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Yaxue Ma
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 10
Top Topics
Neural Network
Intellectual Capital
Scientific Papers
Variable Precision
Top Venues
J. Informetrics
Inf. Process. Manag.
J. Assoc. Inf. Sci. Technol.
ASIST
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Publications
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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) (2024)
Zhejun Zheng
,
Yaxue Ma
,
Zhichao Ba
,
Lei Pei
Tree knowledge structure for better insight: Capturing biomedical science-technology knowledge linkage with MeSH.
J. Informetrics
18 (4) (2024)
Yaxue Ma
,
Zhichao Ba
,
Haiping Zhao
,
Jianjun Sun
How to configure intellectual capital of research teams for triggering scientific breakthroughs: Exploratory study in the field of gene editing.
J. Informetrics
17 (4) (2023)
Shiyun Wang
,
Yaxue Ma
,
Jin Mao
,
Yun Bai
,
Zhentao Liang
,
Gang Li
Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities.
J. Assoc. Inf. Sci. Technol.
74 (2) (2023)
Yaxue Ma
,
Tingting Li
,
Jin Mao
,
Zhichao Ba
,
Gang Li
Identifying widely disseminated scientific papers on social media.
Inf. Process. Manag.
59 (3) (2022)
Zhichao Ba
,
Jin Mao
,
Yaxue Ma
,
Zhentao Liang
Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field.
J. Informetrics
15 (3) (2021)
Shiyun Wang
,
Jin Mao
,
Yaxue Ma
The correlation between content novelty and scientific impact.
EEKE@JCDL
(2021)
Yaxue Ma
,
Zhichao Ba
,
Yuxiang Zhao
,
Jin Mao
,
Gang Li
Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling-artificial neural network approach.
Scientometrics
126 (8) (2021)
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) (2020)
Yaxue Ma
,
Jin Mao
,
Gang Li
Location recommendation by combining geographical, categorical, and social preferences with location popularity.
ASIST
(2019)