Gong Su

1.0k citations
26 papers · 685 indexed · h-index 8
Topics
Cloud Computing and Resource Management (10 papers)Distributed systems and fault tolerance (7 papers)Advanced Data Storage Technologies (6 papers)
Partner nations
United StatesChinaItaly

In The Last Decade

Gong Su

25 papers receiving 638 citations

Peers

Gong Su
Comparison fields: 5 of 44
  • Computer Networks and Communications 498
  • Information Systems 354
  • Hardware and Architecture 228
  • Artificial Intelligence 193
  • Electrical and Electronic Engineering 84
Replace Jóakim von Kistowski with:
Jóakim von Kistowski Germany
Myeongjae Jeon United States
Jitu Padhye United Kingdom
Jonathan Appavoo United States
H. Andrés Lagar-Cavilla United States
Cristian Ungureanu United States
Robert B. Hagmann United States
Joon‐Myung Kang South Korea
Evangelia Kalyvianaki United Kingdom
Daniel Hagimont France
Gong Su relative to Jóakim von Kistowski Germany Jóakim von Kistowski's profile →
Citations per field
00.5×1.5×
Jóakim von Kistowski · 1×
Citations per year

Countries citing papers authored by Gong Su

Since Specialization
Citations

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

Fields of papers citing papers by Gong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gong Su

This figure shows the co-authorship network connecting the top 25 collaborators of Gong Su. A scholar is included among the top collaborators of Gong 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 Gong Su. Gong 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
#WorkIndexed citations
1 6
2 37
3 57
4 1
5 2
6 7
7 1
8 2
9 4
10 12
11 7
12 7
13 3
14 1
15 75
16
Move: mobility with persistent network connections
10
17 109
18 25
19 297
20 6

About Gong Su

Gong Su is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 26 papers that have together received 685 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Distributed systems and fault tolerance (7 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (228 citations), Computer Networks and Communications (498 citations) and Information Systems (354 citations). Gong Su has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Jason Nieh, Dinesh Subhraveti, Ling Liu, Ricardo A. Baratto, Arun Iyengar, Fatih İlhan, Yanzhao Wu, Wenqi Wei, Weixiong Rao and Peng Zhao. Their work appears in journals such as IEEE Transactions on Computers, Computer Networks and ACM SIGOPS Operating Systems Review.

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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