Yi Bu
Impact in
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- scientometrics and bibliometrics research
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- Interdisciplinary Research and Collaboration
Papers in
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- scientometrics and bibliometrics research 72
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- Complex Network Analysis Techniques 28
- Co-authors
- Yong Huang (22 shared papers)Ying Ding (23 shared papers)Wei Lu (17 shared papers)Ying Ding (13 shared papers)Jian Xu (11 shared papers)Qikai Cheng (7 shared papers)Win-Bin Huang (14 shared papers)Chao Min (13 shared papers)
- Journals
- Journal of Informetrics (18 papers)Journal of the Association for Information Science and Technology (17 papers)Scientometrics (16 papers)Information Processing & Management (12 papers)Journal of Information Science (8 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Bu
119 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 165
- Statistics, Probability and Uncertainty 748
- Information Systems and Management 192
- Statistical and Nonlinear Physics 286
- Health Informatics 26
- Computer Science Applications 69
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-authors
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
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 129 | |
| 2 | 2020 | 91 | |
| 3 | 2021 | 64 | |
| 4 | 2020 | 64 | |
| 5 | 2020 | 53 | |
| 6 | 2017 | 52 | |
| 7 | 2020 | 52 | |
| 8 | 2021 | 51 | |
| 9 | 2019 | 49 | |
| 10 | 2018 | 45 | |
| 11 | 2020 | 39 | |
| 12 | 2009 | 39 | |
| 13 | 2021 | 36 | |
| 14 | 2020 | 36 | |
| 15 | 2022 | 36 | |
| 16 | 2017 | 34 | |
| 17 | 2017 | 33 | |
| 18 | 2020 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 2018 | 29 |
About Yi Bu
Yi Bu is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Information Systems and Management, Information Systems and Artificial Intelligence, having authored 134 papers that have together received 1.9k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (72 papers), Complex Network Analysis Techniques (28 papers), Advanced Text Analysis Techniques (15 papers), Topic Modeling (10 papers), Interdisciplinary Research and Collaboration (9 papers), Scientific Computing and Data Management (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Research Data Management Practices (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (748 citations), Information Systems and Management (192 citations), Statistical and Nonlinear Physics (286 citations), Health Informatics (26 citations) and Computer Science Applications (69 citations). Yi Bu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Huang, Ying Ding, Wei Lu, Ying Ding, Jian Xu, Qikai Cheng, Win-Bin Huang, Chao Min, Chenwei Zhang and Xin Li. 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.