Journal article
Journal of Informetrics, vol. 15, Elsevier, 2021, p. 101165
APA
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Gao, Q., Liang, Z., Wang, P., Hou, J., Chen, X., & Liu, M. (2021). Potential index: Revealing the future impact of research topics based on current knowledge networks. Journal of Informetrics, 15, 101165.
Chicago/Turabian
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Gao, Qiang, Zhentao Liang, Ping Wang, Jingrui Hou, Xiuxiu Chen, and Manman Liu. “Potential Index: Revealing the Future Impact of Research Topics Based on Current Knowledge Networks.” Journal of Informetrics 15 (2021): 101165.
MLA
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Gao, Qiang, et al. “Potential Index: Revealing the Future Impact of Research Topics Based on Current Knowledge Networks.” Journal of Informetrics, vol. 15, Elsevier, 2021, p. 101165.
BibTeX Click to copy
@article{gao2021a,
title = {Potential index: Revealing the future impact of research topics based on current knowledge networks},
year = {2021},
journal = {Journal of Informetrics},
pages = {101165},
publisher = {Elsevier},
volume = {15},
author = {Gao, Qiang and Liang, Zhentao and Wang, Ping and Hou, Jingrui and Chen, Xiuxiu and Liu, Manman}
}