中文
黄天元，浙江财经大学数据科学与大数据技术系讲师，复旦大学博士，中国科学院文献情报中心博士后。在Scientometrics、Journal of Informetrics、BioScience、R Journal、Journal of Open Source Software、Journal of Data and Information Science、《复旦教育论坛》等国内外权威期刊发表论文10余篇，出版图书3部，在CRAN上维护有4个开源软件包。目前主要从事信息资源管理、科技情报挖掘、科学学与科教政策领域方面的研究，同时致力于利用数据科学迅速积累行业经验优势和科学知识发现。曾获人民邮电出版社2024年影响力作者奖，担任Scientometrics、Humanities & Social Sciences Communications、Quality & Quantity等期刊审稿人。
代表性论文
1. Huang, T. Y., & Xue, J. (2026). A CRediT‐based quantitative study of co‐corresponding authorship: Collaboration patterns and contribution distribution. Journal of Informetrics, 20(2), 101796. [SCI/SSCI]
2. Huang, T. Y., & Xiong, W. (2025). Multidimensional bibliometric assessment of science funding effectiveness. Journal of Informetrics, 19(4), 101731. [SCI/SSCI]
3. Huang, T. Y., Li, L., & Meng, P. (2025). Journal internationalization of non-English-speaking countries: Indicator framework design and influencing factor analysis. Journal of Informetrics, 19(3), 101671. [SCI/SSCI]
4. Huang, T. Y., & Xue, J. (2025). Examining the role of co-first authorship in scientific collaboration: a quantitative study. Scientometrics, 130(4), 2357-2377. [SCI/SSCI]
5. Huang, TY., Ding, L., Yu, YQ. et al. (2023). From AR5 to AR6: exploring research advancement in climate change based on scientific evidence from IPCC WGI reports. Scientometrics 128, 5227–5245. [SCI/SSCI]
6. Huang T, Yue T. How does the Research Capacity Gap among Institutions Change over Time?. Journal of Data and Information Science, 2022, 7(4): 3-4. [ESCI]
7. Huang, TY., Yang, L. (2022). Superior identification index: Quantifying the capability of academic journals to recognize good research. Scientometrics 127, 4023–4043. [SCI/SSCI]
8. Huang T Y, Li L and Yang L. akc: A Tidy Framework for Automatic Knowledge Classification in R. The R Journal, 2022: 67-76. [SCI]
9. Tian-Yuan Huang, Bin Zhao, (2020). tidyfst: Tidy Verbs for Fast Data Manipulation. Journal of Open Source Software, 5(52), 2388.
10. Huang, T. Y., Downs, M. R., Ma, J., & Zhao, B. (2020). Collaboration across time and space in the LTER Network. BioScience, 70(4), 353-364. [SCI]
11. Huang, T. Y., Zhao, B., Dai, S. Q., Li, H., Ma, J., & Xiao, X. M. (2018). Different nation, different ecology: Comparison of ecological research features in China and the US during the recent three decades. Global Ecology and Conservation, 16, e00509. [SCI]
12. 赵斌,黄天元.人工智能时代的高等教育与变革.复旦教育论坛,2019,17(04):18-25. [CSSCI]
出版图书
1. 黄天元.2019. R语言数据高效处理指南[M].北京大学出版社
2. 黄天元.2021. 文本数据挖掘——基于R语言[M].机械工业出版社
3. 黄天元.2024. 机器学习全解（R语言版）[M].人民邮电出版社
维护软件
1. akc: Automatic Knowledge Classification. Link: https://cran.r-project.org/package=akc.
2. tidyfst: Tidy Verbs for Fast Data Manipulation. Link: https://cran.r-project.org/package=tidyfst
3. tidyft: Tidy Verbs for Fast Data Operations by Reference. Link: https://cran.r-project.org/package=tidyft
4. siie: Superior Identification Index and Its Extensions. Link: https://cran.r-project.org/package=siie
主页链接
1. GitHub主页：https://github.com/hope-data-science
2. 知乎专栏：https://zhuanlan.zhihu.com/c_1019948391228395520
3. ORCID：https://orcid.org/ 0000-0002-4151-3764
4. Research Gate: https://www.researchgate.net/profile/Tian_Yuan_Huang