Zhentao Liang

PhD in Information Science

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Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes


Journal article


Jin Mao, Zhentao Liang, Yujie Cao, Gang Li
Journal of Informetrics, vol. 14, 2020, p. 101092

Cite

Cite

APA   Click to copy
Mao, J., Liang, Z., Cao, Y., & Li, G. (2020). Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes. Journal of Informetrics, 14, 101092.


Chicago/Turabian   Click to copy
Mao, Jin, Zhentao Liang, Yujie Cao, and Gang Li. “Quantifying Cross-Disciplinary Knowledge Flow from the Perspective of Content: Introducing an Approach Based on Knowledge Memes.” Journal of Informetrics 14 (2020): 101092.


MLA   Click to copy
Mao, Jin, et al. “Quantifying Cross-Disciplinary Knowledge Flow from the Perspective of Content: Introducing an Approach Based on Knowledge Memes.” Journal of Informetrics, vol. 14, 2020, p. 101092.


BibTeX   Click to copy

@article{mao2020a,
  title = {Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes},
  year = {2020},
  journal = {Journal of Informetrics},
  pages = {101092},
  volume = {14},
  author = {Mao, Jin and Liang, Zhentao and Cao, Yujie and Li, Gang}
}


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