Jin Mao
2014
Leverage the Associations between Documents, Subject Headings and Terms to Enhance Retrieval
Jin Mao
|
Kun Lu
Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR '14, Shanghai, China, November 7, 2014
2015
An automatic approach to weighted subject indexing - an empirical study in the biomedical domain
Kun Lu
|
Jin Mao
2015 Volume 66 Issue 9
Mining document, concept, and term associations for effective biomedical retrieval: introducing MeSH-enhanced retrieval models
Jin Mao
|
Kun Lu
|
Xiangming Mu
|
Gang Li
2015 Volume 18 Issue 5
2018
Toward effective automated weighted subject indexing: A comparison of different approaches in different environments
Kun Lu
|
Jin Mao
|
Gang Li
2018 Volume 69 Issue 1
Identifying bacterial biotope entities using sequence labeling: Performance and feature analysis
Jin Mao
|
Hong Cui
2018 Volume 69 Issue 9
Ranking themes on co-word networks: Exploring the relationships among different metrics
Wanying Zhao
|
Jin Mao
|
Kun Lu
2018 Volume 54 Issue 2
2019
Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis
Kai Hu
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Qing Luo
|
Kunlun Qi
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Siluo Yang
|
Jin Mao
|
Xiaokang Fu
|
Jie Zheng
|
Huayi Wu
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Ya Guo
|
Qibing Zhu
2019 Volume 56 Issue 4
2020
Location recommendation by combining geographical, categorical, and social preferences with location popularity
Yaxue Ma
|
Jin Mao
|
Zhichao Ba
|
Gang Li
2020 Volume 57 Issue 4
2021
Combining deep neural network and bibliometric indicator for emerging research topic prediction
Zhentao Liang
|
Jin Mao
|
Kun Lu
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Zhichao Ba
|
Gang Li
2021 Volume 58 Issue 5
Persuasion strategies of misinformation-containing posts in the social media
Sijing Chen
|
Lu Xiao
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Jin Mao
2021 Volume 58 Issue 5