Sen Su
Impact in
- Computer Networks and Communications top 0.5%
- Software-Defined Networks and 5G
- Caching and Content Delivery
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Information Systems top 0.5%
- Cloud Computing and Resource Management
Papers in
-
- Caching and Content Delivery 29
- Software-Defined Networks and 5G 25
- Peer-to-Peer Network Technologies 24
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- Privacy-Preserving Technologies in Data 39
- Advanced Graph Neural Networks 26
- Topic Modeling 25
- Co-authors
- Xiang Cheng (49 shared papers)Zhongbao Zhang (49 shared papers)Fangchun Yang (43 shared papers)Kai Shuang (44 shared papers)Yan Luo (5 shared papers)Jie Wang (3 shared papers)Jian Li (7 shared papers)Xiang Cheng (15 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (14 papers)Knowledge-Based Systems (6 papers)Computer Networks (5 papers)IEEE Transactions on Big Data (5 papers)Information Sciences (5 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Sen Su
223 papers receiving 3.8k citations
Sen Su's Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Networks and Communications 2.3k
- Information Systems 1.6k
- Artificial Intelligence 1.4k
- Statistical and Nonlinear Physics 327
- Computer Science Applications 136
Countries citing papers authored by Sen Su
This map shows the geographic impact of Sen Su'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 Sen Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Su more than expected).
Fields of papers citing papers by Sen Su
This network shows the impact of papers produced by Sen Su. 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 Sen Su. The network helps show where Sen Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Su, 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 243 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Virtual network embedding through topology-aware node ranking Hit paper breakdown → | 2011 | 454 |
| 2 | 2014 | 172 | |
| 3 | 2013 | 140 | |
| 4 | 2012 | 120 | |
| 5 | 2014 | 111 | |
| 6 | 2012 | 110 | |
| 7 | 2012 | 103 | |
| 8 | 2011 | 73 | |
| 9 | 2017 | 69 | |
| 10 | 2017 | 66 | |
| 11 | 2012 | 61 | |
| 12 | 2011 | 58 | |
| 13 | 2015 | 55 | |
| 14 | 2014 | 50 | |
| 15 | 2019 | 49 | |
| 16 | 2015 | 44 | |
| 17 | 2003 | 43 | |
| 18 | 2021 | 42 | |
| 19 | 2019 | 42 | |
| 20 | 2015 | 41 |
About Sen Su
Sen Su is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 243 papers that have together received 3.9k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (39 papers), Complex Network Analysis Techniques (33 papers), Service-Oriented Architecture and Web Services (31 papers), Caching and Content Delivery (29 papers), Advanced Graph Neural Networks (26 papers), Topic Modeling (25 papers), Software-Defined Networks and 5G (25 papers) and Peer-to-Peer Network Technologies (24 papers). The work is most often cited by research in Computer Networks and Communications (2.3k citations), Information Systems (1.6k citations), Artificial Intelligence (1.4k citations), Statistical and Nonlinear Physics (327 citations) and Computer Science Applications (136 citations). Sen Su has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiang Cheng, Zhongbao Zhang, Fangchun Yang, Kai Shuang, Yan Luo, Jie Wang, Jian Li, Xiang Cheng, Hanchi Wang and Qingjia Huang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems, Computer Networks, IEEE Transactions on Big Data 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.