Jin Mao


2023

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Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities
Shiyun Wang | Yaxue Ma | Jin Mao | Yun Bai | Zhentao Liang | Gang Li
2023 Volume 74 Issue 2

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Bias against scientific novelty: A prepublication perspective
Zhentao Liang | Jin Mao | Gang Li
2023 Volume 74 Issue 1

2022

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Identifying widely disseminated scientific papers on social media
Yaxue Ma | Tingting Li | Jin Mao | Zhichao Ba | Gang Li
2022 Volume 59 Issue 3

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Identifying humanitarian information for emergency response by modeling the correlation and independence between text and images
Xuehua Wu | Jin Mao | Hao Xie | Gang Li
2022 Volume 59 Issue 4

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Assembly Models for SimpleText Task 2: Results from Wuhan University Research Group
Jianfei Huang | Jin Mao
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022

2021

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Persuasion strategies of misinformation-containing posts in the social media
Sijing Chen | Lu Xiao | Jin Mao
2021 Volume 58 Issue 5

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Combining deep neural network and bibliometric indicator for emerging research topic prediction
Zhentao Liang | Jin Mao | Kun Lu | Zhichao Ba | Gang Li
2021 Volume 58 Issue 5

2020

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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

2019

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Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis
Kai Hu | Qing Luo | Kunlun Qi | Siluo Yang | Jin Mao | Xiaokang Fu | Jie Zheng | Huayi Wu | Ya Guo | Qibing Zhu
2019 Volume 56 Issue 4

2018

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Ranking themes on co-word networks: Exploring the relationships among different metrics
Wanying Zhao | Jin Mao | Kun Lu
2018 Volume 54 Issue 2

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Identifying bacterial biotope entities using sequence labeling: Performance and feature analysis
Jin Mao | Hong Cui
2018 Volume 69 Issue 9

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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

2015

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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

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An automatic approach to weighted subject indexing - an empirical study in the biomedical domain
Kun Lu | Jin Mao
2015 Volume 66 Issue 9

2014

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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