社会兼职
担任国家自然科学基金通讯评审专家，Electronic Library、Library Hi Tech、Behaviour & Information Technology等SCI/SSCI国际期刊审稿专家，iConference等知名国际会议、《图书情报知识》等CSSCI期刊审稿专家，ICSH 2018等国际学术会议程序委员会委员，《中国大百科全书》第三版情报学学科秘书，教育部人文社科重点研究基地智库联合体成员，国际知识组织学会（ISKO）会员，国际信息系统学会中国分会（CNAIS）会员。
研究成果：专著、专利
[1] 马费成，宋恩梅，赵一鸣.信息管理学基础(第三版).武汉大学出版社，2018.
[2] 马费成，赵一鸣.知识组织与知识服务研究进展.马费成主编.信息管理与信息系统研究进展.武汉大学出版社，2017.
[3] 赵一鸣.基于多维尺度分析的潜在主题可视化研究.武汉大学出版社，2015.
[4] Jin Zhang, Yiming Zhao. Visual Data Mining in a Q&A based Social Media Website// Chuanfu Chen, Ronald Larsen. Library and Information Sciences (LIS): Trends and Research. Berlin Heidelberg: Springer, 2014.
研究成果：期刊论文
[1] Zhao, Y., Wu, L., Zhang, J. & Le T. (2021). How Question Characteristics Impact Answer Outcome on Social Question-and-Answer Websites. Journal of Global Information Management, Forthcoming
[2] Wang A,Zhao Y.*, & Chen Y. (2021). Information Search Trail Recommendation Based on Markov Chain Model and Case-based Reasoning. Data and Information Management, 5(1): 228-241.
[3] Chen, Y.,Zhao, Y.* & Wang, Z. (2020), Understanding online health information consumers' search as a learning process: Search platform sequences, query reformulation and conceptual changes, Library Hi Tech, 38(4): 859-881.
[4] Zhao Y., Wang A. & Sun Y. (2020), Technological environment, virtual experience, and MOOC continuance: A stimulus–organism–response perspective, Computers & Education, 144:1-14.
[5] Sun, Y., Guo, Y., &Zhao, Y.*(2020). Understanding the determinants of learner engagement in MOOCs: An adaptive structuration perspective. Computers & Education, 157: 1-11.
[6] Zhao, Y., Zhang, J., Xia, X., & Le, T. (2019). Evaluation of Google question-answering quality. Library Hi Tech, 37(2):312-328.
[7] Sun, Y., Ni, L.,Zhao, Y.*, Shen, X., & Wang, N. (2019). Understanding Students’ Engagement in MOOCs: An Integration of Self-determination Theory and Theory of Relationship Quality. British Journal of Educational Technology, 50(6):3156-3174.
[8] Zhao, Y.(2018). The Center for Studies of Information Resources. Science特刊, 10-11.
[9] Zhao, Y., Chen, B., Zhang, J., Ding, Y., Mao, J., & Zhou, L. (2018). An investigation on the evolution of diabetes data in social Q&A logs. Data and Information Management, 2(1), 37-48.
[10] Bu, Y., Murray,D.,Ding, Y., Huang, Y.,&Zhao, Y.(2018). Measuring the Stability of Scientific Collaboration. Scientometrics, 2018(114), 463-479.
[11] Bu, Y., Ding, Y., Xu, J., Liang, X., Gao, G., &Zhao, Y.(2018). Understanding success through the diversity of collaborators and the milestone of career. Journal of the Association for Information Science and Technology, 69(1), 87-97.
[12] Ma F.,Chen Y.,&Zhao, Y.*(2017). Research on the Organization of User Needs Information in the Big Data Environment. Electronic Library, 35(1), 36-49.
[13] Zhang J.,Zhao, Y.,DimitroffA. (2014). A study on health care consumers’ diabetes term usage across identified categories, Aslib Journal of Information Management, 66(4), 443-463.
[14] Zhang J.,Zhao, Y.(2013).Auser term visualization analysis based on a social question and answer log. Information Processing & Management, 49(5), 1019-1048.
[15] 赵一鸣，李倩.用户移动搜索系统使用路径的评价研究[J].图书情报工作, 2021,65(11): 89-100.
[16] 赵一鸣，吴林容，任笑笑.基于多知识图谱的中文文本语义图构建研究[J].情报科学, 2021, 39(04):23-29.
[17] 赵一鸣，刘炫彤.中外文搜索引擎自然语言问答能力的比较与评价研究[J].情报科学,2020,38(01):67-74.
[18] 赵一鸣，高晓寒，李倩，梁少博.网络搜索引擎知识卡片功能的评价与比较研究[J].图书情报知识,2019(06):84-92+101.
[19] 赵一鸣，朱奕蓉，吴林容.智能语音助手的知识服务能力评价研究[J].图书与情报,2019(04):132-140.
[20] 赵一鸣，夏雪，孙永强.网络搜索引擎自然语言问答能力的评价研究[J].图书情报知识.2019,(2):102-110.（人大复印报刊资料全文转载）
[21] 洪漪，赵栋祥，赵一鸣.大数据环境下的信息架构与数据模型[J].信息资源管理学报,2018,8(01):29-38.
