wuhan university

团队师资

TEACHERS

黄永

黄永副教授

yonghuang1991@whu.edu.cn

科技文本挖掘、科学计量、学者主题选择行为、主题演化、科学合作机制

个人简介BIOGRAPHY

黄永，副教授，武汉大学信息检索与知识挖掘研究所成员。近年来在国内外期刊发表 论文近40篇，其中包括SCI/SSCI期刊论文25篇（学科顶级期刊论文11篇， 最高影响因子8.0），中文核心期刊论文11篇，国际会议论文3篇；GOOGLE SCHOLAR显示总被引次数337次，H指数为13，主持自然科学基金青年、博士后面上、博士后特助等项目，参与自科科学基金重点项目、社科重大项目、重点研发计划项目等重点或重大项目多项；研究成果获得了第八届高 等学校科学研究优秀成果奖（人文社会科学）二等奖、湖北省科技信息成果一等奖等奖励。

学术成果ACHIEVEMENTS

  • 【1】Jiang, Y., Meng, R., Huang, Y., Lu, W., & Liu, J. (2023). Generating keyphrases for readers: A controllable keyphrase generation framework. Journal of the Association for Information Science and Technology, 74(7), 759–774. https://doi.org/10.1002/asi.24749 [全文]
  • 【2】Huang, S., Huang, Y., Bu, Y., Luo, Z., & Lu, W. (2023). Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact. Journal of Informetrics, 17(2), 101409. https://doi.org/10.1016/j.joi.2023.101409 [全文]
  • 【3】Huang S, Qian J, Huang Y, et al. Disclosing the relationship between citation structure and future impact of a publication[J]. Journal of the Association for Information Science and Technology, 2022, 73(7): 1025-1042. [全文]
  • 【4】Zhang, L., Lu, W., Chen, H., Huang, Y., & Cheng, Q. (2022). A comparative evaluation of biomedical similar article recommendation. Journal of Biomedical Informatics, 104106. [全文]
  • 【5】Huang S, Lu W, Bu Y, et al. Revisiting the exploration-exploitation behavior of scholars’ research topic selection: Evidence from a large-scale bibliographic database[J]. Information Processing & Management, 2022, 59(6): 103110. [全文]
  • 【6】Yang J, Bu Y, Lu W, et al. Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process[J]. Journal of Informetrics, 2022, 16(1): 101239. [全文]
  • 【7】Huang Y, Lu W, Liu J, et al. Towards transdisciplinary impact of scientific publications: A longitudinal, comprehensive, and large-scale analysis on Microsoft Academic Graph[J]. Information Processing & Management, 2022, 59(2): 102859. [全文]
  • 【8】Huang S, Huang Y, Bu Y, et al. Fine-grained citation count prediction via a transformer-based model with among-attention mechanism[J]. Information Processing & Management, 2022, 59(2): 102799. [全文]
  • 【9】 Bu, Y., Lu, W., Wu, Y., Chen, H., & Huang, Y. (2021). How wide is the citation impact of scientific publications? A cross-discipline and large-scale analysis. Information Processing and Management, 58(1), 102429.(online) [全文]
  • 【10】姜艺,黄永,夏义堃,李鹏程,陆伟.学术文本词汇功能识别——在关键词自动抽取中的应用[J].情报学报,2021,40(02):152-162. [全文]
  • 【11】Lu W, Huang S, Yang J, et al. Detecting research topic trends by author-defined keyword frequency[J]. Information Processing & Management, 2021, 58(4): 102594. [全文]
  • 【12】Huang S, Qian J, Huang Y, et al. Disclosing the relationship between citation structure and future impact of a publication[J]. Journal of the Association for Information Science and Technology, 2021. [全文]
  • 【13】Zhang, L., Huang, Y., Yang, J., & Lu, W. (2021). Aggregating large-scale databases for PubMed author name disambiguation. Journal of the American Medical Informatics Association, 28(9), 1919-1927.
  • 【14】Huang, Y, Bu, Y, Ding, Y, & Lu, W. (2020). Partitioning highly, medium and lowly cited publications. Journal of Information Science. https://doi.org/10.1177/0165551520917655 [全文]
  • 【15】Huang Y , Bu Y , Ding Y , et al. Exploring direct citations between citing publications[J]. Journal of Information Science, 2020(8):016555152091765. [全文]
  • 【16】Huang Y , Bu Y , Ding Y , et al. Partitioning highly, medium and lowly cited publications[J]. Journal of Information Science, 2020:016555152091765. [全文]
  • 【17】Lu W , Liu Z , Huang Y , et al. How do authors select keywords? A preliminary study of author keyword selection behavior[J]. Journal of Informetrics, 2020, 14(4):101066.
  • 【18】Cheng Q , Wang J , Lu W , et al. Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis[J]. Scientometrics, 2020, 124. [全文]
  • 【19】Zhang L, Huang Y, Cheng Q, et al. Mining Author Identifiers for PubMed by Linking to Open Bibliographic Databases[C]//2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2020: 209-212. [全文]
  • 【20】Lu W, Liu Z, Huang Y, et al. How do authors select keywords? A preliminary study of author keyword selection behavior[J]. Journal of Informetrics, 2020, 14(4): 101066.
  • 【21】Huang, Y, Bu, Y, Ding, Y, & Lu, W. (2018). Direct citations between citing publications. Journal of Information Science. 2020 (to appear)
  • 【22】Yi Bu, Yong Huang, Wei Lu. Loops in publication citation networks. Journal of Information Science, 2019(9) [全文]
  • 【23】Huang Y, Bu Y, Ding Y, et al. From zero to one: A perspective on citing[J]. Journal of the Association for Information Science and Technology, 2019, 70(10): 1098-1107. [全文]
  • 【24】Yi Bu, Yong Huang, Wei Lu，Loops in publication citation networks， Journal of information science, First Published September 6, 2019, vol. 46, 6: pp. 837-848. [全文]
  • 【25】Meng G, Huang Y, Yu Q, et al. Adopting text mining on rehabilitation therapy repositioning for stroke[J]. Frontiers in neuroinformatics, 2019, 13: 17. [全文]
  • 【26】Yong Huang, Yi Bu, Ying Ding, Wei Lu. Number versus structure: towards citing cascades. Scientometrics 117 (3), 2177-2193. [全文]
  • 【27】Bu, Y., Wang, B., Huang, W. B., Che, S., & Huang, Y. (2018). Using the appearance of citations in full text on author co-citation analysis. Scientometrics, 116(1), 275-289. [全文]
  • 【28】Wei Lu, Yong Huang, Yi Bu, Qikai Cheng. Functional structure identification of scientific documents in computer science. Scientomerics. 2018, 115:463–486 [全文]
  • 【29】 Huang Y, Bu Y, Ding Y, et al. Number versus structure: towards citing cascades[J]. Scientometrics, 2018, 117(3): 2177-2193. [全文]
  • 【30】Lu W, Huang Y, Bu Y, et al. Functional structure identification of scientific documents in computer science[J]. Scientometrics, 2018, 115(1): 463-486. [全文]
  • 【31】Bu, Y., Murray, D. S., Ding, Y., Huang, Y., & Zhao, Y. (2018). Measuring the stability of scientific collaboration. Scientometrics, 114(2), 463-479. [全文]
  • 【32】方龙,李信,黄永,陆伟.学术文本的结构功能识别——在关键词自动抽取中的应用[J].情报学报,2017,36(06):599-605. [全文]
  • 【33】方龙,李信,黄永,陆伟.学术文本的结构功能识别——在关键词自动抽取中的应用[J].情报学报,2017,36(06):599-605. [全文]
  • 【34】黄永, 陆伟, 程齐凯,等. 非物质文化遗产知识本体构建系统的设计与实现--以西藏“锅庄”、“堆谐”为例[J]. 西藏民族学院学报, 2016, 37(1):20-26. [全文]
  • 【35】黄永, 陆伟, 程齐凯, 桂思思. 学术文本的结构功能识别——基于段落的识别[J]. 情报学报, 2016, 35(3):530–538. [全文]
  • 【36】黄永, 陆伟, 程齐凯,桂思思. 学术文本的结构功能识别——在学术搜索中的应用[J]. 情报学报, 2016, 35(4):425-431. [全文]
  • 【37】Zhang Q, Cheng Q, Huang Y, Lu W. A Bootstrapping-based Method to Automatically Identify Data-usage Statements in Publications[J]. Journal of Data and Information Science, 2016, 9(1):69-85. [全文]
  • 【38】黄永, 陆伟, 程齐凯,等. 学术文本的结构功能识别——基于段落的识别[J]. 情报学报, 2016, 35(5):293-300. [全文]
  • 【39】陈海华, 黄永, 张炯,等. 基于引文上下文的学术文本自动摘要技术研究[J]. 数字图书馆论坛, 2016(8):43-49. [全文]
  • 【40】雷声伟, 陈海华, 黄永,等. 学术文献引文上下文自动识别研究[J]. 图书情报工作, 2016(17):78-87. [全文]
  • 【41】黄永, 陆伟, 程齐凯. 学术文本的结构功能识别——基于章节内容的识别[J]. 情报学报, 2016, 35(3):293-300. [全文]
  • 【42】黄永,陆伟,程齐凯,桂思思.学术文本的结构功能识别——在学术搜索中的应用[J].情报学报,2016,35(04):425-431.
  • 【43】黄永,陆伟,程齐凯,桂思思.学术文本的结构功能识别——基于段落的识别[J].情报学报,2016,35(05):530-538.
  • 【44】Lioma C, Larsen B, Lu W, et al. A study of factuality, objectivity and relevance: Three desiderata in large-scale information retrieval?[C]//Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. 2016: 107-117. [全文]
  • 【45】Lioma C, Larsen B, Lu W, et al. A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval?[C]// Ieee/acm International Conference on Big Data Computing, Applications and Technologies. ACM, 2016:107-117. [全文]
  • 【46】黄永,陆伟,程齐凯.学术文本的结构功能识别——基于章节内容的识别[J].情报学报,2016,35(03):293-300. [全文]
  • 【47】陆伟, 黄永, 程齐凯,等. 学术文本的结构功能识别功能框架及基于章节标题的识别[J]. 情报学报, 2014(9):979-985. [全文]
  • 【48】陆伟,黄永,程齐凯.学术文本的结构功能识别——功能框架及基于章节标题的识别[J].情报学报,2014,33(09):979-985. [全文]