Kai Gao

427 citations
32 papers · 310 indexed · h-index 10
Topics
Software-Defined Networks and 5G (26 papers)Network Traffic and Congestion Control (10 papers)Cloud Computing and Resource Management (7 papers)
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Kai Gao

31 papers receiving 298 citations

Peers

Kai Gao
Comparison fields: 5 of 23
  • Computer Networks and Communications 284
  • Electrical and Electronic Engineering 100
  • Information Systems 58
  • Artificial Intelligence 37
  • Hardware and Architecture 23
Replace Ahmed Meddahi with:
Ahmed Meddahi France
Praveen Tammana India
Rafael Pasquini Brazil
Jamal Hadi Salim Greece
Jonghwan Hyun South Korea
Jan Rüth Germany
Toke Høiland-Jørgensen Sweden
Behnaz Arzani United States
Davide Sanvito Italy
Zhuolong Yu United States
Kai Gao relative to Ahmed Meddahi France Ahmed Meddahi's profile →
Citations per field
00.5×3.2×
Ahmed Meddahi · 1×
Citations per year

Countries citing papers authored by Kai Gao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Gao. A scholar is included among the top collaborators of Kai Gao 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 Kai Gao. Kai Gao 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 0
2 4
3 4
4 2
5 1
6 4
7
Sextant: Enabling Automated Network-aware Application optimization in Carrier Networks
1
8 20
9 3
10 1
11 6
12 16
13 13
14 20
15 2
16 12
17 8
18 14
19 2
20 58

About Kai Gao

Kai Gao is a scholar working on Computer Networks and Communications, Developmental Biology and Hardware and Architecture, having authored 32 papers that have together received 310 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (26 papers), Network Traffic and Congestion Control (10 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Computer Networks and Communications (284 citations), Hardware and Architecture (23 citations) and Information Systems (58 citations). Kai Gao has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Jun Bi, Jian Wu, Ze Chen, Bin Hao, Yufan Yang, Changqiao Xu, Baobao Zhang, Guangxu Chen, Yu Zhou and Yangyang Wang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE/ACM Transactions on Networking and Computer Networks.

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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