步一

信息计量学 (Informetrics)、科学学 (Science of Science)、科技期刊研究（Scientific and Technical Journals）
科技管理 (Science and Technology Management)、科技情报 (Scientific and Technical Information)、科技政策（Science and Technology Policies）
复杂网络 (Complex Networks)、学术大数据（Scholarly Big Data）、大数据应用 (Big Data Applications)

Ph.D. in Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, U.S.A.
Master of Science in Data Science, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, U.S.A.
管理学学士 (Bachelor of Management)，信息管理与信息系统专业 (Major in Information Management and System)，华体会·体育,华体会（中国） (Department of Information Management, Peking University)

2020.7-, 华体会·体育,华体会（中国），助理教授、研究员 (Assistant Professor at the Department of Information Management, Peking University)
2019.1-2020.6, Research Fellow, Center for Science and Science and Innovation (CSSI), Northwestern Institute of Complex Systems (NICO), Kellogg School of Management, Northwestern University, U.S.A.
2019.8-2020.5, In-record Instructor, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, U.S.A.
2017.1-2019.7, Associate Instructor, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, U.S.A.

[1]《Python数据分析》 (Data Analytics with Python，含上机课): 信息管理系“大数据管理与应用”本科专业必修课，外国语学院数字人文与外语人才项目主干课，信息管理系“信息管理与信息系统”和“图书馆学”本科专业选修课，政府管理学院“数字治理”方向选修课（春季开课）
[2]《数据可视化》 (Data Visualization): 信息管理系“大数据管理与应用”本科专业和政府管理学院“数字治理”方向必修课，信息管理系“信息管理与信息系统”和“图书馆学”本科专业选修课（春季开课）

[3]《数据可视化导论》 (Introduction to Data Visualization): 面向全校（以人文社科和一部分理工科为主）开设的公选课，如暑期开设同时也会面向部分校外同学
[4]《复杂网络理论与实践》 (Introduction to Complex Networks: Theories and Practices)：面向全校开设的公选课（与邱韫哲老师合上；秋季开课）

[5]《数据科学导引C》 (Introduction to Data Science C)：面向全校（以人文社科为主）开设的通识教育课（与黄文彬老师、孟凡老师合上；秋季开课）

[6]《信息计量学》 (Informetrics)：信息管理系“信息管理与信息系统”本科专业必修课，信息管理系“大数据管理与应用”和“图书馆学”本科专业选修课（与赵丹群老师合上；秋季开课）

[7]《信息计量学专题研究》 (Informetrics Seminar)：信息管理系情报学学术型硕士必修课，其他专业硕博士选修课（与赵丹群老师合上；春季开课）

星号表示通讯作者（Stars represent corresponding authorship），下划线表示指导的学生（Underlined authors are my supervised students）。

更多期刊和会议论文请见个人主页（See more journal and conference publications at my English webpage）：https://buyi08.wixsite.com/yi-bu 或 http://scholar.pku.edu.cn/buyi

[1] Bu, Y., Ding, Y., Liang, X., & Murray, D. S. (2018). Understanding persistent scientific collaboration. Journal of the Association for Information Science and Technology (JASIST), 69(3), 438-448.
[2] Kong, X., Zhang, J., Zhang, D., Bu, Y., Ding, Y., & Xia, F. (2020). The gene of scientific success. ACM Transactions on Knowledge Discovery in Data, 14(4), 41-59. (该研究被Nature Index撰文报道：Predicting your future h-index—Study aims to forecast success)
[3] Bu, Y., Wang, B., Chinchilla-Rodríguez, Z., Sugimoto, C. R., Huang, Y., & Huang, W.-B. (2021). Considering author sequence in all-author co-citation analysis. Information Processing and Management, 57(6), 102300.
[4] 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.
[5] Bu, Y., Li, M., Gu, W., & Huang, W.-B. (2021). Topic diversity: A discipline scheme-free diversity measurement for journals. Journal of the Association for Information Science and Technology (JASIST), 72(5), 523-539. (JASIST当期封面文章)
[6] Bu, Y., Waltman, L., & Huang, Y. (2021). A multidimensional framework for characterizing the citation impact of scientific publications. Quantitative Science Studies, 2(1), 155-183.
[7] 步一，许家伟，黄文彬. (2021). 基于引文的科学文献定量评价：引文影响力指标评述. 图书情报知识, 38(6), 47-59.
[8] Huang, Y., Lu, W., Liu, J., Cheng, Q., & Bu, Y.* (2022). Towards transdisciplinary impact of scientific publications: A longitudinal, comprehensive, and large-scale analysis on Microsoft Academic Graph. Information Processing and Management, 59(2), 102859.
[9] 步一，陈洪侃，许家伟，王延飞. 跨学科研究的范式解析: 理解情报学术中的“范式”. 情报理论与实践, 2022, 45(3), 12-18, 34.
[10] Liu, M., Bu, Y., Chen, C., Xu, J., Li, D., Leng, Y., …, & Ding, Y. (2022). Pandemics are catalysts of scientific novelty: Evidence from COVID-19. Journal of the Association for Information Science and Technology (JASIST), 73(8), 1065-1078. (该研究为JASIST当期封面文章，并被Atlantic Daily、Nature Feature、ASIS&T的在线传播论坛Information Matters、林墨公众号等多家媒体转载或报道).
[11] 步一，薛睿，孟凡，黄文彬. (2022). 知识图谱的关键技术及其在情报学中的应用. 情报学进展, 14, 349-383.
[12] Liu, M., Yang, S., Bu, Y., & Zhang, N. (2023). Female early-career scientists have conducted less interdisciplinary research in the past six decades: Evidence from doctoral theses. Nature Humanities and Social Sciences Communications, 10, 918-933.
[13] 柳美君，石静，杨斯杰，步一*. (2024). 科学家研究主题演化速度与科研绩效的关系研究：基于计算机科学领域的分析. 图书情报工作, 68(6), 72-82.
[14] Wu, L., Yi, F., Bu, Y., Lu, W., & Huang, Y. (2024). Towards scientific collaboration: A cost-benefit perspective. Research Policy, 53(2), 104943.
[15] Hu, L., Huang, W.-b., & Bu, Y.* (2024). Interdisciplinary research attracts greater attention from policy documents: Evidence from COVID-19. Humanities and Social Sciences Communications, 11, 383.
[16] 柳美君，杨杰，石静，步一*. (2024). 中国内地科技人才跨境流动网络多样性与互惠性研究. 科学学研究, 2024.
[17] 步一. (2024). 从“是什么”到“为什么”：信息资源管理学科的因果推断探索. 情报理论与实践, 2024.