Zhiyang Su

538 total citations
21 papers, 339 citations indexed

About

Zhiyang Su is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Zhiyang Su has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 10 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Zhiyang Su's work include Software-Defined Networks and 5G (13 papers), Cloud Computing and Resource Management (9 papers) and Interconnection Networks and Systems (5 papers). Zhiyang Su is often cited by papers focused on Software-Defined Networks and 5G (13 papers), Cloud Computing and Resource Management (9 papers) and Interconnection Networks and Systems (5 papers). Zhiyang Su collaborates with scholars based in Hong Kong, Qatar and China. Zhiyang Su's co-authors include Mounir Hamdi, Ting Wang, Yu Xia, Bo Qin, Jogesh K. Muppala, Yang Liu, Di Jiang, Yi Xu, Yawen Li and Rongzhong Lian and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Fuel.

In The Last Decade

Zhiyang Su

19 papers receiving 326 citations

Peers

Zhiyang Su
Comparison fields: 5 of 39
  • Computer Networks and Communications 299
  • Information Systems 179
  • Electrical and Electronic Engineering 85
  • Artificial Intelligence 50
  • Hardware and Architecture 17
Replace Fábio L. Verdi with:
Fábio L. Verdi Brazil
David Shue United States
Yuzhong Sun China
Rafael Pasquini Brazil
Feza Buzluca Türkiye
Wentao Shang United States
Srivatsan Ravi United States
Milad Ghaznavi Canada
Marcin Wójcik United Kingdom
J. Quittek Germany
Fábio L. Verdi Brazil View profile →
Citations per field, relative to Zhiyang Su
Zhiyang Su · 1×
Citations per year, relative to Zhiyang Su
Zhiyang Su · 1×

Countries citing papers authored by Zhiyang Su

Since Specialization
Citations

This map shows the geographic impact of Zhiyang 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 Zhiyang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiyang Su more than expected).

Fields of papers citing papers by Zhiyang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhiyang 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 Zhiyang Su. The network helps show where Zhiyang Su may publish in the future.

Co-authorship network of co-authors of Zhiyang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiyang Su. A scholar is included among the top collaborators of Zhiyang Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhiyang Su. Zhiyang Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 20
5 8
6 1
7 3
8 12
9 28
10 15
11 18
12 41
13 8
14 12
15 74
16 40
17 4
18 18
19 1
20 7

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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