Journal article
Journal of Informetrics, vol. 14, 2020, p. 101092
APA
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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
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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
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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}
}