Bo Yuan
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- Caching and Content Delivery 11
- IoT and Edge/Fog Computing 10
- Peer-to-Peer Network Technologies 5
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 7
- Cloud Computing and Resource Management 5
- Artificial Intelligence top 10%
- Artificial Intelligence in Games 4
- Reinforcement Learning in Robotics 3
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- Context-Aware Activity Recognition Systems 3
- Co-authors
- Lu LiuNick AntonopoulosJohn PanneerselvamAshiq AnjumFatih KurugöllüRabia SaleemYao LuHongsheng Liu
- Journals
- IEEE Access (1 paper)Food Hydrocolloids (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Bo Yuan
42 papers receiving 510 citations
Peers
Comparison fields: 5 of 103
- Computer Networks and Communications 208
- Information Systems 174
- Health Informatics 8
- Artificial Intelligence 159
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Bo Yuan
This map shows the geographic impact of Bo Yuan'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 Bo Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Yuan more than expected).
Fields of papers citing papers by Bo Yuan
This network shows the impact of papers produced by Bo Yuan. 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 Bo Yuan. The network helps show where Bo Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Yuan, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 27 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 24 | |
| 17 | 2019 | 13 | |
| 18 | 2019 | 28 | |
| 19 | 2017 | 17 | |
| 20 | Hierarchical Petri nets based software requirement refinement for Web service | 2006 | 2 |
About Bo Yuan
Bo Yuan is a scholar working on Computer Networks and Communications, Health Informatics and Information Systems, having authored 47 papers that have together received 532 indexed citations. Recurring topics across this work include Caching and Content Delivery (11 papers), IoT and Edge/Fog Computing (10 papers), Service-Oriented Architecture and Web Services (7 papers), Peer-to-Peer Network Technologies (5 papers), Cloud Computing and Resource Management (5 papers), Artificial Intelligence in Games (4 papers), Reinforcement Learning in Robotics (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (208 citations), Information Systems (174 citations) and Health Informatics (8 citations). Bo Yuan has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Lu Liu, Nick Antonopoulos, John Panneerselvam, Ashiq Anjum, Fatih Kurugöllü, Rabia Saleem, Yao Lu, Hongsheng Liu, Jiayan Gu and Xiaozhu Liu. Their work appears in journals such as IEEE Access, Food Hydrocolloids and International Journal of Biological Macromolecules.
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.