毛进
+
Personal Information
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):Mao Jin
- Date of Birth:1988-03-08
- E-Mail:
- Date of Employment:2019-12-07
- Education Level:With Certificate of Graduation for Doctorate Study
- Gender:Male
- Status:Employed
- Academic Titles:武汉大学数据智能研究院副院长、武汉大学信息管理学院副教授
- Alma Mater:武汉大学
- Teacher College:School of Information Management
- Discipline:
Other specialties in Library and Information Studies and Archives Management;
Information science
- Honors and Titles
2018 elected:首批湖北省联合培养博士后青年创新人才
2018 elected:湖北省“楚天学者”计划楚天学子
2018 elected:第四届中国科协青年人才托举工程（2018-2020）
2019 elected:中国科技情报学会青年情报科学家
2019 elected:中国科学技术情报学会情报工程创新团队
- [1]. Yupei Tian, Gang Li*, Jin Mao*. (2023). Predicting the evolution of scientific communities by interpretable machine learning approaches.. Journal of Informetrics. 17 (2). 2023.
- [2]. Zhentao Liang, Zhichao Ba*, Jin Mao, Gang Li. (2023)Research complexity increases with scientists academic age: Evidence from library and information science.. Journal of Informetrics. 17 (1). 2023.
- [3]. Liang, Z., Jin Mao*, Gang Li*.(2023). Bias against scientific novelty: A prepublication perspective.. Journal of the Association for Information Science and Technology. 1-16. 2023.
- [4]. Shiyun Wang, Yaxue Ma*, Jin Mao*, Yun Bai, Zhentao Liang, Gang Li. (2023). Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities. Journal of the Association for Information Science and Technology. 2023.
- [5]. Ma, Y., Li, T.*, Mao, J.*, Ba, Z., & Li, G. (2022). Identifying widely disseminated scientific papers on social media. Information Processing & Management. 59 (3). 2022.
- [6]. Wang, S., Mao, J., Cao, Y*. et al.(2022). Integrated knowledge content in an interdisciplinary field: identification, classification, and application. Scientometrics . 127. 6581–6614. 2022.
- [7]. Shiyun Wang, Jin Mao*, Kun Lu, Yujie Cao, Gang Li.(2021). Investigating interdisciplinary knowledge integration through citance analysis: A case study on eHealth. Journal of Informetrics. 15 (4). 2021.
- [8]. Wu, X., Mao, J.*, Xie, H., & Li, G*. (2022). Identifying humanitarian information for emergency response by modeling the correlation and independence between text and images.. Information Processing & Management. 59 (4). 2022.
- [9]. Yaxue Ma, Zhichao Ba*, Yuxiang (Chris) Zhao*, Jin Mao, Gang Li.(2021). Understanding and predicting the dissemination of scientific papers on social media: A two-step simultaneous equation modeling-artificial neural network approach. Scientometrics. 2021.
- [10]. Zhichao Ba, Jin Mao, Yaxue Ma, Zhentao Liang.(2021). Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field. Journal of Informetrics. 2021.
- [11]. Sijing Chen, Lu Xiao*, and Jin Mao.(2021). Persuasion Strategies of Misinformation-containing Posts in Chinese Weibo. Information Processing & Management. 2021.
- [12]. Zhentao Liang, Jin Mao*, Kun Lu, Gang Li.(2022). Finding citations for PubMed: A large-scale comparison between five open access data sources. Scientometrics. 2022.
- [13]. Wang Shiyun, Mao Jin*, Tang Jing, Cao Yujie.(2021). Content Characteristics of Knowledge Integration in the eHealth Field: An Analysis Based on Citation Contexts. Journal of Data and Information Science. 2021.
- [14]. Zhentao Liang, Jin Mao*, Kun Lu, Zhichao Ba, Gang Li.(2021). Combining deep neural network and bibliometric indicator for emerging research topic prediction. Information Processing & Management. 2021.
- [15]. Mao Jin, Liang Zhentao, Cao Yujie, Li Gang.(2020) Quantifying Cross-disciplinary Knowledge Flow from the Perspective of Content: Introducing an Approach Based on Knowledge Memes. Journal of Informetrics. 2020.
- [16]. Ma Yaxue, Mao Jin*, Ba Zhichao, Li Gang. (2020)Location recommendation by combining geographical, categorical, and social preferences with location popularity. Information Management & Processing. 57 (4). 2020.
- [17]. Chen Sijing, Mao Jin*, Li Gang, Ma Chao, & Cao Yujie.(2020) Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective–A case study of Hurricane Harvey.. Telematics and Informatics. 2020.
- [18]. Ba Zhichao, Cao Yujie*, Mao Jin* & Li Gang.(2019). A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science.. Scientometrics. 119 (3). 1455-1486. 2019.
- [19]. Mao Jin, Cui Hong.(2018). Identifying bacterial biotope entities using sequence labeling: Performance and feature analysis. Journal of the Association for Information Science and Technology. 69 (9). 1134-1147. 2018.
- [20]. Mao Jin, Cao Yujie, Lu Kun, Li Gang.(2017). Topic scientific community in science: a combined perspective of scientific collaboration and topics. Scientometrics. 112 (2). 851-875. 2017.
- [21]. Mao Jin, Moore LR, Blank CE, Wu EH-H, Ackerman M, and Cui Hong.(2016). Microbial Phenomics Information Extractor (MicroPIE): A Natural Language Processing Tool for the Automated Acquisition of Prokaryotic Phenotypic Characters from Text Sources. BMC Bioinformatics. 2016.
- [22]. Mao Jin, Lu Kun, Li Gang, & Yi Ming.(2016).Profiling users with tag networks in diffusion-based personalized recommendation .. Journal of Information Science. 711-722. 2016.
- [23]. Mao Jin, Lu Kun, Mu Xiangming, & Li Gang.(2015). Mining document, concept, and term associations for effective biomedical retrieval: Introducing MeSH-enhanced retrieval models. Information Retrieval Journal. 18 (5). 413-444. 2015.
- [24]. Zhao Wanying, Mao Jin, Lu Kun.(2018). Ranking themes on co-word networks: Exploring the relationships among different metrics. Information Processing & Management. 54 (2). 203-218. 2018.
- [25]. Lu Kun, Mao Jin, Li Gang.(2018).Toward effective automated weighted subject indexing: A comparison of different approaches in different environments. Journal of the Association for Information Science & Technology. 69 (1). 2018.
- [26]. Lu Kun, Mao Jin.(2015). An automatic approach to weighted subject indexing—an empirical study in the biomedical domain. Journal of the Association for Information Science and Technology. 66 (9). 1776-1784. 2015.
- [27]. Lyu P H, Yao Q, Mao Jin, et al.(2015). Emerging medical informatics research trends detection based on MeSH terms. Informatics for Health and Social Care. 40 (3). 210-228. 2015.
- [28]. Hu, K., Luo, Q., Qi, K., Yang, S., Mao, J., Fu, X., ... & Zhu, Q.(2019). Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis. Information Processing & Management. 2019.
- [29]. 陈茜,毛进,马亚雪,李纲.创新型企业的论文与专利关联性研究——以基因工程领域为例. 科学学研究. 2022.
- [30]. 刘飞,毛进,李纲.科学计量学领域科研合作特征及空间集聚模式研究. 情报科学. 40 (1). 166-175. 2022.
- [31]. 毛进,陈子洋.基于深度学习的科技文献摘要结构功能识别研究. 农业图书情报学报. 1-13. 2021.
- [32]. 李纲,张霁,毛进*.面向突发事件画像的社交媒体图像分类研究. 数据分析与知识发现. 6 (Z1). 67-79. 2022.
- [33]. 徐元，毛进，李纲*.面向突发事件应急管理的社交媒体多模态信息分析研究. 情报学报. 40 (11). 1150-1163. 2021.
- [34]. 刘洋,张雯,胡毅,毛进*,黄菲.基于多模态深度学习的酒店股票预测. 数据分析与知识发现. 2022.
- [35]. 王施运，毛进*，李白杨，李纲. 面向态势感知的国家安全事件图构建研究. 情报学报. 40 (11). 1164-1175. 2021.
- [36]. 吴雪华，毛进，陈思菁，谢豪，李纲. 突发事件应急行动支撑信息的自动识别与分类研究. 情报学报. 40 (8). 817-830. 2021.
- [37]. 陈茜,陈思菁,毛进,李纲.突发事件背景下内容添加型转发微博的情绪与认知变化研究. 情报科学. 39 (11). 2021.
- [38]. 李纲,唐晶,毛进*,田云裴,张斌.基于演化事件探测的学科领域科研社群演化特征研究——以图书馆学情报学为例. 图书情报工作. 2021.
- [39]. 李纲,余辉,毛进*.基于多层语义相似的技术供需文本匹配模型研究. 数据分析与知识发现. 2021.
- [40]. 谢豪,吴雪华,陈茜,唐晶,白云,毛进*.融合多维特征的学术文献下载行为预测研究. 数据分析与知识发现. 2021.
- [41]. 徐元,毛进,李纲.灾害事件下基于多模态融合的社交媒体信息丰富型推文识别研究. 情报科学. 39 (5). 169-175. 2021.
- [42]. 谢豪,毛进*,李纲.基于多层语义融合的图文信息情感分类研究. 数据分析与知识发现. 5 (6). 103-114. 2021.
- [43]. 曾桢,陈璟浩,毛进,朱梦娴.贸易信息关联与融合本体研究——以农产品贸易为例. 情报科学. (1). 93-102. 2021.
- [44]. 王晓,李纲,毛进,叶光辉.突发事件舆情观点识别与分析研究评述. 图书情报知识. 2021.
- [45]. 马亚雪,毛进,李纲.面向科学社会计算的数据组织与建模方法. 中国图书馆学报. 47 (1). 76-87. 2021.
- [46]. 李纲,张霁,毛进*,马超.灾害事件下社交媒体图文相关性研究. 情报学报. 39 (11). 1223-1231. 2020.
- [47]. 马超, 李纲, 陈思菁, 毛进*, 张霁. 基于多模态数据语义融合的旅游在线评论有用性识别研究. 情报学报. 39 (2). 199-207. 2020.
- [48]. 陈思菁, 李纲, 毛进*, 等. 突发事件信息传播网络中的关键节点动态识别研究. 情报学报. 38 (2). 178-190. 2019.
- [49]. 李纲, 毛进, 芦昆. 医学信息检索中一种基于概念的查询相似度模型. 情报学报. 3 (3). 239-249. 2014.
- [50]. 易明, 毛进, 邓卫华, 曹高辉. 社会化标签系统中基于社会网络的知识推送网络演化研究. 中国图书馆学报. 50-66. 2014.
- [51]. 李纲, 毛进. 文本图表示模型及其在文本挖掘中的应用. 情报学报. 1257-1264. 2013.
- [52]. 易明, 毛进, 曹高辉, 邓卫华. 互联网知识传播网络结构计量研究. 情报学报. 44-57. 2013.
- [53]. 毛进, 易明, 操玉杰, 沈劲枝. 一种基于用户标签网络的个性化推荐方法. 情报学报. 23-30. 2012.
- [54]. 李纲，魏旻予，毛进*，郑彬彬. 基于合著网络的城市间科研合作特征研究——以计算机领域核心期刊为例. 情报学报. 33 (10). 1067-1076. 2012.
- [55]. 操玉杰,李纲,毛进*,杨冠灿.基于ERGM的学科交叉领域知识连接机制实证研究. 图书情报工作. 39 (7). 84-90. 2019.
- [56]. 李纲,周华阳,毛进*,陈思菁.基于机器学习的社交媒体用户分类研究. 数据分析与知识发现. 3 (08). 1-9.
- [57]. 操玉杰,李纲,毛进*,杨冠灿.基于ERGM的学科交叉领域知识连接机制实证研究. 图书情报工作. 63 (19). 128-135.
- [58]. 操玉杰,毛进*,潘荣清,巴志超,李纲. 学科交叉研究的演化阶段特征分析——以医学信息学为例. 数据分析与知识发现. 3 (5). 107-116. 2019.
- [59]. 毛进，李纲. 一种基于OKM的研究领域专家图谱构建方法. 图书情报工作. 58 (13). 34-40. 2014.
- [60]. 李纲，毛进. 元网络视角下的科研团队建模与分析. 图书情报工作. 58 (8). 65-72. 2014.
- [61]. 李纲，毛进，陈璟浩. 基于语义指纹快速聚类的中文文本去重. 现代图书情报技术. 41-47. 2014.
- [62]. 毛进, 李纲，操玉杰. 利用主题标引进行查询重排序. 现代图书情报技术. 2014.
- [63]. 巴志超, 李纲, 毛进, 等. 微信群内部信息交流的网络结构, 行为及其演化分析——基于会话分析视角. 情报学报. 37 (10). 1009-1021. 2018.
- [64]. 巴志超, 李纲, 安璐, 毛进等. 国家安全大数据综合信息集成:应用架构与实现路径. 中国软科学. 9-20. 2018.
- [65]. 巴志超, 李纲, 周利琴, 毛进. 数据科学及其对情报学变革的影响. 情报学报. 37 (7). 653-667. 2018.
- [66]. 李纲,管为栋,马亚雪*,毛进.学术论文的社交媒体可见性预测研究. 数据分析与知识发现. 4 (8). 63-74. 2020.
- [67]. 曾桢,李纲,毛进,陈璟浩.区域公共安全数据治理与业务领域本体研究. 数据分析与知识发现. 4 (9). 41-55. 2020.
- [68]. 李纲,潘荣清,毛进,操玉杰.整合BiLSTM-CRF网络和词典资源的中文电子病历实体识别. 现代情报. 40 (4). 3-12+58. 2020.
- [69]. 徐健,李纲,毛进,叶光辉. 文献被引片段特征分析与识别研究. 数据分析与知识发现. 1 (1). 37-45. 2017.
- [70]. 李纲, 柳明飞, 吴青,毛进. 基于蝴蝶结模型的科研团队角色识别及其特征研究. 图书情报工作. (5). 87-94.
- [71]. 李纲, 徐健, 毛进,等. 合著作者研究兴趣相似性分布研究. 图书情报工作. 61 (6). 92-98. 2017.
- [72]. 李纲, 任佳佳, 毛进, 杨冠灿. 专利权人合作网络的社群结构分析——以燃料电池电动汽车专利为例. 情报学报. 267-276. 2014.
- [73]. 李纲，陈璟浩, 毛进. 突发公共卫生事件网络语料库系统构建. 情报学报. 936-944. 2013.
- [74]. 易明, 曹高辉, 毛进, 邓卫华. 基于Tag的知识主题网络构建与Web知识推送研究. 中国图书馆学报. (4). 2011.
- [75]. 李纲, 李岚凤, 毛进, 叶光辉. 作者合著网络中研究兴趣相似性实证. 图书情报工作. 59 (2). 75-81. 2015.
- [76]. 李纲，刘广兴, 毛进, 叶光辉. 一种基于句法分析的情感标签抽取方法. 图书情报工作. 58 (13). 12-20. 2015.
- [77]. 操玉杰, 易明, 毛进. 社会性软件对知识传播的影响研究. 情报科学. 14-20. 2013.
- [78]. 易明, 毛进, 邓卫华. 基于社会化标签网络的细粒度用户兴趣建模. 现代图书情报技术. (4). 35-41. 2011.
- [79]. 易明, 操玉杰, 沈劲枝, 毛进. 社会化标签系统中基于密度聚类的Web用户兴趣建模方法. 情报学报. (1). 37-43. 2011.
- [80]. 易明, 操玉杰, 毛进. 基于点击流的个性化信息检索研究. 情报科学. (4). 619-623. 2011.
- [81]. 曹高辉, 王学东, 赵文军, 谢辉, 毛进. 基于知识交流网络的虚拟团队知识共享治理研究. 情报科学. (6). 810-815. 2011.
- [82]. 曹高辉, 毛进. 基于协同标注的B2C电子商务个性化推荐系统研究. 图书情报工作. 52 (12). 126-129,38. 2008.
- [83]. Chen X, Chen S, Mao J*, Li G. Affective and cognitive features of comments added by forwarders in Sina Weibo during disasters. Proc Assoc Inf Sci Technol. 2020. 2020.
- [84]. Ma, Y., Mao, J*., & Li, G. (2020). How are ego-centric networks of researchers coupled?. iConference 2020 Proceedings. 2020. 2020.
- [85]. Mao, J., Wang, S., & Shang, X*. Investigating interdisciplinary knowledge flow from the content perspective of citances. Proceedings of EEKE2020. 2020.
- [86]. Chen S., Mao, J*, & Li, G. (2019, March). Spatiotemporal Analysis on Sentiments and Retweet Patterns of Tweets for Disasters.. In International Conference on Information (pp. 436-443). Springer, Cham. (iConference 2019，Web of Science收录). 2019.
- [87]. Zhentao Liang, Jin Mao*, Yujie Cao, Gang Li.Idea Diffusion Patterns: SNA on Knowledge Meme Cascade Network. Proceedings of ISSI 2019. 2019.
- [88]. Sijing Chen, Jin Mao*, Xiao Wang, Gang Li. Understanding interactions among citizens, government authorities, media, and ngos on twitter during natural disaster. Proceedings of the Association for Information Science and Technology. 2019.
- [89]. Yaxue Ma, Jin Mao*, Gang Li. Location recommendation by combining geographical, categorical, and social preferences with location popularity. Proceedings of the Association for Information Science and Technology. 2019.
- [90]. Jin Mao*, Ji Zhang, Kun Lu, Gang Li. Understanding the relevance between text and images in disaster‐related social media posts. Proceedings of the Association for Information Science and Technology. 2019.
- [91]. Mao J, Lu K, Zhao W, et al. How many keywords do authors assign to research articles–a multi-disciplinary analysis?. iConference 2018 Proceedings. 2018.
- [92]. Moore L, Mao J, Blank C, Ackerman M, Hong Cui. (2016). Automated Text Mining of Prokaryotic Phenotypic Characters using MicroPIE.. The annual American Society for Microbiology general meeting. 2016.
- [93]. Mao J, Moore L, Blank C, Cui H. 2016. An Information Extraction Tool for Microbial Characters. Proceedings of iConference 2016. 2016.
- [94]. Lu K., Mao J., & Li G. (2015, December). Enhancing Subject Metadata with Automated Weighting in the Medical Domain: A Comparison of Different Measures.. In International Conference on Asian Digital Libraries . 2015.
- [95]. Mao J, & Lu K. (2014). Leverage the associations between documents, subject headings and terms to enhance retrieval.. In Proceedings of the Seventh International Workshop on Exploiting Semantic Annotations in Information Retrieval(ESAIR’2014). 2014.
- [96]. Li G, Mao J. Mining document, concept and term associations for effective retrieval.. 第20届海峡两岸信息管理发展与策略研讨会，武汉. 2014.
- [97]. Lu K., & Mao J. (2013). Automatically Infer Subject Terms and Documents Associations through Text Mining.. ASIST Annual meeting 2013. 2013.
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