Bay Vo
Impact in
- Information Systems top 0.2%
- Data Mining Algorithms and Applications
- Computational Theory and Mathematics top 0.2%
- Rough Sets and Fuzzy Logic
Papers in
-
- Data Mining Algorithms and Applications 93
-
- Rough Sets and Fuzzy Logic 78
- Co-authors
- Tuong Le (22 shared papers)Bac Le (22 shared papers)Loan T. T. Nguyen (29 shared papers)Tzung‐Pei Hong (21 shared papers)Sung Wook Baik (7 shared papers)Philippe Fournier‐Viger (6 shared papers)Frans Coenen (4 shared papers)Unil Yun (18 shared papers)
- Journals
- Applied Intelligence (15 papers)Expert Systems with Applications (13 papers)Information Sciences (12 papers)IEEE Access (7 papers)Engineering Applications of Artificial Intelligence (7 papers)
- Partner nations
- VietnamSouth KoreaTaiwan
In The Last Decade
Bay Vo
109 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 114
- Information Systems 1.8k
- Computational Theory and Mathematics 1.2k
- Signal Processing 560
- Artificial Intelligence 1.4k
- Health Information Management 73
Countries citing papers authored by Bay Vo
This map shows the geographic impact of Bay Vo'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 Bay Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bay Vo more than expected).
Fields of papers citing papers by Bay Vo
This network shows the impact of papers produced by Bay Vo. 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 Bay Vo. The network helps show where Bay Vo may publish in the future.
Co-authors
The 25 scholars most cited alongside Bay Vo, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 200 | |
| 2 | 2017 | 142 | |
| 3 | 2012 | 86 | |
| 4 | 2019 | 74 | |
| 5 | 2020 | 65 | |
| 6 | 2014 | 63 | |
| 7 | 2020 | 61 | |
| 8 | 2019 | 60 | |
| 9 | 2019 | 60 | |
| 10 | 2019 | 56 | |
| 11 | 2013 | 54 | |
| 12 | 2019 | 50 | |
| 13 | 2017 | 47 | |
| 14 | 2019 | 46 | |
| 15 | 2013 | 45 | |
| 16 | 2016 | 43 | |
| 17 | 2012 | 39 | |
| 18 | 2019 | 37 | |
| 19 | 2020 | 37 | |
| 20 | 2018 | 37 |
About Bay Vo
Bay Vo is a scholar working on Information Systems, Computational Theory and Mathematics, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 114 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (93 papers), Rough Sets and Fuzzy Logic (78 papers), Imbalanced Data Classification Techniques (36 papers), Data Management and Algorithms (21 papers), Algorithms and Data Compression (13 papers), Advanced Database Systems and Queries (9 papers), Data Stream Mining Techniques (6 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Information Systems (1.8k citations), Computational Theory and Mathematics (1.2k citations), Signal Processing (560 citations), Artificial Intelligence (1.4k citations) and Health Information Management (73 citations). Bay Vo has collaborated with scholars based in Vietnam, South Korea and Taiwan. Frequent co-authors include Tuong Le, Bac Le, Loan T. T. Nguyen, Tzung‐Pei Hong, Sung Wook Baik, Philippe Fournier‐Viger, Frans Coenen, Unil Yun, Jerry Chun‐Wei Lin and Minh Thanh Vo. Their work appears in journals such as Applied Intelligence, Expert Systems with Applications, Information Sciences, IEEE Access and Engineering Applications of Artificial Intelligence.
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.