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Yaxue Ma
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2020 – today
- 2024
- [j8]Kai Meng, Zhichao Ba
, Yaxue Ma, Gang Li:
A network coupling approach to detecting hierarchical linkages between science and technology. J. Assoc. Inf. Sci. Technol. 75(2): 167-187 (2024) - [j7]Zhejun Zheng
Tree knowledge structure for better insight: Capturing biomedical science-technology knowledge linkage with MeSH. J. Informetrics 18(4): 101568 (2024) - 2023
- [j6]Shiyun Wang, Yaxue Ma, Jin Mao
Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities. J. Assoc. Inf. Sci. Technol. 74(2): 150-167 (2023) - [j5]Yaxue Ma
How to configure intellectual capital of research teams for triggering scientific breakthroughs: Exploratory study in the field of gene editing. J. Informetrics 17(4): 101459 (2023) - 2022
- [j4]Yaxue Ma
Identifying widely disseminated scientific papers on social media. Inf. Process. Manag. 59(3): 102945 (2022) - 2021
- [j3]Zhichao Ba
Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field. J. Informetrics 15(3): 101198 (2021) - [j2]Yaxue Ma, Zhichao Ba
Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling-artificial neural network approach. Scientometrics 126(8): 7051-7085 (2021) - [c2]Shiyun Wang, Jin Mao, Yaxue Ma:
The correlation between content novelty and scientific impact. EEKE@JCDL 2021: 66-68 - 2020
- [j1]Yaxue Ma, Jin Mao, Zhichao Ba, Gang Li:
Location recommendation by combining geographical, categorical, and social preferences with location popularity. Inf. Process. Manag. 57(4): 102251 (2020)
2010 – 2019
- 2019
- [c1]Yaxue Ma, Jin Mao, Gang Li:
Location recommendation by combining geographical, categorical, and social preferences with location popularity. ASIST 2019: 725-726
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