Yi Bu
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- scientometrics and bibliometrics research 68
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- Interdisciplinary Research and Collaboration 9
- Scientific Computing and Data Management 8
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- Complex Network Analysis Techniques 27
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques 14
- Topic Modeling 9
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- Biomedical Text Mining and Ontologies 7
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- Innovation and Knowledge Management 5
- Co-authors
- Yong HuangYing DingWei LuJian XuQikai ChengChao MinChenwei ZhangXin Li
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementStatistical and Nonlinear Physics
- Journals
- Journal of Informetrics (16 papers)Journal of the Association for Information Science and Technology (16 papers)Scientometrics (13 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Bu
105 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 171
- Statistics, Probability and Uncertainty 711
- Information Systems and Management 190
- Statistical and Nonlinear Physics 281
- Health Informatics 26
- Artificial Intelligence 406
Countries citing papers authored by Yi Bu
This map shows the geographic impact of Yi Bu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yi Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Bu more than expected).
Fields of papers citing papers by Yi Bu
This network shows the impact of papers produced by Yi Bu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yi Bu. The network helps show where Yi Bu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yi Bu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 47 | |
| 15 | 2021 | 29 | |
| 16 | 2020 | 31 | |
| 17 | 2020 | 19 | |
| 18 | Comparing Breakthrough and Non-Breakthrough Papers from Early Citing Structures. | 2019 | 1 |
| 19 | 2018 | 32 | |
| 20 | 2009 | 32 |
About Yi Bu
Yi Bu is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Statistical and Nonlinear Physics, having authored 117 papers that have together received 1.8k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (68 papers), Complex Network Analysis Techniques (27 papers), Advanced Text Analysis Techniques (14 papers), Topic Modeling (9 papers), Interdisciplinary Research and Collaboration (9 papers), Scientific Computing and Data Management (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Innovation and Knowledge Management (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (711 citations), Information Systems and Management (190 citations) and Statistical and Nonlinear Physics (281 citations). Yi Bu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yong Huang, Ying Ding, Wei Lu, Jian Xu, Ying Ding, Qikai Cheng, Chao Min, Chenwei Zhang, Xin Li and Win-Bin Huang. Their work appears in journals such as Journal of Informetrics, Journal of the Association for Information Science and Technology, Scientometrics, Information Processing & Management and Journal of Information Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.