Sen Su

4.8k citations
202 papers · 3.3k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Sen Su

185 papers receiving 3.2k citations

Hit Papers

Virtual network embedding through topology-aware node ranking 2011 · 420 citations
4202011202620162021100200300400

Peers

Sen Su
Comparison fields: 5 of 107
  • Computer Networks and Communications 2.0k
  • Information Systems 1.3k
  • Artificial Intelligence 1.1k
  • Statistical and Nonlinear Physics 281
  • Computer Science Applications 120
Replace Hong Shen with:
Hong Shen Australia
Anwitaman Datta Singapore
Junzhou Luo China
Hongli Zhang China
David Choffnes United States
Fabián E. Bustamante United States
Dimitrios Katsaros Greece
Maarten van Steen Netherlands
Jin-Hee Cho United States
Hyoungshick Kim South Korea
Sen Su relative to Hong Shen Australia Hong Shen's profile →
Citations per field
00.5×1.5×2.0×
Hong Shen · 1×
Citations per year

Countries citing papers authored by Sen Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Sen Su Line = papers co-authored together Sen Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 20230
6 202311
7 202313
8 20226
9 20223
10 202215
11 20228
12 20225
13 20217
14 20219
15 20208
16 20209
17 20187
18 2014149
19 20130
20 20129

About Sen Su

Sen Su is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics and Computer Science Applications, having authored 202 papers that have together received 3.3k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (37 papers), Complex Network Analysis Techniques (28 papers), Software-Defined Networks and 5G (25 papers), Advanced Graph Neural Networks (23 papers), Caching and Content Delivery (23 papers), Cloud Computing and Resource Management (20 papers), Cryptography and Data Security (20 papers) and Topic Modeling (19 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Information Systems (1.3k citations), Artificial Intelligence (1.1k citations), Statistical and Nonlinear Physics (281 citations) and Computer Science Applications (120 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, Hanchi Wang, Qingjia Huang and Xiang Cheng. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, Computer Networks, Knowledge-Based Systems and IEEE Transactions on Big Data.

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.

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