Weibei Fan
Impact in
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- Interconnection Networks and Systems
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Hardware and Architecture top 10%
Papers in
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- Interconnection Networks and Systems 32
- Software-Defined Networks and 5G 24
- IoT and Edge/Fog Computing 7
- Caching and Content Delivery 5
- Distributed and Parallel Computing Systems 5
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- Cloud Computing and Resource Management 27
- Co-authors
- Ruchuan Wang (19 shared papers)Jianxi Fan (16 shared papers)Zhijie Han (17 shared papers)Peng Li (11 shared papers)Fu Xiao (19 shared papers)Jing He (9 shared papers)Mengjie Lv (13 shared papers)Cheng‐Kuan Lin (3 shared papers)
In The Last Decade
Weibei Fan
57 papers receiving 410 citations
Peers
Comparison fields: 5 of 45
- Computer Networks and Communications 295
- Hardware and Architecture 40
- Information Systems 126
- Artificial Intelligence 82
- Electrical and Electronic Engineering 130
Countries citing papers authored by Weibei Fan
This map shows the geographic impact of Weibei Fan'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 Weibei Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibei Fan more than expected).
Fields of papers citing papers by Weibei Fan
This network shows the impact of papers produced by Weibei Fan. 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 Weibei Fan. The network helps show where Weibei Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weibei Fan, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 49 | |
| 2 | 2021 | 30 | |
| 3 | 2019 | 28 | |
| 4 | 2018 | 19 | |
| 5 | 2023 | 18 | |
| 6 | 2019 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2023 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2021 | 6 |
About Weibei Fan
Weibei Fan is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture, having authored 72 papers that have together received 414 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (32 papers), Cloud Computing and Resource Management (27 papers), Software-Defined Networks and 5G (24 papers), Advanced Optical Network Technologies (11 papers), IoT and Edge/Fog Computing (7 papers), Caching and Content Delivery (5 papers), Parallel Computing and Optimization Techniques (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (295 citations), Hardware and Architecture (40 citations), Information Systems (126 citations), Artificial Intelligence (82 citations) and Electrical and Electronic Engineering (130 citations). Weibei Fan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Ruchuan Wang, Jianxi Fan, Zhijie Han, Peng Li, Fu Xiao, Jing He, Mengjie Lv, Cheng‐Kuan Lin, Xiaobai Chen and Shui Yu. Their work appears in journals such as IEEE Transactions on Reliability, IEEE Transactions on Computers, The Computer Journal, IEEE Transactions on Network Science and Engineering and IEEE Transactions on Parallel and Distributed Systems.
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.