August.
  6. David A. Pendlebury, 2019. "Charting a path between the simple and the false and the complex and unusable: Review of Henk F. Moed, Applied Evaluative Informetrics [in the series Qualitative and Quantitative Analysis of Scientifi," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 549-560, April.
  7. Lu, Kun & Yang, Guancan & Wang, Xue, 2022. "Topics emerged in the biomedical field and their characteristics," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  8. Mathis, Bryan & Ohniwa, Ryosuke L., 2024. "Trends in emerging topics generation across countries in life science and medicine," Journal of Informetrics, Elsevier, vol. 18(3).
  9. Xiaoyu Liu & Alan L. Porter, 2020. "A 3-dimensional analysis for evaluating technology emergence indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 27-55, July.
  10. Gao, Qiang & Liang, Zhentao & Wang, Ping & Hou, Jingrui & Chen, Xiuxiu & Liu, Manman, 2021. "Potential index: Revealing the future impact of research topics based on current knowledge networks," Journal of Informetrics, Elsevier, vol. 15(3).
  11. Ryosuke L. Ohniwa & Kunio Takeyasu & Aiko Hibino, 2022. "Researcher dynamics in the generation of emerging topics in life sciences and medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 871-884, February.
  12. Xu, Shuo & Hao, Liyuan & An, Xin & Yang, Guancan & Wang, Feifei, 2019. "Emerging research topics detection with multiple machine learning models," Journal of Informetrics, Elsevier, vol. 13(4).
  13. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
  14. Qi Wang & Tobias Jeppsson, 2022. "Identifying benchmark units for research management and evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7557-7574, December.
  15. Sandra Rousseau & Ronald Rousseau, 2021. "Bibliometric Techniques And Their Use In Business And Economics Research," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1428-1451, December.
  16. Peter van den Besselaar & Ulf Sandström, 2019. "Measuring researcher independence using bibliometric data: A proposal for a new performance indicator," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-20, March.
  17. Zhentao Liang & Jin Mao & Kun Lu & Gang Li, 2021. "Finding citations for PubMed: a large-scale comparison between five freely available bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9519-9542, December.
  18. Peter Sjögårde & Fereshteh Didegah, 2022. "The association between topic growth and citation impact of research publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1903-1921, April.
  19. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
  20. Jinqing Yang & Zhifeng Liu & Yong Huang, 2024. "From informal to formal: scientific knowledge role transition prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4909-4935, August.
  21. Dejian Yu & Bo Xiang & Zhuoya Pan, 2024. "Combining text analytics and network path extraction to trace CSR in the social sciences: Intellectual structures and diffusion trajectories," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4532-4554, September.
  22. Lara-Rodríguez, Juan Sebastián & Rojas-Contreras, Camilo & Duque Oliva, Edison Jair, 2019. "Discovering emerging research topics for brand personality: A bibliometric analysis," Australasian marketing journal, Elsevier, vol. 27(4), pages 261-272.
  23. Bornmann, Lutz & Haunschild, Robin, 2022. "Empirical analysis of recent temporal dynamics of research fields: Annual publications in chemistry and related areas as an example," Journal of Informetrics, Elsevier, vol. 16(2).
  24. Lucie Beranová & Marcin P. Joachimiak & Tomáš Kliegr & Gollam Rabby & Vilém Sklenák, 2022. "Why was this cited? Explainable machine learning applied to COVID-19 research literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2313-2349, May.
  25. Jiang, Man & Yang, Siluo & Gao, Qiang, 2024. "Multidimensional indicators to identify emerging technologies: Perspective of technological knowledge flow," Journal of Informetrics, Elsevier, vol. 18(1).
  26. Kiran Kaur & Kwan Hoong Ng & Ray Kemp & Yin Yee Ong & Zaharah Ramly & Ai Peng Koh, 2019. "Knowledge generation in the wake of the Fukushima Daiichi nuclear power plant disaster," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 149-169, April.
  27. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
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