Bei Yu
Impact in
- General Social Sciences top 0.2%
- Marketing top 5%
Papers in
-
- Topic Modeling 13
- Advanced Text Analysis Techniques 10
- Sentiment Analysis and Opinion Mining 8
-
- Digital Marketing and Social Media 6
- Misinformation and Its Impacts 4
- Co-authors
- Linchi Kwok (5 shared papers)Stefan Kaufmann (3 shared papers)Daniel Diermeier (3 shared papers)Atulya Velivelli (1 shared paper)ChengXiang Zhai (1 shared paper)Jian Fang Li (2 shared papers)Bingya Liu (2 shared papers)Zheng Zhu (1 shared paper)
- Journals
- Therapeutic Innovation & Regulatory Science (2 papers)Proceedings of the American Society for Information Science and Technology (2 papers)Clinical Pharmacology & Therapeutics (2 papers)Proceedings of the VLDB Endowment (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Bei Yu
79 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 162
- General Social Sciences 94
- Marketing 180
- Information Systems and Management 131
- Artificial Intelligence 608
- Communication 122
Countries citing papers authored by Bei Yu
This map shows the geographic impact of Bei Yu'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 Bei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Yu more than expected).
Fields of papers citing papers by Bei Yu
This network shows the impact of papers produced by Bei Yu. 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 Bei Yu. The network helps show where Bei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Yu, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 250 | |
| 2 | 2012 | 249 | |
| 3 | 2004 | 163 | |
| 4 | 2008 | 121 | |
| 5 | 2011 | 104 | |
| 6 | 2008 | 90 | |
| 7 | 2008 | 79 | |
| 8 | 2020 | 63 | |
| 9 | 2004 | 59 | |
| 10 | 2020 | 49 | |
| 11 | 2013 | 49 | |
| 12 | 2011 | 48 | |
| 13 | 2007 | 42 | |
| 14 | 2008 | 38 | |
| 15 | 2013 | 37 | |
| 16 | 2020 | 35 | |
| 17 | 2021 | 33 | |
| 18 | 2006 | 32 | |
| 19 | 2004 | 29 | |
| 20 | 2016 | 28 |
About Bei Yu
Bei Yu is a scholar working on Artificial Intelligence, Sociology and Political Science, Molecular Biology, Electrical and Electronic Engineering and Information Systems, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Advanced Text Analysis Techniques (10 papers), Sentiment Analysis and Opinion Mining (8 papers), Computational and Text Analysis Methods (6 papers), Digital Marketing and Social Media (6 papers), VLSI and FPGA Design Techniques (4 papers), Misinformation and Its Impacts (4 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in General Social Sciences (94 citations), Marketing (180 citations), Information Systems and Management (131 citations), Artificial Intelligence (608 citations) and Communication (122 citations). Bei Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Linchi Kwok, Stefan Kaufmann, Daniel Diermeier, Atulya Velivelli, ChengXiang Zhai, Jian Fang Li, Bingya Liu, Zheng Zhu, Min Yan and Flip Korn. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Proceedings of the American Society for Information Science and Technology, Clinical Pharmacology & Therapeutics, Proceedings of the VLDB Endowment and Journal of Medical Internet Research.
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.