Luyi Bai
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
-
- Geographic Information Systems Studies
Papers in
-
- Advanced Graph Neural Networks 34
- Topic Modeling 24
- Semantic Web and Ontologies 21
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- Data Management and Algorithms 36
- Co-authors
- Lin Zhu (26 shared papers)Zongmin Ma (8 shared papers)Li Yan (8 shared papers)Mingcheng Zhang (3 shared papers)Nan Li (7 shared papers)Cong Wang (1 shared paper)Jiahui Hu (2 shared papers)Ying Wang (1 shared paper)
- Journals
- IEEE Access (6 papers)Applied Intelligence (6 papers)Applied Soft Computing (5 papers)Neural Networks (4 papers)Information Sciences (3 papers)
- Partner nations
- ChinaBangladeshUnited Kingdom
In The Last Decade
Luyi Bai
70 papers receiving 455 citations
Peers
Comparison fields: 5 of 63
- Signal Processing 132
- Geography, Planning and Development 62
- Artificial Intelligence 290
- Management Science and Operations Research 66
- Computer Vision and Pattern Recognition 103
Countries citing papers authored by Luyi Bai
This map shows the geographic impact of Luyi Bai'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 Luyi Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyi Bai more than expected).
Fields of papers citing papers by Luyi Bai
This network shows the impact of papers produced by Luyi Bai. 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 Luyi Bai. The network helps show where Luyi Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyi Bai, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2022 | 28 | |
| 3 | 2023 | 23 | |
| 4 | 2012 | 22 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2014 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2023 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2024 | 8 | |
| 20 | 2015 | 8 |
About Luyi Bai
Luyi Bai is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 80 papers that have together received 466 indexed citations. Recurring topics across this work include Data Management and Algorithms (36 papers), Advanced Graph Neural Networks (34 papers), Topic Modeling (24 papers), Semantic Web and Ontologies (21 papers), Advanced Database Systems and Queries (17 papers), Geographic Information Systems Studies (14 papers), Constraint Satisfaction and Optimization (14 papers) and Data Quality and Management (13 papers). The work is most often cited by research in Signal Processing (132 citations), Geography, Planning and Development (62 citations), Artificial Intelligence (290 citations), Management Science and Operations Research (66 citations) and Computer Vision and Pattern Recognition (103 citations). Luyi Bai has collaborated with scholars based in China, Bangladesh and United Kingdom. Frequent co-authors include Lin Zhu, Zongmin Ma, Li Yan, Mingcheng Zhang, Nan Li, Cong Wang, Jiahui Hu, Ying Wang, Lin Zhu and Mingsheng He. Their work appears in journals such as IEEE Access, Applied Intelligence, Applied Soft Computing, Neural Networks and Information Sciences.
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.