Yaxue Ma

According to our database, Yaxue Ma authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A network coupling approach to detecting hierarchical linkages between science and technology.

Kai Meng, Zhichao Ba, Yaxue Ma, Gang Li

J. Assoc. Inf. Sci. Technol., February, 2024

Tree knowledge structure for better insight: Capturing biomedical science-technology knowledge linkage with MeSH.

Zhejun Zheng, Yaxue Ma, Zhichao Ba, Lei Pei

J. Informetrics, 2024

2023

How to configure intellectual capital of research teams for triggering scientific breakthroughs: Exploratory study in the field of gene editing.

Yaxue Ma, Zhichao Ba, Haiping Zhao, Jianjun Sun

J. Informetrics, November, 2023

Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities.

Shiyun Wang, Yaxue Ma, Jin Mao, Yun Bai, Zhentao Liang, Gang Li

J. Assoc. Inf. Sci. Technol., February, 2023

2022

Identifying widely disseminated scientific papers on social media.

Yaxue Ma, Tingting Li, Jin Mao, Zhichao Ba, Gang Li

Inf. Process. Manag., 2022

2021

Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling-artificial neural network approach.

Yaxue Ma, Zhichao Ba, Yuxiang Zhao, Jin Mao, Gang Li

Scientometrics, 2021

Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field.

Zhichao Ba, Jin Mao, Yaxue Ma, Zhentao Liang

J. Informetrics, 2021

The correlation between content novelty and scientific impact.

Shiyun Wang, Jin Mao, Yaxue Ma

Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2021) co-located with JCDL 2021, 2021

2020

Location recommendation by combining geographical, categorical, and social preferences with location popularity.

Yaxue Ma, Jin Mao, Zhichao Ba, Gang Li

Inf. Process. Manag., 2020

2019

Location recommendation by combining geographical, categorical, and social preferences with location popularity.

Yaxue Ma, Jin Mao, Gang Li

Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019